{"id":"W6920331858","doi":"10.6068/dp14ba8e1bd1520","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: Some excess weight, body mass index (Canadian standard) 25.0 to 27.0 (20 to 64 years), Both sexes, 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; Economic statistics; Population statistics; Socioeconomic status; 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":[0.002241442,0.002103529,0.002653578,0.006676944,0.003401521,0.00433671,0.004971179,0.001481379,0.1413281],"category_scores_gemma":[0.01949406,0.001742718,0.001811909,0.04253197,0.0006702416,0.002302217,0.002157937,0.003014191,0.0837901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04851433,"about_ca_system_score_gemma":0.1309448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936115,"about_ca_topic_score_gemma":0.9909797,"domain_scores_codex":[0.9961697,0.0002503873,0.0004635237,0.0004757504,0.001849461,0.0007911415],"domain_scores_gemma":[0.9675338,0.001483412,0.0008439964,0.001028253,0.02748849,0.001622001],"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":[0.00001541905,0.000005226813,0.0005239819,0.0002002719,0.00001063134,0.000004169663,0.00001632094,0.00006004736,0.000005553332,0.0002032017,0.9977424,0.001212763],"study_design_scores_gemma":[0.0002012805,0.00001154959,0.02092223,0.0008738681,0.00006517961,0.00002407261,0.0004256116,0.0002922744,0.0001251301,0.0006015311,0.9763768,0.0000803547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003667574,0.00004018504,0.00001818118,0.00009983544,0.00002511727,0.00001494268,0.9986518,0.00005087545,0.001062359],"genre_scores_gemma":[0.0006883511,0.0002821437,0.0004134136,0.0002035819,0.00001920146,0.0001551966,0.9931238,0.0001210656,0.004993263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1413281,"threshold_uncertainty_score":0.4727897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366853005520839,"score_gpt":0.2833642415414103,"score_spread":0.2596957114862019,"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."}}