{"id":"W6901449113","doi":"10.6068/dp14ba89577fd52","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 dietary practices, Males, Total off-reserve population | 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; Population statistics; Socioeconomic status; 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":[0.00292931,0.002137454,0.002717272,0.007396745,0.003385977,0.004350725,0.005481977,0.00144985,0.111865],"category_scores_gemma":[0.02016248,0.001857238,0.002136552,0.03946127,0.0006319634,0.002456303,0.002308197,0.003113885,0.06183019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05179051,"about_ca_system_score_gemma":0.1410404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941795,"about_ca_topic_score_gemma":0.9916755,"domain_scores_codex":[0.9960526,0.0003402617,0.0005132867,0.0004997733,0.001800498,0.0007934451],"domain_scores_gemma":[0.9691366,0.001302051,0.0009132417,0.001195885,0.02594287,0.001509376],"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":[0.00002499765,0.000005556403,0.0007592216,0.0002717003,0.00002012706,0.000006225584,0.00002816822,0.00009000078,0.000009759365,0.0003575773,0.9962741,0.002152569],"study_design_scores_gemma":[0.0001704724,0.00001258157,0.02059129,0.001025368,0.00007571243,0.00002856838,0.0004918038,0.0004282526,0.0001453717,0.0008166212,0.9761209,0.00009316803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000513649,0.00005597567,0.00004246656,0.000150457,0.00004009942,0.00002600183,0.9982905,0.00009862233,0.001244434],"genre_scores_gemma":[0.0009147719,0.0003853648,0.0008640776,0.0002371649,0.00002337196,0.0002557872,0.9914834,0.0002217927,0.00561417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.111865,"threshold_uncertainty_score":0.3757682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958804145260748,"score_gpt":0.3029769602331503,"score_spread":0.2633889187805428,"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."}}