{"id":"W2043181152","doi":"10.1007/s10459-014-9576-7","title":"Does medical students’ diagnostic performance improve by observing examples of self-explanation provided by peers or experts?","year":2014,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Set (abstract data type); Task (project management); Active listening; Control (management); Medical education; Peer group; Psychology; Significant difference; Mathematics education; Overtime; Computer science; Medicine; Social psychology; Artificial intelligence","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":[0.002419732,0.000133505,0.0003386518,0.000107025,0.0001438827,0.00003047633,0.0003644348,0.00007854732,0.00006477805],"category_scores_gemma":[0.05508151,0.00007881655,0.00002744668,0.0004507422,0.000203988,0.0003996346,0.00004639601,0.0001406641,0.000003044717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594839,"about_ca_system_score_gemma":0.001097559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009650757,"about_ca_topic_score_gemma":0.0001906711,"domain_scores_codex":[0.9971694,0.0001343982,0.0007484462,0.0004325165,0.001170959,0.0003442562],"domain_scores_gemma":[0.9863911,0.01252913,0.0004180604,0.0002233133,0.0001272237,0.0003111616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004502515,0.0009772347,0.8218505,0.0005032609,0.000003879199,2.594254e-7,0.001296589,0.00002713842,0.00004557251,0.0001298834,0.003257823,0.1718628],"study_design_scores_gemma":[0.009142572,0.01429085,0.7315019,0.0378831,0.0001176151,0.00004628772,0.02530174,0.02850174,0.007013841,0.00193833,0.1427319,0.001530149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882927,0.003251851,0.0002510711,0.005828097,0.001479509,0.0006484699,0.000005230978,0.00004461159,0.0001984877],"genre_scores_gemma":[0.9816669,0.01310698,0.002330239,0.002324455,0.0001652783,0.0001718226,0.0000501383,0.000008834808,0.0001753766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703327,"threshold_uncertainty_score":0.9528779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638464066975847,"score_gpt":0.3966137484583112,"score_spread":0.3802291077885527,"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."}}