{"id":"W4311213554","doi":"10.1002/cnm.3668","title":"Mixed‐integer quadratic programming approach for noninvasive estimation of respiratory effort profile during pressure support ventilation","year":2022,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Biomedical Engineering","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Solver; Elastance; Quadratic programming; Respiratory physiology; Ventilation (architecture); Integer programming; Mechanical ventilation; Computer science; Quadratic equation; Mathematics; Mathematical optimization; Control theory (sociology); Algorithm; Applied mathematics; Respiratory system; Medicine; Engineering; Anesthesia; Artificial intelligence; Internal medicine; Mechanical engineering","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":[0.00192907,0.000180095,0.0004267913,0.0005687674,0.000105382,0.0000281177,0.0002589034,0.0001080742,0.0001459495],"category_scores_gemma":[0.001070612,0.000169507,0.0002855195,0.0003008722,0.00003924076,0.0001472228,0.00009228766,0.0004753019,4.380583e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547214,"about_ca_system_score_gemma":0.0002118627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001942092,"about_ca_topic_score_gemma":4.013168e-8,"domain_scores_codex":[0.9976703,0.00007298634,0.0009020469,0.0002770392,0.0007572854,0.0003203511],"domain_scores_gemma":[0.9988763,0.0002359808,0.0003293148,0.0001265554,0.0002337021,0.0001981941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005264063,0.003069667,0.002947307,0.003413072,0.001947824,0.0003515039,0.001827029,0.2477333,0.2740697,0.003497953,0.001064452,0.4548141],"study_design_scores_gemma":[0.005265939,0.002365959,0.001580049,0.0002460105,0.0002466818,0.0009719083,0.0005221635,0.8409802,0.06119738,0.0003601957,0.08585574,0.0004077698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01611659,0.000113821,0.9807256,0.000111153,0.001853114,0.0009739429,0.00004003656,0.00004014087,0.00002564989],"genre_scores_gemma":[0.2226265,0.000002163344,0.7759201,0.00006630416,0.000355824,0.0006962818,0.0001509914,0.00004612019,0.0001357668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5932469,"threshold_uncertainty_score":0.6912295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770759573477094,"score_gpt":0.3745464176321039,"score_spread":0.3368388218973329,"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."}}