{"id":"W6939117573","doi":"10.6068/dp14ba804dbd813","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, High blood pressure, Males | 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; Economic statistics; Health indicator; Official 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":[0.00279467,0.002433972,0.002835343,0.007340988,0.003534366,0.005134321,0.005464502,0.001835863,0.1420594],"category_scores_gemma":[0.0260251,0.001991422,0.002476935,0.0421318,0.0007497425,0.002682618,0.002605899,0.003446998,0.07797275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05987031,"about_ca_system_score_gemma":0.1541076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994183,"about_ca_topic_score_gemma":0.9912896,"domain_scores_codex":[0.9947272,0.0003540342,0.0006534681,0.0005734827,0.002566976,0.001124742],"domain_scores_gemma":[0.9506414,0.002186375,0.001211023,0.00135046,0.04235819,0.00225257],"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":[0.00002113001,0.000006402915,0.0006198898,0.0002570373,0.00001492282,0.000004829672,0.00001639709,0.00008756226,0.00000762337,0.0002272094,0.9974021,0.001334908],"study_design_scores_gemma":[0.0002268774,0.00001476465,0.02267433,0.001136014,0.00007974078,0.00002686837,0.0004563664,0.0003963538,0.0001579548,0.0006689166,0.9740545,0.0001072571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003280035,0.00004054016,0.00001745336,0.0001245949,0.00002547441,0.00001527731,0.9988058,0.00005319444,0.0008848607],"genre_scores_gemma":[0.0007450079,0.0003122756,0.0004575545,0.0002449156,0.00002094691,0.0001614346,0.9935487,0.0001428687,0.004366353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1420594,"threshold_uncertainty_score":0.4752361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815991349076534,"score_gpt":0.2859394271007669,"score_spread":0.2577795136100016,"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."}}