{"id":"W6920234458","doi":"10.6068/dp14ba8cb678c62","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Health indicator profile, by Aboriginal identity and sex, age-standardized rate, four year estimates | Variable: Total population, Exposure to second-hand smoke in the past month, in vehicles and/or public places, Both sexes | Units: , 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","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; Population; Economic statistics; Population statistics; Socioeconomic status; Social statistics; Summary 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":[0.002790771,0.002240018,0.002669849,0.006756478,0.003641877,0.004342157,0.005321478,0.001604406,0.1186772],"category_scores_gemma":[0.02199253,0.001795993,0.002311502,0.03921545,0.0007330697,0.002309211,0.002418921,0.003174472,0.06598454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05696457,"about_ca_system_score_gemma":0.1562453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947506,"about_ca_topic_score_gemma":0.99217,"domain_scores_codex":[0.9951347,0.0003468448,0.0006180799,0.0005343014,0.002353534,0.001012662],"domain_scores_gemma":[0.9568152,0.001690543,0.001072838,0.001211461,0.03730182,0.001908148],"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":[0.0000242626,0.00000718125,0.00074901,0.0002934239,0.00001692979,0.000005854652,0.00002456068,0.00008567642,0.000009879674,0.000244955,0.9969786,0.001559641],"study_design_scores_gemma":[0.0002148165,0.00001632829,0.02667615,0.001132588,0.00009032,0.0000288183,0.0005440939,0.0003904405,0.0001840103,0.0006485537,0.969964,0.0001097962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004528452,0.00004521184,0.00002118158,0.0001218289,0.00002873352,0.00001893789,0.9987381,0.00005579165,0.0009248455],"genre_scores_gemma":[0.0008478573,0.0003510501,0.0005674945,0.000235639,0.00002150464,0.00019681,0.9924546,0.0001412724,0.005183564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1186772,"threshold_uncertainty_score":0.4133087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662781488687657,"score_gpt":0.2821972556571375,"score_spread":0.255569440770261,"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."}}