{"id":"W3112442682","doi":"10.21203/rs.2.11753/v1","title":"Electronic Medical Record System Use in Canada: Integrating Physiology Flowsheets","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Business; Computer 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":[0.01333037,0.000251192,0.0002690756,0.002209812,0.002246138,0.003586185,0.002231509,0.0008314934,0.004044753],"category_scores_gemma":[0.05442493,0.000436203,0.0004193978,0.004461184,0.001030017,0.002082097,0.002517975,0.0009951413,0.0006768478],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0406827,"about_ca_system_score_gemma":0.07077141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8828336,"about_ca_topic_score_gemma":0.9020075,"domain_scores_codex":[0.985287,0.003491555,0.002223765,0.0009427688,0.006685369,0.001369672],"domain_scores_gemma":[0.9224228,0.02181552,0.005611079,0.002626839,0.04019118,0.007332499],"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":[0.00073547,0.001669429,0.4645713,0.001725651,0.00009264341,0.0008107577,0.0196738,0.001455858,0.004923461,0.001206274,0.02635747,0.4767779],"study_design_scores_gemma":[0.0001285819,0.001184516,0.9130316,0.0009451055,0.00007463908,0.0003947963,0.01629482,0.004183433,0.002789349,0.0001497833,0.0606673,0.0001561487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9498919,0.001469474,0.00289533,0.01659016,0.00018388,0.002189338,0.005111381,0.001013855,0.02065464],"genre_scores_gemma":[0.9667026,0.002385179,0.01526534,0.003333969,0.00008011019,0.0004856657,0.00312753,0.0001475958,0.008472131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9593173,"threshold_uncertainty_score":0.295175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05021452289434246,"score_gpt":0.3801997681283602,"score_spread":0.3299852452340177,"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."}}