{"id":"W2330882997","doi":"10.1016/j.cjca.2011.08.051","title":"N050 Using technology to support technology in critical care","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Webcast; Medicine; Accreditation; The Internet; Educational technology; Active learning (machine learning); Presentation (obstetrics); Distance education; Multimedia; Health care; Pace; Medical education; Computer science; World Wide Web; Pedagogy; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001331827,0.0002651486,0.0001478345,0.0005302497,0.002378223,0.001091709,0.0005755422,0.001484569,0.2504427],"category_scores_gemma":[0.002635399,0.0002176507,0.0002774209,0.0004748572,0.0005518471,0.0007348494,0.001178927,0.0009296294,0.03888578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339151,"about_ca_system_score_gemma":0.007091095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04985264,"about_ca_topic_score_gemma":0.1766223,"domain_scores_codex":[0.9994565,0.0001334658,0.00003487233,0.00003748183,0.0001719176,0.0001657312],"domain_scores_gemma":[0.9979544,0.0003253558,0.00006577738,0.00008561285,0.0007716201,0.0007972795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001315838,0.0005047172,0.008949681,0.0002554189,0.00001464917,0.0008209568,0.0004650125,0.0003133275,0.001652505,0.005144491,0.7647086,0.2158549],"study_design_scores_gemma":[0.0002121403,0.0005043888,0.01730316,0.000335452,0.00001073618,0.0008911106,0.0005781553,0.0006582244,0.001069232,0.001857254,0.9765583,0.00002186431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02342629,0.000651783,0.0008547229,0.01441797,0.003418452,0.0002614575,0.001437005,0.0001578514,0.9553744],"genre_scores_gemma":[0.1562324,0.002328595,0.003534713,0.01028847,0.001221769,0.0004316055,0.001925986,0.0001449157,0.8238915],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2504427,"threshold_uncertainty_score":0.8378143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0950958220711531,"score_gpt":0.421819593044935,"score_spread":0.3267237709737819,"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."}}