{"id":"W4398413654","doi":"10.7910/dvn/ifmdcc","title":"Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Medical Council of Canada; University of Ottawa","funders":"","keywords":"Medical education; Descriptive research; Medical record; Descriptive statistics; Objective structured clinical examination; Health records; Communication skills; Psychology; Medicine; Health care; Statistics; Mathematics; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006254256,0.0003780048,0.0007297311,0.002114128,0.00435577,0.00253236,0.001777557,0.001019424,0.002160675],"category_scores_gemma":[0.02758468,0.0006624678,0.0006330877,0.00444702,0.001378508,0.001057495,0.002299774,0.00175279,0.0005067427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04362022,"about_ca_system_score_gemma":0.07096089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.96728,"about_ca_topic_score_gemma":0.9826235,"domain_scores_codex":[0.9940535,0.001248188,0.0006484261,0.000677053,0.002063642,0.001309095],"domain_scores_gemma":[0.9703288,0.007733977,0.003370784,0.0009518472,0.01326183,0.004352697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004215959,0.00104207,0.8920018,0.0003686091,0.00009133081,0.0004683892,0.05838942,0.0002734506,0.000422802,0.000329491,0.01221903,0.03397192],"study_design_scores_gemma":[0.00005306637,0.000332025,0.9350534,0.0004256805,0.00006132328,0.0001616276,0.04615977,0.0008569601,0.0004201731,0.00004392573,0.0163164,0.0001155867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9832004,0.0003934932,0.0002156835,0.0008163599,0.00002436313,0.0004006679,0.01232263,0.00003451851,0.002591902],"genre_scores_gemma":[0.9810322,0.0009503987,0.001432713,0.0008975255,0.0000197185,0.0004847713,0.01131173,0.00004648621,0.003824424],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04362022,"threshold_uncertainty_score":0.3164883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453320711260022,"score_gpt":0.4193387959518508,"score_spread":0.3848055888392506,"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."}}