{"id":"W2949993659","doi":"10.1186/s12909-019-1638-3","title":"Does providing the correct diagnosis as feedback after self-explanation improve medical students diagnostic performance?","year":2019,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Medical diagnosis; Diagnostic accuracy; Medicine; Control (management); Medical physics; Computer science; Artificial intelligence; Internal medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002013571,0.0003821256,0.0005447966,0.0002756996,0.0001739107,0.0005105642,0.0005893646,0.0007940665,0.003270214],"category_scores_gemma":[0.01579764,0.0001529084,0.0003361877,0.0001644273,0.0004793237,0.0004543707,0.0004675197,0.0006370191,0.0004228177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580583,"about_ca_system_score_gemma":0.0009638113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151547,"about_ca_topic_score_gemma":0.002109741,"domain_scores_codex":[0.9988601,0.0004516332,0.0001067809,0.0001478897,0.0002890771,0.0001444197],"domain_scores_gemma":[0.9862391,0.008423048,0.002296496,0.0005482701,0.0006373898,0.001855672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.07093687,0.08438016,0.1366284,0.00284155,0.0004749447,0.0002235462,0.004044014,0.001729764,0.04740062,0.00016036,0.00187445,0.6493054],"study_design_scores_gemma":[0.01220454,0.2621344,0.6637842,0.0006619763,0.001118993,0.0004186923,0.001565959,0.004885171,0.04831979,0.0005433362,0.004218041,0.0001448493],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993775,0.0001216114,0.0001180707,0.00009932611,0.00001369357,0.00005511485,0.00001642802,0.00001227127,0.0001859534],"genre_scores_gemma":[0.9973938,0.000239078,0.001831111,0.00006540101,0.00002399889,0.00008941568,0.0000556079,0.000003142924,0.0002984895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003270214,"threshold_uncertainty_score":0.01093996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007607194685092862,"score_gpt":0.3264679375921091,"score_spread":0.3188607429070163,"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."}}