{"id":"W6920358831","doi":"10.6068/dp14ba814b5ae99","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, 25 to 44 years, High blood pressure, Males | 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; Socioeconomic status; Population statistics; Economic statistics; Summary statistics; Health 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":[0.002549029,0.002168535,0.002560803,0.007077149,0.003682282,0.004564207,0.004894501,0.001615644,0.1299857],"category_scores_gemma":[0.02301568,0.00170934,0.002196197,0.04132589,0.0007445102,0.002325217,0.002439006,0.003168927,0.07555172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0557467,"about_ca_system_score_gemma":0.1512138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944707,"about_ca_topic_score_gemma":0.9923109,"domain_scores_codex":[0.9953175,0.0003206257,0.0005785783,0.0005306437,0.002279744,0.000973019],"domain_scores_gemma":[0.9577562,0.001695739,0.001006762,0.001217066,0.03634423,0.001980014],"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":[0.00002054624,0.000005546382,0.0006227485,0.0002576719,0.00001414612,0.000005284114,0.00002157637,0.00007171563,0.000008447058,0.000225847,0.9973571,0.001389413],"study_design_scores_gemma":[0.0001784574,0.00001267596,0.02154136,0.001025138,0.00007455588,0.0000259183,0.0004967033,0.000310338,0.0001416561,0.0005983516,0.9754992,0.00009561623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003968738,0.00004807328,0.00002005524,0.0001279699,0.0000288144,0.00001616829,0.9986871,0.00005626106,0.0009759785],"genre_scores_gemma":[0.0008169768,0.000340369,0.0005094006,0.00024522,0.00002228797,0.0001722919,0.9930156,0.0001424231,0.004735472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1299857,"threshold_uncertainty_score":0.4348454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041184376047592,"score_gpt":0.2734489111197218,"score_spread":0.2530370673592459,"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."}}