{"id":"W3195762550","doi":"10.1002/ppul.25626","title":"In silico numerical simulation of ventilator settings during high‐frequency ventilation in preterm infants","year":2021,"lang":"en","type":"article","venue":"Pediatric Pulmonology","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Deutsches Zentrum für Lungenforschung; Bundesministerium für Wissenschaft und Forschung","keywords":"High-frequency ventilation; Medicine; Ventilation (architecture); Mechanical ventilation; Gestational age; Bronchopulmonary dysplasia; Respiratory physiology; Intensive care medicine; Artificial ventilation; Intermittent mandatory ventilation; Anesthesia; Lung; Pregnancy; Respiratory disease; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086172,0.0001156738,0.0003770066,0.0006035802,0.00002493136,0.000004568,0.00008608778,0.0002179854,0.0001725039],"category_scores_gemma":[0.001099153,0.0001304181,0.00005198975,0.001059955,0.00003305974,0.0001554832,0.00008608439,0.0004286407,0.00003032821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530811,"about_ca_system_score_gemma":0.0004377751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151939,"about_ca_topic_score_gemma":0.00002737865,"domain_scores_codex":[0.9981028,0.0001483185,0.000666626,0.0003648802,0.0003000061,0.0004173226],"domain_scores_gemma":[0.9990702,0.0002346985,0.0001700132,0.0002810416,0.000131603,0.0001124744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006158547,0.0002556015,0.9780242,0.001050978,0.00000690004,0.0007149809,0.0002149949,0.0007163713,0.01466396,0.00003230053,0.00000418845,0.003699696],"study_design_scores_gemma":[0.001600204,0.000123785,0.9896579,0.00004268022,0.00001662169,0.00003338431,0.00001453141,0.002232427,0.005765744,0.0002343847,0.0001833777,0.00009494671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969357,0.002018429,0.00004039084,0.0003718256,0.0001696624,0.0003686555,0.00000634237,0.00001898325,0.0000700255],"genre_scores_gemma":[0.9990746,0.0002428549,0.0002631701,0.0001050201,0.0001885288,0.00003304733,0.00001990988,0.00001909243,0.00005382342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163374,"threshold_uncertainty_score":0.5318297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186226694662216,"score_gpt":0.3416226607292202,"score_spread":0.3229999912629986,"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."}}