{"id":"W2800692633","doi":"10.1503/cmaj.69069","title":"Canada’s future health care system","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Institute for Work & Health; University of Toronto","funders":"","keywords":"Observational study; Data science; Analytics; Point of care; Health care; Computer science; Electronic medical record; Medical record; Electronic health record; Point (geometry); Health records; Medicine; Nursing; Internet privacy; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003592587,0.0007650688,0.0006615001,0.001249142,0.01272044,0.006410354,0.002670956,0.01581193,0.04505078],"category_scores_gemma":[0.01570795,0.0005270992,0.001000037,0.001739291,0.004078932,0.003476103,0.003294235,0.01591469,0.007515168],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06736141,"about_ca_system_score_gemma":0.2742632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9265832,"about_ca_topic_score_gemma":0.9820014,"domain_scores_codex":[0.9931096,0.0006136827,0.0003018704,0.0004899947,0.003910349,0.001574443],"domain_scores_gemma":[0.979795,0.001640149,0.0004086603,0.0005137157,0.009045687,0.008596729],"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":[0.000004974339,0.000007897048,0.0005475256,0.00002211728,0.000004302519,0.0001071757,0.00005663389,0.0000331496,0.00002588125,0.005036315,0.985558,0.00859613],"study_design_scores_gemma":[0.00001814781,0.000007730288,0.001752434,0.0002130973,0.00000752568,0.0001038236,0.0002760415,0.0001370002,0.00002961601,0.003141881,0.9942908,0.00002191298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005449115,0.002251268,0.0001580677,0.9437631,0.007222861,0.0000287477,0.001279825,0.00008002709,0.04467119],"genre_scores_gemma":[0.01614716,0.005439305,0.001785374,0.8700918,0.007891385,0.00008704867,0.001756428,0.00009061501,0.09671083],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9326386,"threshold_uncertainty_score":0.4887435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369200033379029,"score_gpt":0.3293267682574161,"score_spread":0.3156347679236258,"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."}}