{"id":"W6939018655","doi":"10.6068/dp14ba87ed2e950","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: Total population for the variable diabetes, Males, 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; Population; Socioeconomic status; Population statistics; Social statistics; Economic statistics; Distribution (mathematics)","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":[0.002790808,0.002217789,0.002713581,0.007778497,0.003380704,0.004749559,0.005628474,0.0015567,0.1212606],"category_scores_gemma":[0.02023971,0.001964455,0.002181246,0.0401336,0.0006523594,0.002569026,0.002362301,0.003131055,0.07042987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05090508,"about_ca_system_score_gemma":0.1409328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937085,"about_ca_topic_score_gemma":0.9907313,"domain_scores_codex":[0.9959424,0.0003447546,0.0005155589,0.0005181642,0.001826195,0.0008529171],"domain_scores_gemma":[0.9693888,0.001261751,0.0009156782,0.001190662,0.02564685,0.001596193],"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":[0.00002262897,0.000005111142,0.0006567904,0.0002390861,0.00001789486,0.000005940393,0.00002296024,0.00008594196,0.000008422911,0.0003484031,0.9967058,0.001881048],"study_design_scores_gemma":[0.0001644345,0.00001132494,0.0177013,0.0009782325,0.00006986506,0.00002810343,0.0004247133,0.000420931,0.0001338441,0.0008041174,0.9791753,0.00008771529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004395441,0.00005457376,0.00004062209,0.0001520014,0.00004121703,0.00002492172,0.9982066,0.00009942635,0.001336664],"genre_scores_gemma":[0.00086029,0.0003802647,0.0008000456,0.0002533827,0.00002445341,0.0002404533,0.9914635,0.0002308506,0.005746752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212606,"threshold_uncertainty_score":0.4056573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507236421791623,"score_gpt":0.2793711047380373,"score_spread":0.2542987405201211,"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."}}