{"id":"W6920095726","doi":"10.6068/dp14ba7f7462840","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Health - Disability | Country: Canada | Table: Health indicator profile, by Aboriginal identity and sex, age-standardized rate, four year estimates | Variable: First Nations, 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":"Census; Health statistics; Economic statistics; Health indicator; Summary statistics; Socioeconomic status; Official statistics; Mental health","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":[0.002775386,0.002410707,0.002866509,0.007541921,0.003582499,0.004914487,0.005603517,0.001777195,0.1358127],"category_scores_gemma":[0.02371222,0.00191216,0.002434768,0.04300119,0.0007464653,0.00261576,0.002574535,0.003421846,0.07385521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06446091,"about_ca_system_score_gemma":0.1627145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947256,"about_ca_topic_score_gemma":0.991785,"domain_scores_codex":[0.9948452,0.0003599417,0.0006282465,0.0005502676,0.002488592,0.001127876],"domain_scores_gemma":[0.9522315,0.002001461,0.001191598,0.001254261,0.04103566,0.002285569],"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":[0.00002103787,0.000006828081,0.000675642,0.0002674887,0.00001547854,0.000005018785,0.00001721698,0.00008940049,0.000007932913,0.0002472321,0.9972758,0.001370896],"study_design_scores_gemma":[0.0002080727,0.00001519383,0.02515046,0.001121088,0.00007921777,0.00002808392,0.0004906069,0.0003987191,0.0001623415,0.000647142,0.971594,0.0001049565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003692259,0.00004497301,0.00001847057,0.0001288982,0.00002689472,0.00001706016,0.9987677,0.00005238767,0.0009066985],"genre_scores_gemma":[0.0008131949,0.0003391215,0.0004651207,0.000246141,0.00002274089,0.0001759397,0.9931623,0.0001393938,0.004636044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1358127,"threshold_uncertainty_score":0.4676988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889987286629028,"score_gpt":0.2900933738472422,"score_spread":0.261193500980952,"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."}}