{"id":"W4248544415","doi":"10.3148/65.1.2004.22","title":"The Use of Growth Charts for Assessing and Monitoring Growth in Canadian Infants and Children","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Birth, Development, and Health","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Body mass index; Guideline; Medicine; Growth chart; Index (typography); Health care; Population; Family medicine; Pediatrics; Environmental health; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009842446,0.0006390836,0.0004350091,0.006104045,0.002744821,0.001959736,0.001873028,0.0006695173,0.00187701],"category_scores_gemma":[0.03939651,0.0003310743,0.0004285758,0.007991684,0.0008627413,0.0009155684,0.001513684,0.001678094,0.0005154877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01739879,"about_ca_system_score_gemma":0.06196525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9479464,"about_ca_topic_score_gemma":0.9689797,"domain_scores_codex":[0.9843635,0.002098933,0.001599762,0.0003922724,0.01089502,0.0006504454],"domain_scores_gemma":[0.9585865,0.00277422,0.003388463,0.001245772,0.03190125,0.002103908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001272201,0.0001034506,0.1228568,0.00116484,0.00005356031,0.0004354454,0.003069966,0.001475731,0.001649174,0.006637375,0.2898769,0.5725496],"study_design_scores_gemma":[0.00005332328,0.0001328181,0.6066976,0.001984356,0.00008730555,0.0008611134,0.002312207,0.003233018,0.002072196,0.001352957,0.3810268,0.0001863718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1983732,0.09174823,0.09575567,0.09990069,0.008822305,0.006045501,0.07526683,0.006415475,0.417672],"genre_scores_gemma":[0.5621974,0.07828229,0.3003824,0.006161071,0.0008880284,0.003065322,0.02317127,0.0006636041,0.0251887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05205363,"threshold_uncertainty_score":0.1262376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250732088878139,"score_gpt":0.4115743378409664,"score_spread":0.2865011289531525,"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."}}