{"id":"W2964216090","doi":"10.2196/13386","title":"The Impact of Medical Students’ Individual Teaching Format Choice on the Learning Outcome Related to Clinical Reasoning","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formative assessment; Key (lock); Feature (linguistics); Outcome (game theory); Computer science; Medical education; Mathematics education; Psychology; Artificial intelligence; Medicine; Mathematics; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005935797,0.0003768128,0.0005724704,0.0004333943,0.0002414675,0.001175132,0.0004322899,0.00056135,0.003714788],"category_scores_gemma":[0.02474415,0.0001972544,0.0006151124,0.0003188441,0.0004385474,0.0006529189,0.0007375913,0.0007219091,0.0004820141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139858,"about_ca_system_score_gemma":0.0005849261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206406,"about_ca_topic_score_gemma":0.0002776061,"domain_scores_codex":[0.9967034,0.001456055,0.0004024091,0.0004742345,0.0006525845,0.0003112998],"domain_scores_gemma":[0.9751948,0.01453849,0.004887214,0.001038713,0.0009031862,0.003437557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09795076,0.03989456,0.5376797,0.0006285322,0.001065701,0.0002912004,0.003156541,0.003172947,0.02360185,0.000209536,0.0008000568,0.2915487],"study_design_scores_gemma":[0.00335823,0.1690046,0.8061398,0.000131598,0.0005969628,0.0004421725,0.001187979,0.003331116,0.01419681,0.0003521385,0.001159363,0.00009922271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995844,0.00008474102,0.00008933705,0.00001838961,0.000006171602,0.00003554863,0.00001395896,0.000003949535,0.0001634465],"genre_scores_gemma":[0.9994288,0.00004030043,0.0002772079,0.00001388919,0.00000636865,0.00005618629,0.00002124796,0.00000226897,0.0001538117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005935797,"threshold_uncertainty_score":0.03139192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757859690385167,"score_gpt":0.5054586306448167,"score_spread":0.467880033740965,"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."}}