{"id":"W6957992315","doi":"10.6068/dp14ba8a4a46c81","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, Total population for the variable measured youth body mass index, Females | 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; Population statistics; Socioeconomic status; Body mass index; Health statistics; Summary statistics; 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":[0.002713881,0.002580244,0.003142785,0.0067036,0.003392795,0.004489086,0.00582588,0.001666371,0.09442723],"category_scores_gemma":[0.02345015,0.001943933,0.002935696,0.03762453,0.000721481,0.002215379,0.002456791,0.00372505,0.04436065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05521545,"about_ca_system_score_gemma":0.1336282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953323,"about_ca_topic_score_gemma":0.9932695,"domain_scores_codex":[0.9953887,0.0003529026,0.0006272531,0.0005139778,0.002112644,0.00100445],"domain_scores_gemma":[0.9601347,0.001856654,0.001161083,0.001038378,0.03390997,0.001899183],"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":[0.00003009493,0.000009408369,0.001380018,0.0003979433,0.00002730249,0.000006512433,0.00002189757,0.0001028498,0.000006707297,0.0002063123,0.9961725,0.001638543],"study_design_scores_gemma":[0.0004484152,0.00002611875,0.0594481,0.002153465,0.0001830731,0.00004202401,0.0007280301,0.0005731732,0.0001912822,0.0007773553,0.9352842,0.0001448087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005146043,0.0000628361,0.00001724039,0.0001270318,0.00002657866,0.0000176022,0.9990453,0.00004217695,0.0006097019],"genre_scores_gemma":[0.001115976,0.0004324206,0.0004113107,0.0002541289,0.00002476005,0.0002119812,0.9942679,0.00009229826,0.003189095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09442723,"threshold_uncertainty_score":0.400618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07157989883542314,"score_gpt":0.2680218065762522,"score_spread":0.196441907740829,"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."}}