{"id":"W4283024262","doi":"10.1017/cjn.2022.70","title":"prepOSCE: A Virtual, Scalable Solution to Prepare Residents for Their OSCE Examination","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Alberta Children's Hospital; University of Calgary; Communications Research Centre Canada","funders":"","keywords":"Certification; Session (web analytics); Objective structured clinical examination; Medical education; Medicine; Psychology; Family medicine; Computer science; Management; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002445288,0.0008251187,0.0002742159,0.000758934,0.0005445646,0.001069249,0.00234308,0.0005994582,0.0181673],"category_scores_gemma":[0.005589888,0.000479835,0.0006566209,0.0002959633,0.0003832487,0.001245171,0.004575374,0.0009207394,0.003807989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625231,"about_ca_system_score_gemma":0.001832485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150812,"about_ca_topic_score_gemma":0.003744051,"domain_scores_codex":[0.9986978,0.0004871064,0.00006045149,0.0001731645,0.0003293941,0.0002519915],"domain_scores_gemma":[0.9958572,0.0008608312,0.0002943086,0.0005068369,0.000444623,0.002036206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002377835,0.006322258,0.0133461,0.000608539,0.000144053,0.0007516152,0.001476872,0.008209497,0.02059023,0.001419957,0.123963,0.8207902],"study_design_scores_gemma":[0.005805985,0.02978708,0.1101498,0.0008368335,0.0006351558,0.006053856,0.00403308,0.206827,0.04397644,0.007153439,0.5836442,0.001097177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.4609395,0.0008055187,0.4248297,0.003661695,0.001542851,0.007929865,0.003219888,0.06278485,0.0342861],"genre_scores_gemma":[0.5619848,0.0005350576,0.4116947,0.001325655,0.000489994,0.004068708,0.004093461,0.001574265,0.01423325],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0181673,"threshold_uncertainty_score":0.06077564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198708060548618,"score_gpt":0.3165753139485096,"score_spread":0.2745882333430235,"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."}}