{"id":"W6920297008","doi":"10.6068/dp14ba845dad286","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, Current smoker, daily or occasional, 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; Socioeconomic status; Population statistics; Economic statistics; Social statistics; 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":[0.002570944,0.002208144,0.002706354,0.006809938,0.003496947,0.004563708,0.005269453,0.001629687,0.1306241],"category_scores_gemma":[0.02225338,0.001761288,0.002223578,0.04102825,0.0007441073,0.002380934,0.002532197,0.003213524,0.07853661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05375662,"about_ca_system_score_gemma":0.1454763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940301,"about_ca_topic_score_gemma":0.9914222,"domain_scores_codex":[0.9954502,0.0003295281,0.0005581405,0.0005427226,0.002164876,0.0009545895],"domain_scores_gemma":[0.9581489,0.001677427,0.001045772,0.001255636,0.03580835,0.002063892],"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":[0.00002043163,0.000006048866,0.0006178875,0.0002626189,0.00001418241,0.000005095414,0.00002104232,0.00007354501,0.000008456889,0.0002186773,0.9974137,0.001338289],"study_design_scores_gemma":[0.0001946657,0.00001323254,0.02162564,0.001057446,0.00007507802,0.00002627844,0.0004685903,0.0003398024,0.0001474386,0.0006033658,0.9753501,0.00009829078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003687778,0.00004252516,0.00001920039,0.0001106754,0.00002552776,0.00001577178,0.9988199,0.0000563398,0.000873211],"genre_scores_gemma":[0.0007379886,0.0003030779,0.0005070646,0.000221877,0.00002022803,0.0001708133,0.9935209,0.0001430808,0.004374966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1306241,"threshold_uncertainty_score":0.436981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361669577187851,"score_gpt":0.3100669745997138,"score_spread":0.2764502788278352,"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."}}