{"id":"W6901408997","doi":"10.6068/dp14ba880a51523","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: Total, 12 to 17 years, Measured youth body mass index, overweight, Both sexes | 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; Health statistics; Socioeconomic status; Population statistics; Summary statistics; Body mass index; Official statistics; Index (typography)","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":[0.002647601,0.002557604,0.003120026,0.006531971,0.003388715,0.004462025,0.005798135,0.001643798,0.09315459],"category_scores_gemma":[0.02296605,0.001931652,0.002942492,0.0369014,0.0007098148,0.002204209,0.002416231,0.003691418,0.0438832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05486844,"about_ca_system_score_gemma":0.131809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954122,"about_ca_topic_score_gemma":0.9934622,"domain_scores_codex":[0.9954801,0.0003457194,0.0006256432,0.0005086802,0.00205038,0.0009895526],"domain_scores_gemma":[0.9612221,0.001785591,0.001143697,0.001009612,0.03295359,0.001885395],"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":[0.00003077348,0.000009496593,0.001439916,0.0004032953,0.00002781409,0.000006405501,0.00002234763,0.0001008123,0.000006704156,0.0002071844,0.9960992,0.001645996],"study_design_scores_gemma":[0.0004600709,0.00002703154,0.06214172,0.002195753,0.0001881654,0.00004254329,0.0007441806,0.0005751999,0.0001940742,0.0007736427,0.9325122,0.0001455159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005330342,0.00006294223,0.00001699861,0.0001240339,0.0000261156,0.00001764655,0.9990477,0.0000415849,0.0006096598],"genre_scores_gemma":[0.001126031,0.0004276328,0.0003968945,0.0002510391,0.00002418156,0.000209081,0.9943807,0.00008848024,0.003095989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09315459,"threshold_uncertainty_score":0.3981003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761474650788343,"score_gpt":0.2591011980452828,"score_spread":0.2014864515373994,"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."}}