{"id":"W1482420357","doi":"10.1002/9781118445112.stat05321","title":"Health Services Data Sources in Canada","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Health information; Business; Corporation; HRHIS; Information system; Principal (computer security); Health policy; Public health; Medicine; Environmental health; Health care; Political science; Finance; Nursing; Computer science; Computer security","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":[0.005042832,0.001224779,0.001231069,0.0391153,0.005422744,0.007222824,0.003671195,0.001007202,0.04952387],"category_scores_gemma":[0.04366001,0.0008743139,0.001187679,0.1171661,0.0009308388,0.001657933,0.00366382,0.0014255,0.01202204],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09266652,"about_ca_system_score_gemma":0.2645284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946716,"about_ca_topic_score_gemma":0.9907452,"domain_scores_codex":[0.9841214,0.0010027,0.002376795,0.001374411,0.009128769,0.001995849],"domain_scores_gemma":[0.9345947,0.00666937,0.003819613,0.002766928,0.04832571,0.003823666],"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":[0.0001103263,0.00002729672,0.01689819,0.00221978,0.0001510972,0.000132609,0.0006167129,0.0007673729,0.00007046079,0.01016711,0.9228305,0.04600849],"study_design_scores_gemma":[0.00007452531,0.000009433321,0.07169139,0.002101193,0.00009833309,0.00006775197,0.000905826,0.0009056774,0.0002400186,0.001572187,0.9222295,0.0001040359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001554408,0.001487085,0.0003588623,0.001340651,0.000126725,0.0002571403,0.9527642,0.0003433866,0.04176745],"genre_scores_gemma":[0.02934478,0.005445171,0.00383489,0.001304361,0.0001127405,0.0008042139,0.9386657,0.0003017891,0.02018634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9073335,"threshold_uncertainty_score":0.6723458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08401032661171526,"score_gpt":0.4293262724321257,"score_spread":0.3453159458204104,"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."}}