{"id":"W6920445944","doi":"10.6068/dp14ba8be5d2584","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, Total, mother tongue, Both sexes | 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":[0.002504015,0.002495372,0.002948341,0.007746104,0.003600716,0.005293271,0.00555522,0.001646745,0.1197575],"category_scores_gemma":[0.02555667,0.001797107,0.00224666,0.04396806,0.0007422094,0.002607245,0.002686614,0.003256592,0.06789802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05758148,"about_ca_system_score_gemma":0.1506488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994455,"about_ca_topic_score_gemma":0.993019,"domain_scores_codex":[0.9952083,0.0003408316,0.0006176569,0.0006092419,0.002201871,0.001022047],"domain_scores_gemma":[0.9570153,0.00220588,0.001108102,0.001266045,0.03630304,0.002101642],"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":[0.00002165345,0.000006434441,0.0007414745,0.0002841713,0.00001663072,0.000005117719,0.00001989866,0.00008712298,0.000007832712,0.0002424622,0.9972044,0.001362834],"study_design_scores_gemma":[0.000221164,0.0000129103,0.02206377,0.001165795,0.00008507463,0.00002708568,0.0005010154,0.0004278948,0.0001661757,0.0006695596,0.9745516,0.0001080089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000034731,0.00004100117,0.00001573063,0.00009835518,0.00002106417,0.00001306685,0.9989674,0.00005144391,0.0007571994],"genre_scores_gemma":[0.0007001347,0.0003056644,0.0003944119,0.0001988241,0.00001676569,0.0001489905,0.9944751,0.0001218749,0.003638323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1197575,"threshold_uncertainty_score":0.4177848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598640016698026,"score_gpt":0.2601800297561082,"score_spread":0.2441936295891279,"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."}}