{"id":"W6939116830","doi":"10.6068/dp14ba7ff87b310","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: Pain or discomfort, not stated, Urban, Males | Units: , 2000. 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; Health statistics; Economic statistics; Demographic 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":[0.002592615,0.002403675,0.002670339,0.007995797,0.004140634,0.005217318,0.005126382,0.001587292,0.1332883],"category_scores_gemma":[0.02208255,0.001917845,0.002054604,0.0463095,0.0007609972,0.002686665,0.002534774,0.003291088,0.07536838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07174757,"about_ca_system_score_gemma":0.1813778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963217,"about_ca_topic_score_gemma":0.9942555,"domain_scores_codex":[0.9946485,0.0003370766,0.0005842206,0.0005624656,0.002651664,0.001216081],"domain_scores_gemma":[0.9561086,0.001596219,0.001027768,0.001069068,0.03797037,0.002227996],"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":[0.00001683108,0.000005996546,0.0006626206,0.0002106669,0.00001069932,0.000005233104,0.00002025964,0.00006984709,0.000006399589,0.0002675966,0.997076,0.001647898],"study_design_scores_gemma":[0.0001468246,0.00001241164,0.02489016,0.0009343661,0.0000611109,0.00002570568,0.0005581222,0.000314011,0.0001301118,0.0005784601,0.9722601,0.0000885511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005030331,0.00006943975,0.00002658776,0.0001673749,0.00003786566,0.00002329277,0.9978702,0.00006372764,0.001691121],"genre_scores_gemma":[0.001220535,0.0005877066,0.0006913622,0.0003458278,0.00003045345,0.0002258547,0.9873169,0.0001903113,0.00939092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1332883,"threshold_uncertainty_score":0.5205675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04727155315361109,"score_gpt":0.2690214627241742,"score_spread":0.2217499095705631,"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."}}