{"id":"W6938861372","doi":"10.6068/dp14ba827443772","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Health - Environmental Factors | Country: Canada | Table: Exposure to second-hand smoke at home, by age group and sex, non-smoking household population aged 12 and over | Variable: 65 to 74 years, Total non-smoking population, Males | Units: # Persons, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-111.","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; Official statistics; Economic statistics; Summary statistics; Health statistics; Socioeconomic status; Population; 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":[0.00267159,0.00244768,0.002877141,0.006819438,0.003430848,0.004384988,0.00568235,0.001687523,0.1124836],"category_scores_gemma":[0.02180008,0.001878629,0.002606029,0.040225,0.0007143697,0.002233982,0.002188835,0.003254868,0.06073765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05683605,"about_ca_system_score_gemma":0.1378681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948716,"about_ca_topic_score_gemma":0.9924343,"domain_scores_codex":[0.995551,0.0003281158,0.0005262281,0.0005187637,0.002079151,0.0009967616],"domain_scores_gemma":[0.9598026,0.001784125,0.001051272,0.001122014,0.03435294,0.001886986],"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":[0.00002422405,0.000007514903,0.0008559414,0.0002689026,0.00001780888,0.000005776203,0.00001700731,0.0001025205,0.000007746186,0.000236198,0.9970401,0.001416278],"study_design_scores_gemma":[0.0002556589,0.00001532773,0.02721816,0.00109997,0.00009207083,0.0000276054,0.0004336666,0.0004589206,0.0001767688,0.00071769,0.969399,0.0001051205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003439251,0.00003880419,0.00001814469,0.0001076037,0.00002272415,0.00001430339,0.999024,0.00004437909,0.0006956216],"genre_scores_gemma":[0.0008153185,0.0002983845,0.0005037229,0.0002181315,0.00001892402,0.0001621035,0.9941765,0.0001139747,0.003692938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1124836,"threshold_uncertainty_score":0.4123763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506448277760346,"score_gpt":0.2355700048286239,"score_spread":0.2105055220510204,"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."}}