{"id":"W6938788319","doi":"10.6068/dp14ba8894f2241","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, class III, body mass index 40.0 or higher (18 years and over), Rural fringe, 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; Socioeconomic status; Population; Rural area; Demographic statistics; Population statistics; Social statistics; Index (typography)","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":[0.002812458,0.002516296,0.002819719,0.007784889,0.004217138,0.004991656,0.005549496,0.001640108,0.1332416],"category_scores_gemma":[0.02375477,0.001901516,0.002098553,0.04694144,0.0007504455,0.00252619,0.002405541,0.003333569,0.07595724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06408476,"about_ca_system_score_gemma":0.1640241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958621,"about_ca_topic_score_gemma":0.9935999,"domain_scores_codex":[0.9949763,0.0003682488,0.0005987629,0.0005914407,0.00237207,0.001093205],"domain_scores_gemma":[0.9565029,0.001841234,0.001038588,0.00120103,0.03723704,0.002179117],"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":[0.00001738594,0.000005478659,0.0005685004,0.0001876357,0.00001102183,0.000004940139,0.00001713593,0.00006513863,0.00000608052,0.0002217971,0.9975402,0.001354663],"study_design_scores_gemma":[0.0001803705,0.00001245737,0.02322307,0.0009195488,0.00006542206,0.00002623523,0.0004804184,0.0003471031,0.0001287981,0.0006419867,0.973882,0.00009244539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003965957,0.00005109435,0.00002220423,0.0001383859,0.00002902398,0.00001749031,0.9985128,0.00005600603,0.001133354],"genre_scores_gemma":[0.0008598112,0.0003876188,0.0005729478,0.0002768328,0.00002210713,0.0001856696,0.9917182,0.0001553229,0.005821537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1332416,"threshold_uncertainty_score":0.4649696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063877905275234,"score_gpt":0.2710177844094306,"score_spread":0.2303790053566783,"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."}}