{"id":"W4402730979","doi":"10.1080/23279095.2024.2406313","title":"Fifteen years later: Enhancing the classification accuracy of the performance validity module of the Advanced Clinical Solutions","year":2024,"lang":"en","type":"article","venue":"Applied Neuropsychology Adult","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Medical physics; Artificial intelligence; Medicine","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":[0.02756791,0.0004672113,0.0005744997,0.002665192,0.0007759772,0.002615502,0.0008964173,0.0007882419,0.001934235],"category_scores_gemma":[0.1037641,0.0002317284,0.0007552969,0.001862778,0.0007802478,0.00270446,0.002716221,0.001641584,0.0008468872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244999,"about_ca_system_score_gemma":0.00535565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009967032,"about_ca_topic_score_gemma":0.01129559,"domain_scores_codex":[0.9900003,0.004317324,0.001310113,0.0007834111,0.002768354,0.000820575],"domain_scores_gemma":[0.9511254,0.0157325,0.01099801,0.003351125,0.01591069,0.002882342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004557476,0.0004851258,0.7942281,0.0001087749,0.0001082527,0.00009115131,0.002471995,0.0008199128,0.0001736601,0.001008837,0.004781431,0.1952671],"study_design_scores_gemma":[0.0001002785,0.002382829,0.9675778,0.0004054693,0.0001921238,0.0003339236,0.002719189,0.01142153,0.001600168,0.003013337,0.01017824,0.00007517772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852638,0.0005673608,0.003194509,0.003091859,0.000273569,0.0003160406,0.0007005206,0.0001536361,0.006438598],"genre_scores_gemma":[0.9901611,0.0003374118,0.006043328,0.0005053373,0.0001054482,0.0002768558,0.0007747234,0.00002716912,0.001768757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02756791,"threshold_uncertainty_score":0.1457947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124506286383802,"score_gpt":0.4649908467514654,"score_spread":0.2525402181130852,"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."}}