{"id":"W6901518161","doi":"10.6068/dp14ba852437d60","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, Females | 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; Population statistics; Rural area; 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":[0.002827071,0.002493681,0.002852222,0.007834326,0.004229326,0.004963559,0.005606348,0.001618407,0.1317864],"category_scores_gemma":[0.02424713,0.001877917,0.002153756,0.04677688,0.000753612,0.002540773,0.002397815,0.003305943,0.07530939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06356505,"about_ca_system_score_gemma":0.1651852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957219,"about_ca_topic_score_gemma":0.9933133,"domain_scores_codex":[0.9949965,0.0003637311,0.0005862246,0.0005848928,0.002378178,0.001090392],"domain_scores_gemma":[0.956094,0.001824722,0.001014617,0.001234148,0.03772029,0.002112179],"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":[0.00001709074,0.000005662621,0.000613275,0.0001907001,0.00001156685,0.000005110759,0.00001753468,0.00007127955,0.000006257982,0.0002370042,0.9974099,0.001414603],"study_design_scores_gemma":[0.0001749602,0.00001171628,0.02174995,0.0009200725,0.00006501995,0.0000254801,0.0004598875,0.0003588148,0.0001289756,0.0006731657,0.9753413,0.0000906901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000391798,0.00005060403,0.00002294127,0.0001350745,0.00002882789,0.00001802371,0.9985213,0.00005785752,0.001126272],"genre_scores_gemma":[0.0008906518,0.0003907743,0.0006144348,0.000271641,0.00002256668,0.0001955881,0.9919377,0.0001639759,0.005512607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1317864,"threshold_uncertainty_score":0.4611989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909419599600439,"score_gpt":0.2771328214552706,"score_spread":0.2280386254592662,"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."}}