{"id":"W6901659505","doi":"10.6068/dp14ba7fda57033","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: Without asthma, Secondary urban core, Males | 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; Socioeconomic status; Population; Rural area; Population statistics; Social statistics; Demographic statistics; Economic 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":[0.002625905,0.002401266,0.002748279,0.008067935,0.004100005,0.005226253,0.005260543,0.001557614,0.1258596],"category_scores_gemma":[0.02152423,0.001842289,0.002090567,0.0471958,0.0007500516,0.002592858,0.002476014,0.003247494,0.07311672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06892474,"about_ca_system_score_gemma":0.1748531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959699,"about_ca_topic_score_gemma":0.9937349,"domain_scores_codex":[0.9947725,0.0003583765,0.0005698053,0.0005698059,0.002527574,0.001202008],"domain_scores_gemma":[0.95676,0.001566644,0.001033046,0.001151188,0.03729016,0.002198964],"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":[0.00001738187,0.00000588147,0.000645071,0.000188102,0.00001144526,0.000005398031,0.00001897192,0.00007094614,0.000006814724,0.0002725246,0.9972385,0.001518913],"study_design_scores_gemma":[0.0001394703,0.0000113646,0.02223007,0.0008359079,0.00005996442,0.00002609896,0.0005043675,0.0003327927,0.0001349144,0.0006174168,0.9750245,0.00008310703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000477949,0.00006205053,0.00002665195,0.0001546695,0.00003353308,0.00002043546,0.9981208,0.00006585187,0.001468053],"genre_scores_gemma":[0.001129852,0.0004889743,0.000689515,0.0003018522,0.00002672864,0.0001985458,0.9893728,0.0001874093,0.007604326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1258596,"threshold_uncertainty_score":0.5000863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024247094827012,"score_gpt":0.2656132734816786,"score_spread":0.2253708025334085,"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."}}