Sentence examples for high incorrect from inspiring English sources

A report by the British Psychological Society in 2004 concluded that: "The results of better quality research studies demonstrate that while the correct classification of deceivers can sometimes be fairly high, incorrect decisions about who is or is not being deceptive occur at rates that are far from negligible.

Mock reactions analyzed by flow fluorimetry provided evidence that high incorrect signal was not ligase-dependent.

To reconcile this inconsistency, we investigated the cause of high incorrect signal and low correct signal for polymorphism detection using multiplex OLA.

Furthermore, the correct signal from a 0.01 ng control input was insignificant without competimer due to high incorrect signal (Figure 3C) whereas competimer supplementation extricated this data point (p = 0.03; Mann-Whitney; Figure 3E).

To rule out ligase error as the source of high incorrect signal, we used an 839 bp amplicon (RTS2-RTA8) from HIV-1 reference plasmid pNL4.3 which includes the wild-type reverse transcriptase codon 215 ACC.

RCO-BCO combinations for RT codons 65, 151, 188 and 190 had the lowest incorrect signals (less than 300 MFI compared to a mean incorrect signal of 1031 MFI) whereas those for PR codon 82 and RT codons 74, 75 and 103 exhibited the highest incorrect signals in the dataset (>1000 MFI).

Since a read can be annotated "Accurate", "Higher", "Incorrect" or "Unassigned", the sum of the percentages in the corresponding part of each row in Table 1 and 2 should be 100%.

Two of these were identified in the HFMEA, although they were not seen there as high risk: incorrect recording of patient's INR; and incomplete information in medical history.

Health care providers raised concern about patients lost to follow up due to high mobility, incorrect home address of patients, unstructured information sharing and lack of patient tracking within country.

In some fortuitous cases (e.g. 2o3b), the unbound structures happen to be less favourable to some high ranking incorrect models than to some acceptable models, leading to better results with unbound structures.

Persons who stutter showed a higher percentage dysfluencies and a higher percentage incorrect speech productions than PWNS but there were no main group effects in reaction times and word durations.