{"id":"W6939286265","doi":"10.6068/dp14ba8eec3594","title":"Most Recent Data (2003). 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: Contact with telephone health line in past 12 months, not stated (15 years and over), Both sexes, Total off-reserve population | Units: , 2003. 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; Descriptive statistics; Socioeconomic status; Health statistics; Social statistics; Community health; Economic statistics; Population; General Social Survey","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":[0.002959499,0.002576733,0.003174769,0.006945081,0.003656044,0.004692331,0.005964132,0.001758625,0.1268434],"category_scores_gemma":[0.02394814,0.001939685,0.00235628,0.04235402,0.0007340246,0.002336198,0.00245101,0.003397384,0.07599203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05441215,"about_ca_system_score_gemma":0.1302305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939381,"about_ca_topic_score_gemma":0.9916872,"domain_scores_codex":[0.9951559,0.0004056487,0.0006065599,0.0006002553,0.002242906,0.0009887471],"domain_scores_gemma":[0.9619896,0.002152335,0.001063991,0.001315307,0.03157884,0.00189999],"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":[0.00001696846,0.000005724794,0.0005428499,0.0002054143,0.00001320569,0.00000403482,0.00001466088,0.00007518597,0.000005274682,0.0001784588,0.9978704,0.001067878],"study_design_scores_gemma":[0.0002480967,0.00001342167,0.02159749,0.001030845,0.00008019654,0.00002467685,0.0004430662,0.0004068876,0.0001345576,0.000701167,0.975222,0.00009768581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002791753,0.00003580223,0.00001560798,0.0000992495,0.00002148797,0.00001329161,0.9990858,0.00004321403,0.0006576795],"genre_scores_gemma":[0.0006323489,0.0002437351,0.0003882996,0.0001920419,0.00001764793,0.0001577318,0.9949296,0.0001062018,0.003332383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1268434,"threshold_uncertainty_score":0.4243336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03341515965207115,"score_gpt":0.2931521711433084,"score_spread":0.2597370114912373,"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."}}