{"id":"W6957547004","doi":"10.6068/dp14ba80dc40242","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: With arthritis or rheumatism, Urban fringe, 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; Socioeconomic status; Population; Rural area; Population statistics; Social statistics; Community health; American Community Survey","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006446031,0.002483983,0.003380719,0.0001620617,0.002539512,0.001040027,0.0105872,0.000925425,0.003864725],"category_scores_gemma":[0.003730399,0.002414162,1.505492e-7,0.00559927,0.001227614,0.0009214676,0.003501279,0.007129401,0.00004347991],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005546635,"about_ca_system_score_gemma":0.5230426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":1,"about_ca_topic_score_gemma":1,"domain_scores_codex":[0.979101,0.009592409,0.002407165,0.001938014,0.003323249,0.003638154],"domain_scores_gemma":[0.9716374,0.002801981,0.002345075,0.01495056,0.003564999,0.004700006],"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":[0.0002385235,0.0002208865,0.001078326,0.001358471,0.001280336,0.0005341594,0.00001901375,0.00001145885,2.561854e-7,0.00006691523,0.995065,0.0001266446],"study_design_scores_gemma":[0.002258991,0.0002808641,0.0000886531,0.0004828702,0.0003757768,0.0006076667,0.00352955,0.002871593,1.474969e-8,2.558069e-8,0.9868747,0.002629312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002080856,0.01063826,0.000006635946,0.000009582054,0.001098668,0.0029095,0.9838949,0.0001979994,0.001242407],"genre_scores_gemma":[0.00002167708,0.007310685,0.0005352649,0.001801559,0.0001528425,0.00005877427,0.98426,0.001216987,0.00464221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5174959,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436751380807118,"score_gpt":0.2610804022291159,"score_spread":0.2167128884210447,"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."}}