{"id":"W6957683138","doi":"10.6068/dp14ba7ba929e3","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: 1 or more two-week disability days, Rural area outside census metropolitan area and census agglomeration, Both sexes | 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; American Community Survey; Socioeconomic status; Population statistics; Demographic statistics; 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":[0.002911726,0.002461845,0.00277561,0.007864895,0.004173644,0.005035323,0.005508354,0.001582586,0.1376197],"category_scores_gemma":[0.02401527,0.001902228,0.002092768,0.0489553,0.0007389318,0.002624994,0.002407829,0.003281779,0.07762653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06736349,"about_ca_system_score_gemma":0.1716309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995771,"about_ca_topic_score_gemma":0.9933504,"domain_scores_codex":[0.9945767,0.0003867323,0.0006143529,0.0006028441,0.002665113,0.001154225],"domain_scores_gemma":[0.9513503,0.001889518,0.001074327,0.001274999,0.04216902,0.002241845],"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":[0.00001751867,0.00000615203,0.000622297,0.000189622,0.00001103862,0.000005167286,0.00001891741,0.00007161607,0.000006486002,0.000260402,0.9971768,0.001614039],"study_design_scores_gemma":[0.0001492841,0.00001196164,0.02277945,0.0008661668,0.00005871175,0.00002422823,0.0004879259,0.000341916,0.000128166,0.0006479765,0.9744184,0.00008587319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000452373,0.00005841839,0.00002664906,0.0001555542,0.00003210235,0.00002053255,0.9981747,0.00006217958,0.00142467],"genre_scores_gemma":[0.001012465,0.0004555013,0.0007132667,0.0003053134,0.00002520374,0.0002137018,0.989654,0.0001836519,0.007436933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1376197,"threshold_uncertainty_score":0.4887586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073894468631544,"score_gpt":0.2835028855704715,"score_spread":0.232763940884156,"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."}}