{"id":"W4322715789","doi":"10.15195/v10.a4","title":"Testing Models of Cognition and Action Using Response Conflict and Multinomial Processing Tree Models","year":2023,"lang":"en","type":"article","venue":"Sociological Science","topic":"Mental Health Research Topics","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cognition; Multinomial distribution; Action (physics); Cognitive psychology; Psychology; Social psychology; Computer science; Econometrics","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":[0.002438455,0.00006705919,0.0001193802,0.00009698303,0.0004146684,0.0000262584,0.00009710005,0.00009871502,0.00001030825],"category_scores_gemma":[0.0006432267,0.00005344742,0.00001089328,0.0004409135,0.001370175,0.0002682292,0.0001224445,0.0001658239,0.000002870942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005694884,"about_ca_system_score_gemma":0.00008891997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007813103,"about_ca_topic_score_gemma":0.000001585904,"domain_scores_codex":[0.9986779,0.0002448697,0.0001771813,0.0003238154,0.0002216968,0.000354552],"domain_scores_gemma":[0.9989974,0.0006221986,0.0000856124,0.00007160757,0.00009852494,0.0001246433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001017932,0.00009329841,0.005631596,0.0001368575,0.000005447889,0.00001899588,0.009065499,0.001012008,0.7310132,0.002805187,0.00001547784,0.2491845],"study_design_scores_gemma":[0.0006209359,0.0003682327,0.1497063,0.00005469404,0.000005941523,0.0000230166,0.002966647,0.8308727,0.001122554,0.01413622,0.000006826426,0.000115952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970963,0.00009701115,0.001233498,0.0001536168,0.00005418512,0.0002301365,0.00000533502,0.000052081,0.001077827],"genre_scores_gemma":[0.9976617,0.00001675136,0.002178435,0.00005588879,0.0000324366,0.00001361329,0.000001054872,0.000003614583,0.00003647516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8298606,"threshold_uncertainty_score":0.5048467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6842188249380247,"score_gpt":0.548392992547193,"score_spread":0.1358258323908317,"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."}}