{"id":"W6901554603","doi":"10.6068/dp14ba8aa68b349","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: Total population for the variable contact with medical doctors, Urban, Both sexes | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-114.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Census; Social statistics; Socioeconomic status; Population; Economic statistics; Health statistics; Population statistics; Community health","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":[0.002780934,0.002489209,0.002904704,0.007297729,0.003764559,0.004689523,0.005499454,0.0017995,0.1445257],"category_scores_gemma":[0.02544492,0.001952828,0.00229333,0.04303456,0.000696861,0.00256878,0.002570657,0.003425133,0.08614759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05046461,"about_ca_system_score_gemma":0.1245911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930573,"about_ca_topic_score_gemma":0.9907099,"domain_scores_codex":[0.9952917,0.0003700375,0.0005550644,0.0005718101,0.002221953,0.0009895457],"domain_scores_gemma":[0.9601787,0.002094453,0.0009978742,0.001250819,0.03346167,0.002016461],"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":[0.00001492835,0.000005211844,0.0005156014,0.0002103818,0.00001107243,0.000003982804,0.00001439644,0.00006949987,0.000005189441,0.0001872944,0.9977925,0.001170015],"study_design_scores_gemma":[0.0002267805,0.00001295695,0.02254015,0.001037787,0.00007054988,0.00002369136,0.0004348102,0.0003905385,0.0001250373,0.0007219769,0.9743177,0.00009811419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002560411,0.00003244927,0.00001650685,0.00009936438,0.00002066799,0.00001416073,0.9990382,0.00004405128,0.000708936],"genre_scores_gemma":[0.0005622241,0.0002328162,0.0004033319,0.0001957628,0.00001666783,0.0001634457,0.9950159,0.0001080694,0.003301815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1445257,"threshold_uncertainty_score":0.4834866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335376366110048,"score_gpt":0.2823156120838137,"score_spread":0.2487779754728089,"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."}}