{"id":"W6901384532","doi":"10.6068/dp14ba892e2b378","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Children and Youth - Health and Well-Being | Country: Canada | Table: Measured youth body mass index (BMI), by age group and sex, household population aged 12 to 17 excluding pregnant females, Canadian Community Health Survey (CCHS 3.1) | Variable: 12 to 14 years, Measured youth body mass index, neither overweight nor obese, Males | Units: # Persons, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-027.","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; Overweight; Health statistics; Socioeconomic status; Body mass index; Population statistics; Official statistics; Summary 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002631844,0.00259951,0.003145762,0.006629701,0.003411318,0.004547374,0.005833843,0.001670302,0.0936715],"category_scores_gemma":[0.02286613,0.001961327,0.002960846,0.03722736,0.0007241185,0.002209486,0.002450446,0.003741592,0.04461044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05494162,"about_ca_system_score_gemma":0.1311117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953826,"about_ca_topic_score_gemma":0.9934413,"domain_scores_codex":[0.9954965,0.0003394087,0.0006185792,0.0005083911,0.002029785,0.001007459],"domain_scores_gemma":[0.9615713,0.00179661,0.001148762,0.001017137,0.03256485,0.001901288],"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":[0.00003053983,0.000009470212,0.001409784,0.0003990734,0.00002737979,0.000006441559,0.00002217861,0.0001004387,0.000006667703,0.0002045399,0.9961923,0.001591112],"study_design_scores_gemma":[0.0004643795,0.00002683191,0.06168598,0.002196785,0.0001866679,0.00004263615,0.0007492115,0.0005673826,0.0001933099,0.0007684742,0.9329733,0.0001450953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005150793,0.00006187463,0.00001591854,0.0001219172,0.00002565455,0.00001655859,0.999079,0.00003986428,0.0005876209],"genre_scores_gemma":[0.001085455,0.0004084332,0.000368583,0.0002393516,0.00002354592,0.0001964895,0.9945912,0.00008503343,0.003001893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9063285,"threshold_uncertainty_score":0.3986313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905298933141906,"score_gpt":0.258856539100972,"score_spread":0.1998035497695529,"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."}}