{"id":"W2042018541","doi":"10.1097/acm.0b013e31827fc58d","title":"Developing a Unified List of Physicians’ Reasoning Tasks During Clinical Encounters","year":2013,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vocabulary; Framing (construction); Task (project management); Psychology; Analytic reasoning; Medical education; Computer science; Deductive reasoning; Medicine; Artificial intelligence; Linguistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001185084,0.0002486538,0.00101517,0.0001460447,0.00006808063,0.000004695949,0.0002469729,0.0003915684,0.0004121061],"category_scores_gemma":[0.05491451,0.0001896262,0.0001438879,0.0004208004,0.000586801,0.0001019877,0.0000979426,0.001184357,0.00009819747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008409937,"about_ca_system_score_gemma":0.0001927939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004642918,"about_ca_topic_score_gemma":0.000002876882,"domain_scores_codex":[0.9968945,0.0001133742,0.001486955,0.0004712011,0.0005709587,0.0004629626],"domain_scores_gemma":[0.9918678,0.006600135,0.0004969804,0.0004529887,0.0002779515,0.0003041156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006691059,0.0001584267,0.7991353,0.0006904437,0.0006759333,0.0001853488,0.00539041,0.00001041382,0.02576524,0.007994704,0.0777076,0.08161712],"study_design_scores_gemma":[0.01048682,0.00101852,0.9289883,0.04270438,0.0006161532,0.0001988648,0.004077556,0.0005692674,0.004181691,0.002378437,0.004222388,0.0005575942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813638,0.0008757353,0.0009160385,0.0114182,0.0006711653,0.0004699108,0.000002216735,0.0001076336,0.004175323],"genre_scores_gemma":[0.9881703,0.00169223,0.001406315,0.00572908,0.001421189,0.00003169992,0.00003462981,0.00003722994,0.001477367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298531,"threshold_uncertainty_score":0.9530463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877149748658039,"score_gpt":0.3968433081135903,"score_spread":0.3380718106270099,"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."}}