{"id":"W6920508952","doi":"10.6068/dp14ba8ec8d6f66","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Health indicator profile, by Aboriginal identity, age group and sex, four year estimates | Variable: Non-Aboriginal identity population, 12 to 24 years, Body mass index, self-reported, youth (12 to 17 years old), overweight or obese, Males | Units: , 2010. 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; Population; Official statistics; Socioeconomic status; Population statistics; Economic statistics; Summary statistics; Health 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":[0.002514539,0.002263614,0.002646996,0.007179047,0.003343139,0.004507111,0.005054171,0.001556768,0.1134688],"category_scores_gemma":[0.02195154,0.001741036,0.002082559,0.04379549,0.000746365,0.002321877,0.002503291,0.003024135,0.06549262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05215375,"about_ca_system_score_gemma":0.1455026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939535,"about_ca_topic_score_gemma":0.9910268,"domain_scores_codex":[0.995552,0.0003211315,0.0005674916,0.0005224334,0.002063828,0.0009730674],"domain_scores_gemma":[0.9592714,0.001896968,0.001116882,0.001269057,0.03439976,0.002045851],"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":[0.00002133692,0.000006436612,0.0006721886,0.0002516759,0.00001508886,0.000005065596,0.00002101017,0.00009003095,0.000007771415,0.0002308494,0.9973602,0.001318236],"study_design_scores_gemma":[0.0002051584,0.00001378291,0.02299872,0.001052626,0.00007661057,0.00002627097,0.0005324574,0.0004159494,0.0001540702,0.0006287583,0.9737941,0.000101537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003855352,0.0000371438,0.00001609303,0.0001031245,0.00002199432,0.00001264628,0.9989576,0.00005413345,0.0007585982],"genre_scores_gemma":[0.000727819,0.0002689764,0.0004142701,0.0001836828,0.0000166146,0.0001352122,0.9944229,0.0001225088,0.00370793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1134688,"threshold_uncertainty_score":0.3795909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329071262388777,"score_gpt":0.2874334776513658,"score_spread":0.264142765027478,"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."}}