{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002554507,0.002472142,0.002823167,0.008094687,0.004174668,0.005098316,0.005274265,0.0015838,0.1254184],"category_scores_gemma":[0.022368,0.001893474,0.002096074,0.0492483,0.0007401977,0.002582215,0.002499008,0.003289749,0.07383669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06595047,"about_ca_system_score_gemma":0.1670877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959636,"about_ca_topic_score_gemma":0.9936424,"domain_scores_codex":[0.9949685,0.0003436694,0.0005882859,0.0005838436,0.002351979,0.001163644],"domain_scores_gemma":[0.9583429,0.001612216,0.001050523,0.001141027,0.0357701,0.002083385],"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":[0.00001678051,0.000005581576,0.0006412177,0.0001965357,0.00001157246,0.000005141282,0.00001887375,0.0000692818,0.000006346118,0.0002465237,0.9974051,0.001377017],"study_design_scores_gemma":[0.0001594922,0.00001167421,0.0235826,0.0009320807,0.00006262248,0.00002598457,0.0005369394,0.0003450299,0.0001368425,0.000635422,0.9734812,0.00009011963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000420157,0.00005379047,0.00002240416,0.0001330404,0.00002919917,0.00001768386,0.9984427,0.00005704835,0.001202069],"genre_scores_gemma":[0.001021801,0.0004416135,0.0006118561,0.0002724059,0.0000241955,0.0001955298,0.9911315,0.0001719273,0.006129199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1254184,"threshold_uncertainty_score":0.4785064,"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."}}