{"id":"W6901442477","doi":"10.6068/dp14ba8977e4371","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: High blood pressure, not stated, Both sexes, Aboriginal status, not stated | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-114.","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; Socioeconomic status; Health statistics; Social statistics; Economic statistics; Community health; General Social Survey; Summary 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":[0.002720777,0.002539341,0.003057975,0.007081346,0.003695925,0.004862052,0.005835447,0.001784692,0.1290923],"category_scores_gemma":[0.02442725,0.001972741,0.002272341,0.04217911,0.0007381929,0.002440272,0.002520435,0.003426855,0.08375786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05014386,"about_ca_system_score_gemma":0.1164574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931945,"about_ca_topic_score_gemma":0.9908847,"domain_scores_codex":[0.9954215,0.0003598041,0.0005423779,0.0006003473,0.002097669,0.0009782994],"domain_scores_gemma":[0.9644356,0.002051868,0.0009778884,0.001329081,0.0293004,0.001905114],"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":[0.00001560672,0.000005011929,0.0005128526,0.0001928078,0.00001221225,0.00000393183,0.00001404364,0.00007239157,0.000005485598,0.000188,0.9979498,0.001027878],"study_design_scores_gemma":[0.0002448249,0.00001257159,0.02071665,0.0009372137,0.00007182307,0.00002391283,0.0003973432,0.0004057196,0.0001318168,0.0007253835,0.9762341,0.00009855246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002343579,0.00002900432,0.00001472801,0.00008500279,0.00001840229,0.00001062964,0.9992222,0.00004260119,0.0005539635],"genre_scores_gemma":[0.0005068958,0.0001838591,0.0003398861,0.0001541829,0.00001442271,0.0001258551,0.9959859,0.00009364633,0.002595269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1290923,"threshold_uncertainty_score":0.4318567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411504407910344,"score_gpt":0.2972578100135507,"score_spread":0.2631427659344472,"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."}}