{"id":"W2941833286","doi":"10.3233/978-1-61499-951-5-364","title":"Development of an Interprofessional Educational Electronic Health Record","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of Victoria; Douglas College; University of British Columbia; Interior Health; British Columbia Institute of Technology","funders":"","keywords":"Electronic health record; Interprofessional education; Open source; Medical education; Computer science; Knowledge management; Data science; Medicine; Health care; Political science; Software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02208117,0.0005260417,0.0004706196,0.00239194,0.001734727,0.003947662,0.004015906,0.001521548,0.009113379],"category_scores_gemma":[0.02340077,0.0006247652,0.0007747665,0.001131681,0.000609573,0.005744456,0.004035399,0.002778234,0.003727507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271928,"about_ca_system_score_gemma":0.008977606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753636,"about_ca_topic_score_gemma":0.003638696,"domain_scores_codex":[0.9904301,0.00365122,0.001258148,0.0008141687,0.003264707,0.0005816316],"domain_scores_gemma":[0.9684834,0.006402883,0.001383471,0.00478462,0.01357749,0.005368126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000562006,0.005890057,0.01689809,0.0006138183,0.00008529686,0.000535062,0.002795119,0.002712078,0.03114662,0.006222357,0.01087578,0.9216637],"study_design_scores_gemma":[0.002024561,0.01758941,0.07385053,0.001662057,0.0005323481,0.003090917,0.009744785,0.0727575,0.256044,0.007964118,0.5541036,0.0006361312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.176686,0.0004628368,0.7632772,0.006524478,0.0007091706,0.008866303,0.001371736,0.01430102,0.02780121],"genre_scores_gemma":[0.08284368,0.0002361587,0.9018797,0.0006269235,0.00009331618,0.001054129,0.002089322,0.000515628,0.01066124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02208117,"threshold_uncertainty_score":0.1167778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639950806501106,"score_gpt":0.4768570979568499,"score_spread":0.4204575898918389,"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."}}