{"id":"W4389635530","doi":"10.1016/j.ebiom.2023.104913","title":"Paediatric blood pressure percentiles from United States of America electronic health records","year":2023,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Health records; Electronic health record; Percentile; Medicine; Blood pressure; Environmental health; Political science; Statistics; Health care; Internal medicine; Law","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":[0.001755349,0.0009311413,0.000777442,0.01076242,0.0004346616,0.001267149,0.001055271,0.0003204742,0.01575278],"category_scores_gemma":[0.01291189,0.000390198,0.0009563526,0.01640906,0.0002244585,0.001445586,0.001050452,0.00162181,0.006280628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363915,"about_ca_system_score_gemma":0.001096392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272119,"about_ca_topic_score_gemma":0.02421234,"domain_scores_codex":[0.9952088,0.0007658199,0.001634867,0.000613358,0.001600067,0.0001770649],"domain_scores_gemma":[0.9921635,0.001153667,0.002581513,0.0005006696,0.003386125,0.0002144845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003873503,0.0001409304,0.3642508,0.003062779,0.00061991,0.0002313492,0.001023564,0.0009313392,0.000558413,0.004165113,0.5352418,0.08938664],"study_design_scores_gemma":[0.0001462974,0.0001139277,0.7250078,0.001525769,0.0002546149,0.0009374126,0.0009749649,0.00152682,0.0007662278,0.002372111,0.2662903,0.00008377607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0520811,0.008092423,0.006956851,0.0008632991,0.0009085228,0.000614468,0.8859038,0.001703843,0.04287573],"genre_scores_gemma":[0.1610888,0.01117023,0.0200084,0.0007619476,0.0007495218,0.002753906,0.7963116,0.0004916328,0.006663865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02272119,"threshold_uncertainty_score":0.05269831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695262866034923,"score_gpt":0.2777415721822062,"score_spread":0.260788943521857,"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."}}