{"id":"W6920588273","doi":"10.6068/dp14ba8b9fcfd20","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Languages | Country: Canada | Table: Health indicator profile, by linguistic characteristic (mother tongue, first official language spoken) | Variable: Body mass index, self-reported, adult (18 years and over), overweight or obese, Mother tongue, French, Females | Units: %, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-148.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Census; Economic statistics; Population; Socioeconomic status; Population statistics; First language; Social 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":[0.002537311,0.002540541,0.003040235,0.008032629,0.003704151,0.0053647,0.00557142,0.001699942,0.1180529],"category_scores_gemma":[0.02581177,0.001799359,0.002338385,0.04517699,0.0007608214,0.002625116,0.002737667,0.003250427,0.0675047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05916188,"about_ca_system_score_gemma":0.1538307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947616,"about_ca_topic_score_gemma":0.9932299,"domain_scores_codex":[0.9950428,0.0003554502,0.0006427836,0.0006301254,0.002253864,0.00107495],"domain_scores_gemma":[0.9556635,0.002261916,0.001142346,0.001307537,0.03748856,0.002136177],"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":[0.00002288498,0.000006693816,0.0007717022,0.0002949584,0.00001815065,0.000005329192,0.00002059455,0.00009031793,0.000008089614,0.0002402211,0.9971577,0.001363406],"study_design_scores_gemma":[0.0002289489,0.00001383541,0.02327887,0.001217001,0.00009269562,0.0000280087,0.0005198905,0.0004367898,0.0001693728,0.000675114,0.9732261,0.000113416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003521652,0.00004218669,0.00001510665,0.00009716224,0.00002058762,0.0000126307,0.9990256,0.00005104021,0.0007003949],"genre_scores_gemma":[0.0007063733,0.0002996894,0.0003777302,0.0001931872,0.00001683309,0.000145167,0.9946364,0.0001186821,0.003505963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1180529,"threshold_uncertainty_score":0.4292516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200514710062844,"score_gpt":0.2653112645173206,"score_spread":0.2452597935110362,"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."}}