{"id":"W6920212146","doi":"10.6068/dp14ba892aa5453","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), obese, Total, mother tongue, 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":[0.002470184,0.002505443,0.003010592,0.007593821,0.003538493,0.005327236,0.005580076,0.001716592,0.1187292],"category_scores_gemma":[0.0255307,0.001812183,0.002265273,0.04409364,0.0007609135,0.002629746,0.002736162,0.003301914,0.07021762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05482174,"about_ca_system_score_gemma":0.1407391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936786,"about_ca_topic_score_gemma":0.992082,"domain_scores_codex":[0.995274,0.0003446935,0.0006252447,0.0006302844,0.002098828,0.001026943],"domain_scores_gemma":[0.9573067,0.002267404,0.001141806,0.001361407,0.03582472,0.002097929],"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":[0.00002276231,0.000006530138,0.0007257616,0.0002830586,0.00001749061,0.000005157475,0.00001864307,0.00008723773,0.000008197474,0.0002187302,0.9973645,0.001241937],"study_design_scores_gemma":[0.000248002,0.00001355416,0.02236168,0.001198491,0.00008925329,0.00002752331,0.0004830618,0.0004403106,0.0001747115,0.0006872165,0.9741629,0.0001133241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000308563,0.00003508317,0.00001378799,0.00008639761,0.00001885533,0.00001109287,0.9991618,0.00004898636,0.0005931674],"genre_scores_gemma":[0.0006071794,0.0002493533,0.0003428307,0.0001779461,0.00001514453,0.0001334805,0.9954164,0.0001115431,0.002946163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1187292,"threshold_uncertainty_score":0.3977615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197135080574282,"score_gpt":0.2658506789946995,"score_spread":0.2461371709372713,"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."}}