{"id":"W6957820849","doi":"10.6068/dp14ba8a171b946","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, Mother tongue, English, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00240492,0.002519059,0.003011686,0.007763672,0.003571905,0.005322767,0.005606585,0.001730414,0.1163174],"category_scores_gemma":[0.02525845,0.001776696,0.002286639,0.04450324,0.000767477,0.002625583,0.002765366,0.003292832,0.06894898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05496861,"about_ca_system_score_gemma":0.1411537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939641,"about_ca_topic_score_gemma":0.9924556,"domain_scores_codex":[0.9953317,0.0003376643,0.0006152711,0.0006245676,0.00208074,0.001010161],"domain_scores_gemma":[0.9585529,0.002189599,0.001108511,0.001304097,0.03479866,0.002046263],"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":[0.00002236945,0.000006449544,0.0007288805,0.000295158,0.00001790621,0.000005100102,0.00001910086,0.00008718559,0.000008040669,0.0002226708,0.9973246,0.001262514],"study_design_scores_gemma":[0.0002380815,0.00001313614,0.02195851,0.001212491,0.00009113008,0.00002728112,0.0004812528,0.0004317008,0.0001685948,0.0006836406,0.9745833,0.0001108561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003138051,0.00003905483,0.00001369131,0.00008700414,0.00001895275,0.0000110101,0.9991518,0.00004827353,0.0005987896],"genre_scores_gemma":[0.0006154196,0.0002628216,0.0003314173,0.0001759473,0.00001513169,0.0001299413,0.9954495,0.0001068364,0.002912994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8836826,"threshold_uncertainty_score":0.3988271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419758247829343,"score_gpt":0.2532730793403756,"score_spread":0.2390754968620822,"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."}}