{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007250817,0.0006913011,0.001786426,0.0004143674,0.0003478851,0.00001950437,0.001808556,0.0004708295,0.006272691],"category_scores_gemma":[0.0001294187,0.0006232731,0.00002384211,0.0003162738,0.00008054432,0.00008284508,0.0009285216,0.002106135,0.0004196094],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637459,"about_ca_system_score_gemma":0.03851181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875425,"about_ca_topic_score_gemma":0.999743,"domain_scores_codex":[0.9936094,0.0009682861,0.001763054,0.001126933,0.0008971226,0.001635167],"domain_scores_gemma":[0.9942885,0.001046706,0.00167605,0.002222768,0.0001592792,0.0006066984],"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":[0.0000283665,0.00005909657,0.0163936,0.005683841,0.00004516338,0.00003658327,0.0002308544,0.000002012489,1.20395e-7,0.001334947,0.9544764,0.02170908],"study_design_scores_gemma":[0.0008332393,0.00007213385,0.008674404,0.00271713,0.0000307061,0.000001255126,0.0010311,0.0003322795,2.124516e-8,0.000523202,0.9852477,0.0005368838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002301488,0.02064725,0.008130293,0.01205236,0.006561636,0.004785705,0.7432362,0.0007538484,0.2036025],"genre_scores_gemma":[0.0007490219,0.05219969,0.08225039,0.1017486,0.002821297,0.0001877987,0.2588319,0.001944392,0.499267],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4844044,"threshold_uncertainty_score":0.9996219,"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."}}