{"id":"W2018878843","doi":"10.2196/medinform.4066","title":"Impact of Information Technology on Information Gaps in Canadian Ambulatory Care Encounters","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"Government of Canada","keywords":"Ambulatory; Medicine; Health information exchange; Ambulatory care; Health care; Family medicine; Medical emergency; Nursing; Health information","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009599396,0.0002004377,0.000356478,0.002757211,0.004160962,0.002978524,0.001238014,0.0008473231,0.004103291],"category_scores_gemma":[0.1262842,0.0002827621,0.0006245018,0.004535421,0.001537282,0.001804125,0.003712293,0.001238888,0.0001574196],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01971887,"about_ca_system_score_gemma":0.04781028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7559255,"about_ca_topic_score_gemma":0.75218,"domain_scores_codex":[0.9750783,0.005333537,0.002303368,0.0008380722,0.01373685,0.002709777],"domain_scores_gemma":[0.8436603,0.08447465,0.03519459,0.004428961,0.02291146,0.009330064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003087021,0.0001867955,0.908007,0.0004590988,0.00010707,0.000535307,0.01516878,0.0004928226,0.0001663645,0.0009029108,0.003927923,0.06973717],"study_design_scores_gemma":[0.00001669366,0.0001278849,0.9774605,0.0006433541,0.00006925515,0.0004281199,0.01427145,0.0008334275,0.0001617679,0.0003052957,0.005647396,0.00003494331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757269,0.002111003,0.0003338349,0.006618921,0.0000408038,0.0001134606,0.001617711,0.00003551619,0.01340193],"genre_scores_gemma":[0.9980592,0.0005842383,0.0003770021,0.0003333577,0.00001479588,0.00001598581,0.0003341688,0.00000573339,0.0002755022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9802811,"threshold_uncertainty_score":0.4910237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333981188678701,"score_gpt":0.4175282051520754,"score_spread":0.3941883932652884,"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."}}