{"id":"W6901658648","doi":"10.6068/dp14ba8ef719175","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Total population for the variable smoking status, Rural area outside census metropolitan area and census agglomeration, Females | Units: , 2003. 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":"Census; Socioeconomic status; Official statistics; Population; Social statistics; Population statistics; Community health; Economic statistics; Population 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":[0.002880061,0.002487858,0.002988738,0.007137894,0.003706682,0.004604344,0.005816534,0.001648041,0.1359879],"category_scores_gemma":[0.0232648,0.001869781,0.002256962,0.04486295,0.0006855897,0.002383481,0.00241008,0.003215908,0.08202489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05390543,"about_ca_system_score_gemma":0.1264306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935103,"about_ca_topic_score_gemma":0.9910077,"domain_scores_codex":[0.9952009,0.0003991946,0.0005626481,0.0005655199,0.002248068,0.001023635],"domain_scores_gemma":[0.9588007,0.002067093,0.001040395,0.001273122,0.03471989,0.002098765],"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":[0.00001642802,0.00000557161,0.0005683881,0.0001941654,0.00001109656,0.000004216881,0.00001527947,0.00006634891,0.000005519885,0.0001896554,0.9976828,0.00124058],"study_design_scores_gemma":[0.0002087317,0.00001299903,0.02387989,0.0009469175,0.00006741918,0.0000238535,0.0004465096,0.0003799737,0.0001269968,0.000678383,0.9731398,0.00008860663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002968582,0.0000342209,0.00001787245,0.0001020396,0.00001978481,0.00001517877,0.9989657,0.00004580686,0.0007697237],"genre_scores_gemma":[0.000620672,0.0002418083,0.000449926,0.0001959084,0.00001657366,0.0001799942,0.994422,0.0001136244,0.003759531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359879,"threshold_uncertainty_score":0.4549248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674244036321397,"score_gpt":0.2965593013328967,"score_spread":0.2398168609696827,"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."}}