{"id":"W6976358689","doi":"10.6068/dp14ba80b1d4989","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Health - Disability | Country: Canada | Table: Health indicator profile, by Aboriginal identity, age group and sex, four year estimates | Variable: MTtis, 25 to 44 years, Respiratory problems, Females | Units: , 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-109.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health statistics; Census; Summary statistics; Official statistics; Health indicator; Economic statistics; Socioeconomic status; Mental health; Population 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":[0.002759282,0.002434309,0.002797459,0.007245917,0.003570222,0.005120709,0.005410958,0.001827025,0.1465609],"category_scores_gemma":[0.02552525,0.001956522,0.002432198,0.041589,0.000750927,0.002702906,0.002613851,0.00335715,0.08011185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06091378,"about_ca_system_score_gemma":0.1547794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943159,"about_ca_topic_score_gemma":0.9915662,"domain_scores_codex":[0.9949147,0.0003480563,0.0006272259,0.000552643,0.002468069,0.001089456],"domain_scores_gemma":[0.952206,0.002126,0.001163314,0.001295341,0.04093824,0.00227112],"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":[0.00002090283,0.00000616625,0.0005992876,0.0002568001,0.00001427246,0.000004789429,0.00001675226,0.00008584148,0.000007642334,0.0002226582,0.9974098,0.001355217],"study_design_scores_gemma":[0.0002143624,0.00001443338,0.02161604,0.001128752,0.00007720754,0.00002671503,0.0004629447,0.000390577,0.0001555723,0.0006615572,0.9751474,0.0001044838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003357834,0.00004205602,0.00001795183,0.0001291092,0.00002531196,0.00001517809,0.9987531,0.00005604762,0.0009276282],"genre_scores_gemma":[0.000757277,0.0003242056,0.0004619021,0.0002457748,0.00002101621,0.0001591335,0.9933385,0.0001503991,0.004541738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1465609,"threshold_uncertainty_score":0.490295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04930502827314964,"score_gpt":0.3070775582587465,"score_spread":0.2577725299855969,"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."}}