{"id":"W6920442424","doi":"10.6068/dp14ba849a2a238","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Obese, body mass index 30.0 or higher (18 years and over), Urban, Males | Units: , 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","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; Demographic statistics; Rural area; Population statistics; American Community Survey; 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":[0.002824104,0.002499078,0.002855764,0.007824457,0.004224176,0.004961659,0.005611015,0.001616043,0.1308557],"category_scores_gemma":[0.0240411,0.001877117,0.002158698,0.04668813,0.0007532566,0.002531454,0.002389088,0.003309084,0.07475797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0635718,"about_ca_system_score_gemma":0.1651223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957554,"about_ca_topic_score_gemma":0.9933444,"domain_scores_codex":[0.9950066,0.0003639662,0.0005832794,0.0005844838,0.002372924,0.001088879],"domain_scores_gemma":[0.9564973,0.001806753,0.001006314,0.001221949,0.03736676,0.002100998],"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":[0.00001713663,0.000005682101,0.0006159267,0.000191608,0.00001169345,0.000005152715,0.0000176045,0.00007171026,0.000006282356,0.0002384861,0.9974004,0.001418423],"study_design_scores_gemma":[0.0001753738,0.00001176988,0.02184164,0.0009203078,0.00006576845,0.00002565351,0.0004605879,0.0003611159,0.000129337,0.0006729758,0.9752447,0.00009072394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003941078,0.00005140307,0.00002307282,0.0001357172,0.0000289222,0.00001797309,0.998519,0.00005796293,0.001126462],"genre_scores_gemma":[0.0008954256,0.0003941107,0.0006164546,0.0002721259,0.00002263363,0.0001943102,0.9919285,0.000163693,0.005512836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1308557,"threshold_uncertainty_score":0.4612479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174964130404882,"score_gpt":0.270925603596393,"score_spread":0.2291759622923442,"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."}}