{"id":"W3023477990","doi":"10.1016/b978-0-12-407156-8.00004-9","title":"Psychometric Functions∗","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychometric function; Psychometric testing; Goodness of fit; Item response theory; Psychology; Psychometrics; Bayesian probability; Function (biology); Weibull distribution; Psychometric tests; Statistics; Cognitive psychology; Mathematics; Clinical psychology; Psychophysics; Cronbach's alpha; Cognition; Perception; Psychiatry","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":[0.0009094536,0.001704237,0.001002722,0.002271182,0.0004361836,0.0034378,0.001085694,0.00122004,0.1233293],"category_scores_gemma":[0.004778863,0.0004852976,0.0006206051,0.002930029,0.001003401,0.004300952,0.001532058,0.001811382,0.08972708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071598,"about_ca_system_score_gemma":0.0005482608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133479,"about_ca_topic_score_gemma":0.0008773483,"domain_scores_codex":[0.9995454,0.00007221349,0.00003313349,0.0001120288,0.0002075747,0.00002968458],"domain_scores_gemma":[0.9990257,0.0003445006,0.00004144178,0.0003080783,0.0002322779,0.00004806835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002818062,0.00002217544,0.0001859766,0.0002017258,0.00001609316,0.00006453808,0.000102327,0.002043001,0.001838389,0.177898,0.09185382,0.7257458],"study_design_scores_gemma":[0.00001234457,0.00002378473,0.001478406,0.0002785696,0.0000210715,0.0006544596,0.00007815779,0.01117536,0.002720173,0.3806215,0.6028887,0.00004747459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003034729,0.01257029,0.3099431,0.001399908,0.001332492,0.00003763612,0.001224932,0.004668551,0.6657884],"genre_scores_gemma":[0.08730925,0.01760824,0.09274177,0.0005734705,0.00165018,0.0001218,0.003513973,0.004010763,0.7924706],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1233293,"threshold_uncertainty_score":0.4125777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06751490497716038,"score_gpt":0.3058959370290148,"score_spread":0.2383810320518544,"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."}}