{"id":"W6920205342","doi":"10.6068/dp14ba89e7b0624","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Total population for the variable exposure to second-hand smoke, Both sexes, Non-Aboriginal | Units: , 2000. 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; Population statistics; Socioeconomic status; Social statistics; Economic statistics; Distribution (mathematics)","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":[0.002797943,0.002231688,0.002697418,0.007201802,0.003774727,0.004533066,0.005410055,0.00160024,0.1206577],"category_scores_gemma":[0.02210272,0.001849134,0.00206282,0.04393459,0.0007378612,0.002461381,0.002378152,0.003233076,0.07526721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05367199,"about_ca_system_score_gemma":0.1396883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938735,"about_ca_topic_score_gemma":0.9911733,"domain_scores_codex":[0.9953432,0.0003396065,0.0005447908,0.000555596,0.002283626,0.000933248],"domain_scores_gemma":[0.9629889,0.001633543,0.0009415953,0.001252394,0.03142153,0.001762134],"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":[0.00001681917,0.000005863877,0.0005757835,0.0002129201,0.00001261752,0.000004834726,0.00002011678,0.00007037441,0.000006996604,0.000240498,0.9974922,0.001341118],"study_design_scores_gemma":[0.0001778495,0.00001187822,0.02131832,0.000862034,0.00006430208,0.00002342419,0.0004503101,0.000311552,0.0001380844,0.0006538787,0.975902,0.00008633355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000350247,0.00003925188,0.0000207851,0.0001064105,0.00002761944,0.00001687995,0.9987701,0.00005259655,0.000931264],"genre_scores_gemma":[0.0006479721,0.0002720867,0.000500176,0.0001922346,0.00001859874,0.0001704479,0.9936242,0.0001240975,0.004450089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1206577,"threshold_uncertainty_score":0.4036402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000434565833731,"score_gpt":0.289506026072878,"score_spread":0.2595016804145406,"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."}}