{"id":"W6901517475","doi":"10.6068/dp14ba7c35d7823","title":"Trend 2000 - 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: 1 or more two-week disability days, Both sexes, Aboriginal status | Units: , 2000-2003. 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":"Socioeconomic status; Census; Health statistics; Official 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":[0.002618158,0.002594542,0.003116592,0.007254483,0.0032743,0.004693834,0.006136068,0.001693779,0.1101899],"category_scores_gemma":[0.02102766,0.002015154,0.002444405,0.03666751,0.0006485611,0.002382547,0.00238867,0.003268681,0.06617738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04814462,"about_ca_system_score_gemma":0.1121147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934598,"about_ca_topic_score_gemma":0.9910946,"domain_scores_codex":[0.996181,0.0003392942,0.0004696392,0.0005343325,0.001635587,0.0008400744],"domain_scores_gemma":[0.973361,0.001395485,0.0008847634,0.001120324,0.02173598,0.001502456],"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":[0.00002316661,0.000004959062,0.0006878872,0.0002271945,0.00001960477,0.00000517191,0.00001756091,0.00009800228,0.000006906012,0.0002739916,0.9972644,0.001371119],"study_design_scores_gemma":[0.0002424983,0.00001328524,0.01956146,0.001025604,0.00008263566,0.00002931716,0.0004044364,0.0006040855,0.0001477951,0.0009308129,0.976856,0.0001021791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003053361,0.00003499848,0.00002418927,0.0001025865,0.00002377906,0.0000137781,0.9990928,0.00006037295,0.0006169268],"genre_scores_gemma":[0.0006216569,0.0002105609,0.0004352052,0.0001587173,0.00001591553,0.0001528125,0.995464,0.0001262885,0.002814902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1101899,"threshold_uncertainty_score":0.3686221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715783230044868,"score_gpt":0.3177116365291295,"score_spread":0.2805538042286808,"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."}}