{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002212576,0.00154696,0.002195396,0.0002527909,0.0003977455,0.001292341,0.005066617,0.0006956126,0.004989408],"category_scores_gemma":[0.0002191779,0.001652904,1.584307e-7,0.001030536,0.0006319997,0.001349508,0.002166637,0.001858232,0.0001363568],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009192593,"about_ca_system_score_gemma":0.05029675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999114,"about_ca_topic_score_gemma":0.9996352,"domain_scores_codex":[0.9895707,0.0007142089,0.001478561,0.003097309,0.002971641,0.002167568],"domain_scores_gemma":[0.9887097,0.0009143878,0.001760779,0.006337625,0.00011969,0.002157757],"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":[0.00008977641,0.0001902108,0.001017111,0.001667198,0.000622637,0.0009104874,0.000003034385,0.00000137615,0.000004507013,0.0003626237,0.994999,0.0001320674],"study_design_scores_gemma":[0.001896477,0.0001621228,0.0001081257,0.0001305261,0.0007644613,0.0002327056,0.00008872764,0.001844462,1.546395e-8,6.089544e-7,0.993062,0.001709777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002110632,0.01237139,0.00001269486,0.000004973263,0.001558721,0.001702192,0.9837875,0.0002082723,0.0003521091],"genre_scores_gemma":[0.000001307438,0.01544933,0.001474472,0.0004833847,0.0003799289,0.00004495239,0.9787155,0.000854311,0.002596824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04937749,"threshold_uncertainty_score":0.9997444,"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."}}