{"id":"W4361270417","doi":"10.1002/aet2.10851","title":"Developing and authenticating an electronic health record–based report card for assessing residents' clinical performance","year":2023,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Report card; Medical education; Citizen journalism; Health literacy; Data collection; Medicine; Participatory action research; Health records; Computer science; Psychology; World Wide Web; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.08008215,0.0006730183,0.0003360395,0.001421083,0.001771342,0.004948446,0.001929622,0.001783791,0.003469381],"category_scores_gemma":[0.1631482,0.0005535906,0.0006661298,0.0007041456,0.002302126,0.004244438,0.005290648,0.001925356,0.001799589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952951,"about_ca_system_score_gemma":0.007411403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304428,"about_ca_topic_score_gemma":0.001803422,"domain_scores_codex":[0.933044,0.04997105,0.005536979,0.002176223,0.007899519,0.001372289],"domain_scores_gemma":[0.8770326,0.05397647,0.01237491,0.01613047,0.03692749,0.003558026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007609994,0.001582242,0.05588079,0.002016971,0.00006110474,0.0008645561,0.1825169,0.001543228,0.02490408,0.007484717,0.01758446,0.7048],"study_design_scores_gemma":[0.0007358574,0.01268618,0.09894807,0.007981976,0.0003322672,0.006681305,0.2984006,0.02664907,0.1088763,0.01251215,0.4249753,0.001220962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.628511,0.0004303617,0.3221347,0.005934869,0.0006877776,0.01349371,0.000697728,0.001500714,0.02660912],"genre_scores_gemma":[0.4376974,0.0004191956,0.5504377,0.0009270281,0.00008410838,0.006058233,0.0004214063,0.0001412854,0.003813586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08008215,"threshold_uncertainty_score":0.42352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342070953419547,"score_gpt":0.4987240920317995,"score_spread":0.3645169966898447,"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."}}