{"id":"W4392811764","doi":"10.1186/s13054-024-04845-y","title":"Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques","year":2024,"lang":"en","type":"article","venue":"Critical Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Canada Research Chairs; University of Toronto; St. Michael's Hospital","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Instituto de Salud Carlos III; Fundació la Marató de TV3; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya","keywords":"Medicine; Flow (mathematics); Starvation; Intensive care medicine; Internal medicine; Mechanics","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":[0.000108129,0.0001546968,0.0001906309,0.000140621,0.0001432494,0.00009640887,0.00004618394,0.0001879087,0.0008702115],"category_scores_gemma":[0.0003406832,0.0001487188,0.0001128399,0.0002457314,0.00004066687,0.0001898929,0.00002480063,0.0003528765,0.00006748446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576775,"about_ca_system_score_gemma":0.00006030233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002541467,"about_ca_topic_score_gemma":0.000004216541,"domain_scores_codex":[0.9987739,0.0000557943,0.0002539299,0.0003264628,0.0003190153,0.0002708883],"domain_scores_gemma":[0.9993219,0.00006078581,0.0000129785,0.0001631566,0.0002790705,0.0001621237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000184614,0.00005494532,0.003169052,0.002591811,0.00003185111,0.0003759521,0.001097661,0.000006438,0.7849773,0.0001334935,0.0002930774,0.2070839],"study_design_scores_gemma":[0.0007743301,0.0009337468,0.01476536,0.0009564747,0.0003428168,0.00007743355,0.002872945,0.02649873,0.925634,0.0001574038,0.02653393,0.0004528078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413909,0.003046626,0.0510491,0.000473489,0.0004950978,0.0006219694,0.00003794902,0.001714816,0.001170023],"genre_scores_gemma":[0.9921699,0.000009147615,0.006663842,0.00009940399,0.00021093,0.00006091966,0.0004834874,0.00004863224,0.0002537259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.206631,"threshold_uncertainty_score":0.9528206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897455877672586,"score_gpt":0.2998088579392238,"score_spread":0.2808342991624979,"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."}}