{"id":"W6939270367","doi":"10.6068/dp14ba871322c72","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Moderate or severe functional health problems, Both sexes, Aboriginal status | Units: , 2000-2003. 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; Socioeconomic status; Official statistics; Population; Community health; Population statistics; Economic statistics; Distribution (mathematics); 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":[0.002750799,0.002169775,0.002685538,0.007608609,0.003315013,0.004485188,0.005417282,0.00143751,0.1184804],"category_scores_gemma":[0.019989,0.001927338,0.002065065,0.03916351,0.0006291788,0.002423786,0.002363059,0.00295781,0.06968271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04847549,"about_ca_system_score_gemma":0.1340083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939066,"about_ca_topic_score_gemma":0.9911696,"domain_scores_codex":[0.9962128,0.0003259855,0.00047677,0.0004983424,0.001692815,0.0007932512],"domain_scores_gemma":[0.9701136,0.00124075,0.0008923808,0.001207983,0.02497312,0.001572329],"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":[0.00002168542,0.0000047485,0.0006681563,0.0002264522,0.00001762358,0.000005687786,0.0000241432,0.00008088027,0.000008107962,0.0003303635,0.9967743,0.001837913],"study_design_scores_gemma":[0.0001612346,0.00001110521,0.01830898,0.0009617904,0.00006832305,0.00002846431,0.0004388042,0.000414869,0.0001294701,0.000826164,0.9785632,0.00008756905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000440669,0.00004952246,0.00003905202,0.0001338215,0.00003481055,0.00002282078,0.9983751,0.00009640786,0.001204508],"genre_scores_gemma":[0.0008194033,0.0003240051,0.0007550396,0.0002246364,0.00002084866,0.0002221625,0.9921541,0.0002209375,0.005258953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1184804,"threshold_uncertainty_score":0.3963563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449012014867146,"score_gpt":0.2856445949843955,"score_spread":0.251154474835724,"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."}}