{"id":"W6976150311","doi":"10.6068/dp14ba80d6a7e8","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Health indicator profile, by Aboriginal identity, age group and sex, four year estimates | Variable: MTtis, 45 years and over, Diabetes, Both sexes | Units: , 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","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; Population; Population statistics; Socioeconomic status; Economic statistics; Summary statistics; Health statistics; Social 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":[0.002616287,0.002222178,0.002617188,0.007077189,0.003749841,0.004572395,0.004958345,0.001625927,0.1419158],"category_scores_gemma":[0.02350564,0.001754477,0.002204097,0.04232424,0.00075122,0.002419891,0.002533138,0.003189566,0.08091559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05779279,"about_ca_system_score_gemma":0.1564866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945915,"about_ca_topic_score_gemma":0.992113,"domain_scores_codex":[0.9951107,0.0003323897,0.0005934264,0.0005437963,0.002413276,0.001006525],"domain_scores_gemma":[0.9557878,0.00170884,0.001048855,0.001248556,0.03810453,0.002101442],"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":[0.00002060743,0.000005646933,0.000578357,0.0002639113,0.00001348637,0.000005121115,0.00002143537,0.00006871098,0.000008799904,0.0002292818,0.9973136,0.001471039],"study_design_scores_gemma":[0.0001687428,0.00001280785,0.02037459,0.001009909,0.00007093536,0.00002536157,0.0004690292,0.000289114,0.0001425167,0.0005824476,0.9767605,0.00009411148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000040573,0.00005088267,0.00002188846,0.0001325309,0.00003079587,0.00001860436,0.9985059,0.00006225475,0.001136577],"genre_scores_gemma":[0.0008236351,0.000361751,0.0005600775,0.0002679415,0.00002288777,0.0001853307,0.9922199,0.0001591934,0.005399399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1419158,"threshold_uncertainty_score":0.4747557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813772303012125,"score_gpt":0.2706330510835374,"score_spread":0.2524953280534161,"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."}}