{"id":"W6901341000","doi":"10.6068/dp14ba855b83e97","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: No exposure to second-hand smoke at home, Total, urban-rural status, 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":"Official statistics; Census; Population; Socioeconomic status; Rural area; Population statistics; Demographic statistics; American Community Survey; Health 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":[0.002916389,0.002478954,0.002825734,0.007891708,0.004104125,0.004931794,0.005699759,0.001628329,0.1228176],"category_scores_gemma":[0.02347674,0.001858597,0.002231117,0.04664864,0.0007564001,0.002500876,0.002414079,0.003289871,0.0682331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06459866,"about_ca_system_score_gemma":0.1619379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956019,"about_ca_topic_score_gemma":0.9931707,"domain_scores_codex":[0.994889,0.0003638405,0.0006011431,0.0005905707,0.002441725,0.001113725],"domain_scores_gemma":[0.9560685,0.001809053,0.001068534,0.001283356,0.03767252,0.002098067],"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":[0.00002076274,0.000006614454,0.0006956197,0.000214087,0.00001331792,0.000005868829,0.00001929677,0.00007894621,0.000007599336,0.0002549912,0.9970948,0.001588197],"study_design_scores_gemma":[0.0001727221,0.00001306199,0.02401266,0.0009409055,0.00006887863,0.00002674718,0.0004800703,0.0003707351,0.0001481387,0.0006617588,0.9730098,0.00009455191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004202471,0.00005151604,0.00002201634,0.0001304092,0.00002937283,0.00001747146,0.9986084,0.00005488332,0.001043902],"genre_scores_gemma":[0.0009173903,0.0003957657,0.0006133192,0.0002544575,0.00002231983,0.0001862434,0.9918529,0.0001509818,0.005606682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1228176,"threshold_uncertainty_score":0.4686983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349897993147778,"score_gpt":0.2564077097647502,"score_spread":0.2214179104499724,"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."}}