{"id":"W6901614526","doi":"10.6068/dp14ba85a76dc49","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: Excellent self-rated health, Both sexes, Aboriginal status, not stated | 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; Official statistics; Socioeconomic status; Population; Population statistics; Economic statistics; Social statistics; American Community 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":[0.002934535,0.002214801,0.002751949,0.007829338,0.003468921,0.004782255,0.005814069,0.00157705,0.1237715],"category_scores_gemma":[0.02159891,0.001967427,0.002155798,0.04007092,0.0006697266,0.002583091,0.002457958,0.003134971,0.0712166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05080149,"about_ca_system_score_gemma":0.1390265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937642,"about_ca_topic_score_gemma":0.9909018,"domain_scores_codex":[0.9958932,0.0003543796,0.000528886,0.0005252744,0.001842621,0.0008555384],"domain_scores_gemma":[0.9681841,0.001388222,0.0009515972,0.001283107,0.02651109,0.001681917],"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":[0.00002214938,0.000005091229,0.000648659,0.0002444108,0.0000174409,0.000005625597,0.0000241823,0.0000842036,0.00000805609,0.0003460666,0.9967865,0.001807635],"study_design_scores_gemma":[0.0001698977,0.00001158385,0.01781992,0.001020368,0.00006928774,0.00002825492,0.0004562919,0.0004197209,0.0001342139,0.0008415547,0.9789364,0.00009245993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000407968,0.00004848762,0.00003672317,0.0001378908,0.00003688564,0.0000233422,0.9983974,0.00008987945,0.001188586],"genre_scores_gemma":[0.0008119728,0.0003357032,0.0007293138,0.000225326,0.00002223279,0.0002373403,0.9922599,0.0002097191,0.005168542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1237715,"threshold_uncertainty_score":0.4140569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504798343454194,"score_gpt":0.285553668108838,"score_spread":0.260505684674296,"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."}}