{"id":"W6901477553","doi":"10.6068/dp14ba7bf8c4665","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | 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: 075-001-114.","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; Socioeconomic status; Official statistics; Health statistics; Social statistics; Economic statistics; Community health; General Social Survey; Population statistics; 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":[0.003175466,0.002534298,0.003081005,0.007291755,0.003711752,0.004694815,0.005969381,0.001697008,0.1414025],"category_scores_gemma":[0.02622599,0.002017718,0.002348783,0.04757029,0.0006923461,0.002495667,0.002458469,0.003328301,0.07982932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0587011,"about_ca_system_score_gemma":0.1369451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941227,"about_ca_topic_score_gemma":0.9914919,"domain_scores_codex":[0.9947076,0.000455529,0.0006508449,0.0005997226,0.002482061,0.001104133],"domain_scores_gemma":[0.9531798,0.00237827,0.001180621,0.001389872,0.03957796,0.002293468],"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":[0.00001763994,0.000005960927,0.0005880744,0.0002128688,0.00001209596,0.000004204343,0.00001662486,0.00007235799,0.000005535831,0.0001996777,0.9975619,0.001302953],"study_design_scores_gemma":[0.0002337191,0.00001463847,0.02549425,0.001060062,0.00007663057,0.00002563556,0.0004924838,0.0004060839,0.0001318907,0.0007323138,0.971235,0.00009724137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003054175,0.00003804783,0.0000195371,0.0001126492,0.00002156979,0.00001719742,0.9988723,0.00004843183,0.0008395931],"genre_scores_gemma":[0.0007118611,0.0002930619,0.000532387,0.0002361496,0.0000191619,0.0002142258,0.993582,0.000136433,0.00427471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1414025,"threshold_uncertainty_score":0.4730384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05319546331461655,"score_gpt":0.3025576011527616,"score_spread":0.249362137838145,"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."}}