{"id":"W6939014950","doi":"10.6068/dp14ba8d77ccd40","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: Normal weight, body mass index (Canadian standard) 20.0 to 24.9 (20 to 64 years), Females, Total off-reserve population | 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; Population statistics; Socioeconomic status; Index (typography); Economic statistics; Demographic statistics; Social 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":[0.002349511,0.002174536,0.00263658,0.007323437,0.003416787,0.004263778,0.005014874,0.001575118,0.1266707],"category_scores_gemma":[0.02148713,0.001670555,0.001773503,0.04411423,0.0006910138,0.002317462,0.002267093,0.002955602,0.07710845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04690198,"about_ca_system_score_gemma":0.1231917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923506,"about_ca_topic_score_gemma":0.9896271,"domain_scores_codex":[0.9959635,0.0002835282,0.0005030739,0.0005248808,0.001893496,0.0008315408],"domain_scores_gemma":[0.9660608,0.001711307,0.0009508025,0.001198264,0.02839323,0.001685623],"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":[0.00001403182,0.000004765962,0.0004810251,0.0001896158,0.00001060613,0.000004083929,0.00001551934,0.00006606129,0.000005422838,0.0002057486,0.997948,0.001055216],"study_design_scores_gemma":[0.0001743217,0.000009905379,0.01773432,0.0008405313,0.00005888093,0.00002259845,0.0003970464,0.000297971,0.0001162709,0.0006299528,0.9796402,0.00007792455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002924441,0.00003326139,0.00001520419,0.00008763175,0.00002140965,0.00001160523,0.9989763,0.00004265681,0.000782631],"genre_scores_gemma":[0.0005619645,0.0002333681,0.0003484953,0.0001666333,0.00001608879,0.0001288591,0.9949383,0.00009660226,0.003509854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1266707,"threshold_uncertainty_score":0.4237559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826919697923484,"score_gpt":0.2834108492123412,"score_spread":0.2551416522331064,"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."}}