{"id":"W6920521049","doi":"10.6068/dp14ba8bdf3e741","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: Disability days, not stated, 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; Rural area; Population; American Community Survey; Socioeconomic status; Population statistics; Demographic statistics; Social statistics; Health 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":[0.002860564,0.002481149,0.002800163,0.008159725,0.004210087,0.005048522,0.005578089,0.001580036,0.1300363],"category_scores_gemma":[0.02411756,0.001897927,0.002153034,0.04932493,0.0007320728,0.002611158,0.002412542,0.003292087,0.0726504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06720512,"about_ca_system_score_gemma":0.1702867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959128,"about_ca_topic_score_gemma":0.9934781,"domain_scores_codex":[0.9947199,0.0003745138,0.0006021791,0.0005969004,0.002562898,0.001143689],"domain_scores_gemma":[0.9532341,0.001848709,0.001056017,0.001266846,0.04040642,0.002187856],"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":[0.00001766964,0.000006128887,0.0006498564,0.0001953198,0.00001197214,0.000005431778,0.00001936277,0.00007594132,0.000006556025,0.000268256,0.9971691,0.001574346],"study_design_scores_gemma":[0.0001574576,0.00001170578,0.02273375,0.0008970991,0.0000630737,0.00002514492,0.0004838725,0.0003659134,0.0001320264,0.0006799035,0.974362,0.00008806144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004349732,0.00005506169,0.00002491947,0.0001412646,0.00002943308,0.00001901413,0.9983717,0.00005949127,0.001255811],"genre_scores_gemma":[0.0009704044,0.0004227349,0.0006712727,0.0002702463,0.00002318959,0.0002025737,0.9910334,0.0001705541,0.006235654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1300363,"threshold_uncertainty_score":0.4876095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422675971941478,"score_gpt":0.2720204384516703,"score_spread":0.2277936787322556,"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."}}