{"id":"W6957782369","doi":"10.6068/dp14ba8d329a188","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: Total population for the variable diabetes, Urban area outside census metropolitan area and census agglomeration, 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; Rural area; Population statistics; Socioeconomic status; American Community Survey; 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":[0.002852572,0.002512045,0.00285471,0.008200776,0.004201775,0.004909395,0.005620879,0.001592324,0.1319857],"category_scores_gemma":[0.02392374,0.001866692,0.002204944,0.04973303,0.0007363977,0.002583628,0.002443567,0.003326074,0.07356159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06575809,"about_ca_system_score_gemma":0.1672058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956344,"about_ca_topic_score_gemma":0.9931525,"domain_scores_codex":[0.9947928,0.0003690647,0.0006052351,0.0005966268,0.002501843,0.001134405],"domain_scores_gemma":[0.9546437,0.001808904,0.001054977,0.001248252,0.03909432,0.002149841],"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":[0.00001759928,0.000006057106,0.0006522784,0.0001939122,0.00001198961,0.000005308425,0.00001797596,0.00007302187,0.000006496381,0.0002472992,0.9972307,0.001537279],"study_design_scores_gemma":[0.0001662975,0.00001199435,0.02337836,0.000919081,0.00006536958,0.00002587875,0.000469561,0.0003717093,0.0001340251,0.0006797033,0.9736883,0.00008971875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004170909,0.0000525045,0.00002389115,0.0001353878,0.00002932399,0.00001865575,0.9984855,0.0000574687,0.001155527],"genre_scores_gemma":[0.000908406,0.000403786,0.0006391748,0.0002677671,0.00002310042,0.0002023694,0.9916328,0.0001604147,0.005762187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1319857,"threshold_uncertainty_score":0.4771106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04965606784504314,"score_gpt":0.268096731655152,"score_spread":0.2184406638101089,"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."}}