{"id":"W4388668764","doi":"10.1007/s12207-023-09490-4","title":"Cutoff Elasticity in Multivariate Models of Performance Validity Assessment as a Function of the Number of Components and Aggregation Method","year":2023,"lang":"en","type":"article","venue":"Psychological Injury and Law","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Chrysler (Canada)","funders":"","keywords":"Multivariate statistics; Cutoff; Multivariate analysis; Malingering; False positive paradox; Statistics; Psychology; Econometrics; Mathematics; Psychiatry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029744,0.00007665959,0.0002706383,0.0000460005,0.00003594924,0.000003360688,0.00006163835,0.00009665697,0.00006337091],"category_scores_gemma":[0.00009339049,0.00004755742,0.00003800847,0.000284406,0.0002700466,0.00007251281,0.00007169845,0.0002168187,0.000001855438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001156363,"about_ca_system_score_gemma":0.000009868791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008208118,"about_ca_topic_score_gemma":0.000001712443,"domain_scores_codex":[0.9988111,0.0002919158,0.0003336357,0.0001783896,0.0002650643,0.0001199562],"domain_scores_gemma":[0.9992455,0.000345069,0.0001231058,0.0001738511,0.00006889372,0.00004360831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008330424,0.003200097,0.4839263,0.001855341,0.0002384525,0.000006486681,0.001501768,0.000343205,0.2522904,0.164212,0.0001362015,0.08395924],"study_design_scores_gemma":[0.001066015,0.0005728422,0.9646972,0.000155217,0.00002982883,0.000008251839,0.00004646494,0.0168225,0.002955089,0.01358287,0.00001933278,0.00004441066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932985,0.000005874286,0.002251298,0.000189144,0.00006347094,0.0003139112,0.00001568131,0.00001192108,0.00385023],"genre_scores_gemma":[0.9977456,0.00003986232,0.002069412,0.00006754124,0.000009414596,0.00001617833,0.000005371438,0.000004421099,0.00004220612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807709,"threshold_uncertainty_score":0.1939335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2069333246143102,"score_gpt":0.4641281388297245,"score_spread":0.2571948142154142,"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."}}