{"id":"W6939192307","doi":"10.6068/dp14ba80f310681","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Regular medical doctor, by age group and sex, household population aged 12 and over, Canadian Community Health Survey (CCHS 3.1, January to June 2005) | Variable: 12 to 19 years, Reason not specified, Males | Units: , 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Health care; Health statistics; Medical statistics; Official statistics; Population; Socioeconomic status; Population statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002906815,0.002416254,0.002819036,0.007515872,0.003620505,0.004934954,0.005522578,0.001690756,0.107985],"category_scores_gemma":[0.02579993,0.001697233,0.002330128,0.04120718,0.0007109616,0.002170329,0.002206726,0.003202551,0.05492325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05968852,"about_ca_system_score_gemma":0.1425007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945387,"about_ca_topic_score_gemma":0.992798,"domain_scores_codex":[0.9949267,0.0003892446,0.0006422004,0.0005926917,0.002335754,0.001113358],"domain_scores_gemma":[0.955731,0.002246627,0.001319646,0.001254755,0.03722951,0.002218396],"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":[0.00001896103,0.000006441588,0.0007139554,0.0002279747,0.00001557791,0.000004478366,0.00001763297,0.00008545278,0.00000519509,0.0002166958,0.9975973,0.001090349],"study_design_scores_gemma":[0.0002376511,0.00001549859,0.027919,0.001162597,0.00008908382,0.0000257458,0.0005466424,0.0004571857,0.0001441893,0.0006623722,0.9686407,0.00009931577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003733701,0.00003881102,0.00001379052,0.0001161122,0.00002120142,0.0000134164,0.9990647,0.00003656725,0.0006580357],"genre_scores_gemma":[0.0007920382,0.0002416249,0.0003822294,0.0002075398,0.00001945951,0.0001480764,0.9949157,0.0000813437,0.003212047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.107985,"threshold_uncertainty_score":0.4330725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04649833876258358,"score_gpt":0.2808085204418751,"score_spread":0.2343101816792915,"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."}}