{"id":"W6920268879","doi":"10.6068/dp14ba8d8c92877","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | 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, Males | Units: , 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","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; Population; Official statistics; Rural area; Socioeconomic status; Population statistics; American Community Survey; Social 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":[0.002895842,0.002459019,0.002750395,0.008071316,0.004196067,0.004838322,0.00548669,0.001519636,0.1266378],"category_scores_gemma":[0.02301844,0.00182376,0.002129922,0.04835539,0.0007174736,0.002491577,0.002347049,0.003225016,0.07119074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06611054,"about_ca_system_score_gemma":0.1660555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956709,"about_ca_topic_score_gemma":0.9934797,"domain_scores_codex":[0.9947464,0.0003824761,0.0005991146,0.0005933722,0.002547852,0.001130821],"domain_scores_gemma":[0.9548227,0.001772873,0.001040877,0.001219384,0.0390161,0.00212809],"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":[0.000017511,0.000006087614,0.0006728707,0.0001940395,0.00001189143,0.000005397443,0.00001926823,0.00007170319,0.000006887403,0.0002557108,0.9971395,0.001599236],"study_design_scores_gemma":[0.0001502334,0.00001183976,0.02445922,0.0008563923,0.00006268259,0.00002544601,0.0004898674,0.0003538933,0.0001339422,0.0006425874,0.9727284,0.00008558334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004689805,0.00005568252,0.0000264373,0.0001447643,0.00003040522,0.00002017691,0.998358,0.00005955971,0.001258169],"genre_scores_gemma":[0.000976481,0.0004240724,0.0006901815,0.0002764803,0.00002400638,0.0002087337,0.9906107,0.0001659619,0.006623434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1266378,"threshold_uncertainty_score":0.4796678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685834764685733,"score_gpt":0.2723337067129094,"score_spread":0.225475359066052,"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."}}