Sentences with phrase «such false positives»

An important concern for the court is therefore the number of any such false positives.

«In order to avoid such false positives, we needed expertise in statistics and bioinformatics, which Aswin Seshasayee and Praveen Anand provided,» continues Palakodeti.

Not exact matches

A doula can remind you of the high false positive rate for EFM and remind you to ask your caregiver about options for verifying the diagnosis (such as using an internal monitor or stimulating the baby's scalp).

Because only about 16 in every 100,000 people end their own lives, a test with such a level of accuracy will give many false positive and false negative results if used on the general population.

Such «false positive» results plague many fields, particularly psychology.

«Such a high rate of a false positives in this particular study was unexpected,» says Tandy - Connor, who believes that some of the discrepancies in the results can be explained by technical differences between the various testing methods used.

Still, he said, «An explosive eruption can probably be tied to volcanism if false positives such as dust storms can be ruled out.»

The researchers found that false rumours were far more likely to contain negative terms such as «no» or «not» than positive terms such as «like» or «love».

However, some scenarios can mimic the signature of a transiting planet, such as two stars that orbit each other, and provide a false positive signal.

In theory, FAST has the potential to detect terrorists in the final minutes before they act, but critics warn that the system may have other consequences, such as flagging innocent travelers through false positives while letting some with ill intent sneak by through false negatives.

Such a large data set would help researchers detect more significant variants and weed out false positives.

Discounting false positive sources based on observational or instrumental artifacts or produced by statistically possible coincidences of noise - features in low - amplitude detections, such sources are all related to eclipsing systems.

The high - amplitude region of depths over 5 % is not covered by candidates in the follow - up program, because the eclipse depth as such identifies these cases as false positives in planet finding, excluding them automatically from follow - up observations.

We discuss common correction schemes such as Bonferroni, Holm, Benjamini & Hochberg and Storey's q and show how they impact the false positive rate (FPR), false discovery rate (FDR) and power of a batch of tests.

In addition, we identify 428 KOIs likely to be false positives that have not yet been identified as such, though some of these may be a result of unidentified transit timing variations.

This goal requires knowledge of the incidence of false positives such as eclipsing binaries in the background of the targets, or physically bound to them, which can mimic the photometric signal of a transiting planet.

For models, such as SMR, where the distribution of the model parameters is unknown, permutation test and stability selection are typically used to control for false positives.

Half of these may be real planets, while the other half are likely «false positives,» or something other than a planet that is causing the light dip, such as another star.

They say fraudsters have now developed tools to circumvent such techniques, and these methods even have a high false positive rate, meaning dating sites are falsely identifying good users as bad.

With such huge costs associated with false positives and far fewer with false negatives, authorizers behave rationally when adding front - end barriers.

Some teachers who are not high - performing will be classified as such (false positives), while some teachers who are high - performing will not be classified as such (false negatives).

Through understanding this we are able to eliminate «false positives» such as accidentally dropping your phone and only monitor the sensors of a mobile phone when driving.

Both false positive and false negative test results are possible for coccidiomycosis in endemic areas — such as Arizona.

In summary if you have an autocorrelated time series (such as temperature) you will get lots of false positives without the methods shown in this paper.

«Furthermore, contrary to the blatantly false contention of the United States Environmental Protection Agency and others, CO2 is not a pollutant; it is a pollution fighter that reduces the negative effects of true pollutants, such as ozone, and replaces them with positive effects that are of great worth to man and nature alike.»

So when discussing the efficacy of such tests, medical professionals tend to speak of sensitivity and specificity, measures that focus on the number of true positives and true negatives, the logical siblings of false positives and false negatives.

found that there are carbon monoxide alarms available to buy online in the UK that are not compliant with the BS EN 50291 industry safety standard; further notes that such noncompliant alarms can fail to detect dangerous levels of carbon monoxide, leaving consumers with a false sense of confidence and thus exposing consumers to the risk of carbon monoxide poisoning; notes that eBay, Amazon and Robert Dyas have all taken positive steps to remove dangerous carbon monoxide alarms and detectors from their product lines; and calls on the Government to ensure that all carbon monoxide alarms on the market in the UK are compliant with the BS EN 50291 standard.»

It is more surprising that the Superintendent of Motor Vehicles in BC actually relies upon these such tests to prohibit innocent people from driving (leading to other severe financial or life - changing repercussion) in situations where the breath testing equipment might be in fact reading false positives.

It sounds simple enough, but Craig says the real value of AI will be in reducing the number of «false positives» that trip up such systems and recognize significant variations in the way employees, customers and entire systems behave or operate on a 24/7 basis.

Much of the discussion has forced attorneys and other laypersons (from the perspective of the science involved) to come to terms with concepts such as recall and precision, confidence levels, confidence intervals, acceptable error rates, false positives and negatives, statistical sampling, algorithms, and other rather involved topics.

Plus, I suspect they are far out - weighed by the number of «false positive» Facebook «Likes,» self - promotional tweets and glowing reviews written by friends, family and gnomes on sites like Fiverr, who will post such huzzahs in exchange for five bucks.

These false positives can damage users» systems — such mistakes generally end up in the news, as when Microsoft Security Essentials identified Google Chrome as a virus, AVG damaged 64 - bit versions of Windows 7, or Sophos identified itself as malware.

The statement adds that a change in phrase will ensure «less false positives», though it should be noted that most users who have pointed out about Alexa laughing did not issue a command as such.

The false positive rate is low, between 1 and 10 percent of all positive results, but unfortunately, such a result can lead to more invasive treatment that might in reality be unnecessary.

Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).