{"id":"W1867292416","doi":"10.36834/cmej.36589","title":"Experienced physicians benefit from analyzing initial diagnostic hypotheses","year":2013,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Odds ratio; Nephrology; Medicine; Odds; Confidence interval; Medical diagnosis; Internal medicine; Medical decision making; Cognition; Closure (psychology); Metacognition; Family medicine; Logistic regression; Pathology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002243365,0.0001479062,0.0002962307,0.0001960478,0.0002140423,0.0001327943,0.0002025514,0.0001942141,0.07475568],"category_scores_gemma":[0.3337006,0.0001272421,0.0001310347,0.0002352002,0.0001765711,0.0001450617,0.00001305026,0.0006665812,0.0005922691],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501838,"about_ca_system_score_gemma":0.01655443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05307348,"about_ca_topic_score_gemma":0.005988556,"domain_scores_codex":[0.998217,0.00005335129,0.0004606384,0.0002315624,0.0005935196,0.0004439674],"domain_scores_gemma":[0.979764,0.006872748,0.0001716535,0.0003231427,0.0005356474,0.01233278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001088676,0.0003489621,0.03195932,0.00000481471,0.00007570803,0.0001874327,0.00150338,0.000003363169,0.00002653893,0.0002240132,0.1738356,0.7918199],"study_design_scores_gemma":[0.002926295,0.0004734679,0.8803475,0.008523596,0.0003358771,0.001207018,0.009523459,0.0006939392,0.0002336849,0.008923915,0.08605237,0.0007588153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472001,0.0008545416,0.00009457703,0.04536263,0.001980593,0.0002001358,0.0000095467,0.00002504404,0.004272797],"genre_scores_gemma":[0.9382852,0.0002312829,0.0006210742,0.05694417,0.003389251,0.00005404407,0.00004602518,0.00002230753,0.0004065979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8483883,"threshold_uncertainty_score":0.9890208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870167998650206,"score_gpt":0.3314353724692928,"score_spread":0.3127336924827908,"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."}}