{"id":"W2768839371","doi":"10.1186/s13104-017-2983-0","title":"Misclassification of child body mass index from cut-points defined by rounded percentiles instead of Z-scores","year":2017,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Work & Health; Hospital for Sick Children; McMaster University; Institute for Clinical Evaluative Sciences; Impact; University of Toronto; SickKids Foundation","funders":"Canadian Institutes of Health Research","keywords":"Percentile; Overweight; Body mass index; Medicine; Childhood obesity; Obesity; Demography; Standard score; Pediatrics; Statistics; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01383161,0.0007556126,0.0007066191,0.001972326,0.0003088361,0.001075521,0.0008039415,0.0005683231,0.0007717693],"category_scores_gemma":[0.04805944,0.0003552809,0.0009489057,0.001947345,0.0006935089,0.0006791073,0.001022585,0.0006705936,0.000336751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005872686,"about_ca_system_score_gemma":0.0004353964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00730059,"about_ca_topic_score_gemma":0.005337084,"domain_scores_codex":[0.9853689,0.007324493,0.001706633,0.001665967,0.003452013,0.0004818929],"domain_scores_gemma":[0.9689944,0.0130527,0.01138501,0.003349438,0.002780586,0.0004378342],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004435413,0.00003279374,0.9900314,0.00008933846,0.0002032024,0.00006843183,0.0003348574,0.0008381773,0.0003263334,0.0001452678,0.0003199952,0.007166822],"study_design_scores_gemma":[0.00002038042,0.0002840441,0.9930963,0.0001592667,0.0001064177,0.0005967527,0.0003471807,0.002832528,0.001555323,0.0003460466,0.000637421,0.00001829148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877114,0.001180347,0.008172954,0.0001264727,0.00007785248,0.00009826067,0.001508539,0.00007265749,0.001051585],"genre_scores_gemma":[0.9926179,0.0002820382,0.004951926,0.0001707322,0.00002474332,0.0000757524,0.001610848,0.00002022183,0.000245896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9861684,"threshold_uncertainty_score":0.07314944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114616504804149,"score_gpt":0.3899568788888425,"score_spread":0.2753403740846934,"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."}}