{"id":"W4229007925","doi":"10.1097/wnn.0000000000000304","title":"BNT–15: Revised Performance Validity Cutoffs and Proposed Clinical Classification Ranges","year":2022,"lang":"en","type":"article","venue":"Cognitive and Behavioral Neurology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Cutoff; Replicate; Neurocognitive; Limiting; Test (biology); Medicine; Measure (data warehouse); Cognition; Artificial intelligence; Clinical psychology; Psychology; Statistics; Computer science; Mathematics; Psychiatry; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0182259,0.0009716321,0.0006177368,0.004156214,0.0006791749,0.0013495,0.002011664,0.001205893,0.002016183],"category_scores_gemma":[0.05560186,0.0002216566,0.001175094,0.001503681,0.00134783,0.001466048,0.001647439,0.001243856,0.001387839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745578,"about_ca_system_score_gemma":0.002723574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003818092,"about_ca_topic_score_gemma":0.003878391,"domain_scores_codex":[0.9918749,0.00316387,0.002076922,0.0005826114,0.001928432,0.00037342],"domain_scores_gemma":[0.9738002,0.01003798,0.004479811,0.001067162,0.009689139,0.0009258195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008153605,0.0003435848,0.7595417,0.0004364443,0.0001840195,0.0003148987,0.001304061,0.004711835,0.002192887,0.007012159,0.01604391,0.2070991],"study_design_scores_gemma":[0.0005050669,0.002734908,0.8972613,0.001421626,0.0002698671,0.004361565,0.001558815,0.03681192,0.006259509,0.0233685,0.02525321,0.0001937005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8242046,0.007564765,0.1192641,0.00613294,0.001208648,0.002634999,0.005073439,0.001307114,0.03260941],"genre_scores_gemma":[0.8587002,0.0007704369,0.1290425,0.0005425495,0.0001616105,0.002916882,0.005878613,0.0001129297,0.001874176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182259,"threshold_uncertainty_score":0.09638888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2299709970034901,"score_gpt":0.3988489508537895,"score_spread":0.1688779538502995,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}