{"id":"W6901589862","doi":"10.6068/dp14ba8e4515685","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: Functional health status, not stated, Urban area outside census metropolitan area and census agglomeration, Females | 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; Community health; Economic statistics; Social statistics; General Social Survey; Metropolitan area","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002937351,0.002519903,0.003075021,0.007404675,0.003776346,0.004766549,0.005927511,0.001707885,0.1361458],"category_scores_gemma":[0.02469036,0.001924981,0.002327919,0.04588317,0.0006974739,0.002446483,0.002478498,0.003326795,0.07903438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05560078,"about_ca_system_score_gemma":0.1310075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938667,"about_ca_topic_score_gemma":0.9913034,"domain_scores_codex":[0.9950318,0.0004148382,0.000601977,0.0005897318,0.002303779,0.001057868],"domain_scores_gemma":[0.9578307,0.002177018,0.001075927,0.001286808,0.03548193,0.002147515],"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":[0.0000171204,0.000005749724,0.0005851196,0.0002040996,0.00001185391,0.000004343163,0.00001593817,0.00007087937,0.00000537663,0.0001968479,0.9976548,0.001227762],"study_design_scores_gemma":[0.0002270363,0.00001364574,0.02420502,0.001061644,0.00007450004,0.0000259751,0.0004711667,0.0004190418,0.0001305259,0.0007349662,0.9725409,0.0000955971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002893483,0.00003511983,0.00001727038,0.0001011074,0.00001925322,0.00001480004,0.9990103,0.00004343052,0.000729761],"genre_scores_gemma":[0.000637617,0.0002498852,0.0004446879,0.0001925913,0.00001656411,0.0001813355,0.9946131,0.0001120148,0.003552181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8638542,"threshold_uncertainty_score":0.4554529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06701051635728543,"score_gpt":0.2924136492460387,"score_spread":0.2254031328887533,"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."}}