{"id":"W1596402041","doi":"10.1096/fasebj.29.1_supplement.31.3","title":"Measuring Child Length and Height: Assessing the Accuracy of a Portable Infrared‐based Digital Tool","year":2015,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Gold standard (test); Concordance; Intraclass correlation; Measure (data warehouse); Anthropometry; Standard error; Limits of agreement; Medicine; Statistics; Mathematics; Computer science; Data mining; Nuclear medicine; Reproducibility; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.01351132,0.0004701266,0.0005555318,0.001276269,0.0002726951,0.0009749067,0.0007824725,0.0005649878,0.001061178],"category_scores_gemma":[0.03923459,0.0004006493,0.0007675571,0.001015542,0.0005912658,0.0007922386,0.001126167,0.0005322932,0.0004276718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563973,"about_ca_system_score_gemma":0.0003738313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814248,"about_ca_topic_score_gemma":0.004667838,"domain_scores_codex":[0.9886428,0.004616582,0.001167782,0.001196693,0.004123548,0.0002526562],"domain_scores_gemma":[0.9735223,0.01545634,0.005098015,0.001579755,0.004082746,0.0002608729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008246184,0.00009207326,0.9237056,0.0003566954,0.0002825253,0.0001338968,0.001943757,0.0005146309,0.003614119,0.0001597826,0.0005128626,0.06785941],"study_design_scores_gemma":[0.00003615591,0.001375759,0.9885021,0.0001466923,0.0001889745,0.0008960759,0.0008580472,0.003825702,0.002471274,0.0001199487,0.001544749,0.00003445375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793668,0.001790262,0.01359212,0.0001367732,0.00007737622,0.0002323862,0.0005260594,0.00008699152,0.00419124],"genre_scores_gemma":[0.9841011,0.0005236207,0.01425291,0.00006574025,0.00003197913,0.0001541255,0.0002751129,0.00002573102,0.0005695906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351132,"threshold_uncertainty_score":0.07145554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102068996452969,"score_gpt":0.3732206185106119,"score_spread":0.263013718865315,"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."}}