{"id":"W6939222209","doi":"10.6068/dp14ba879371720","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - General | Country: Canada | Table: Self-rated health, by age group and sex, household population | Variable: 65 years and over, Very good or excellent self-rated health, Both sexes | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-108.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health statistics; Census; Economic statistics; Official statistics; Summary statistics; Population; Population statistics; Socioeconomic status; Social 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":[0.002905776,0.002328856,0.002801832,0.008296081,0.003348937,0.004825161,0.005635441,0.001562506,0.119852],"category_scores_gemma":[0.02385302,0.001927305,0.002296444,0.03871569,0.0006629141,0.002605409,0.002411255,0.003339512,0.06781741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05751148,"about_ca_system_score_gemma":0.142238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99463,"about_ca_topic_score_gemma":0.9919441,"domain_scores_codex":[0.9953761,0.0003704264,0.0005555224,0.0005771531,0.002055072,0.001065693],"domain_scores_gemma":[0.9607837,0.001690128,0.001137987,0.001260954,0.03314329,0.001983924],"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":[0.00002504231,0.000005210903,0.0007472697,0.0002568797,0.00001919736,0.000004805795,0.00001942266,0.00007834292,0.00000739072,0.0003377981,0.9968345,0.001664336],"study_design_scores_gemma":[0.0002040976,0.00001388411,0.02342098,0.001001318,0.00007973664,0.00002848303,0.0004166764,0.0004544702,0.0001550517,0.0007313896,0.9733976,0.00009627931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003944632,0.00005003121,0.00002940319,0.0001402343,0.00003211355,0.00002051595,0.9985191,0.00007753531,0.00109161],"genre_scores_gemma":[0.0009310977,0.0003374873,0.0005517384,0.0002145252,0.00002327043,0.0002051253,0.9930702,0.0001682182,0.004498203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.119852,"threshold_uncertainty_score":0.4172769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731746310057339,"score_gpt":0.2551237195433964,"score_spread":0.227806256442823,"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."}}