{"id":"W6958165714","doi":"10.6068/dp14ba8dbd5c499","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Overweight, body mass index (International standard) 25.0 to 29.9 (20 to 64 years), Females, Aboriginal status, not stated | Units: , 2000. 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; Index (typography); Economic statistics; American Community Survey; Demographic 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":[0.002439922,0.002156459,0.002646846,0.007287225,0.003424832,0.004335407,0.005079435,0.001552066,0.124219],"category_scores_gemma":[0.02159507,0.001689175,0.001817722,0.04447689,0.0006798338,0.002284898,0.002277992,0.002964005,0.07408522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04891573,"about_ca_system_score_gemma":0.1292088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930018,"about_ca_topic_score_gemma":0.9903656,"domain_scores_codex":[0.9957735,0.0002993807,0.0005308474,0.000529007,0.001990848,0.0008764372],"domain_scores_gemma":[0.9645439,0.001725938,0.0009944354,0.001179026,0.02976277,0.001793781],"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":[0.00001531692,0.000005264398,0.0005359155,0.0002003611,0.00001135873,0.000004304494,0.00001705948,0.00006700461,0.000005681574,0.0002170568,0.9977768,0.001143875],"study_design_scores_gemma":[0.0001805538,0.00001109525,0.02068799,0.0009057943,0.00006452214,0.00002438846,0.0004450742,0.000321198,0.0001209893,0.0006284788,0.9765271,0.00008283748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003303245,0.00003653734,0.00001664814,0.00009464655,0.00002349329,0.00001321257,0.9988894,0.00004493154,0.0008481603],"genre_scores_gemma":[0.0006188193,0.0002543064,0.0003778953,0.000178215,0.00001721057,0.0001381473,0.9944565,0.0001008203,0.003858043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.124219,"threshold_uncertainty_score":0.415554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287508992721147,"score_gpt":0.2996408289845859,"score_spread":0.2708899297124712,"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."}}