{"id":"W6920313604","doi":"10.6068/dp14ba8b731ba20","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Health - Disability | Country: Canada | Table: Health indicator profile, by Aboriginal identity and sex, age-standardized rate, four year estimates | Variable: Non-Aboriginal identity population, Exposure to second-hand smoke in the past month, in vehicles, Both sexes | Units: , 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-109.","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; Health indicator; Health statistics; Economic statistics; Socioeconomic status; Identity (music); Official 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":[0.002765598,0.002466247,0.002932064,0.006915307,0.003367862,0.004775057,0.005862578,0.001828617,0.1276715],"category_scores_gemma":[0.0235596,0.001943347,0.002451205,0.03963002,0.0007374925,0.00253898,0.002526287,0.003369982,0.0732423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05630407,"about_ca_system_score_gemma":0.1380584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936146,"about_ca_topic_score_gemma":0.9905413,"domain_scores_codex":[0.9950762,0.0003610471,0.0006046396,0.0005619831,0.002333435,0.001062725],"domain_scores_gemma":[0.9554031,0.002053573,0.00117417,0.001274154,0.03795381,0.002141295],"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":[0.00002120016,0.00000692303,0.0006694567,0.000258494,0.00001530053,0.000004756047,0.00001575436,0.0000944495,0.000007462757,0.0002041431,0.997463,0.001239105],"study_design_scores_gemma":[0.000255484,0.00001539727,0.02385764,0.001153229,0.00008103928,0.00002669058,0.0004488547,0.0004595281,0.0001668505,0.0006657002,0.9727628,0.0001068356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003105881,0.00003234491,0.00001507134,0.00009980822,0.00001979142,0.00001356371,0.9990718,0.00004610714,0.0006702433],"genre_scores_gemma":[0.0006312189,0.0002407645,0.0003914853,0.0001896728,0.00001675496,0.0001452918,0.9948915,0.0001103345,0.003382931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1276715,"threshold_uncertainty_score":0.4271036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701604890574689,"score_gpt":0.3026613609703808,"score_spread":0.2756453120646339,"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."}}