{"id":"W6901946104","doi":"10.6084/m9.figshare.25414853","title":"Additional file 1 of Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deep learning; Flow (mathematics); Starvation; Ventilation (architecture); Missing data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001060954,0.001301839,0.001341934,0.001388374,0.0005414643,0.001543413,0.00172133,0.001340894,0.8260803],"category_scores_gemma":[0.02314091,0.0005006376,0.0008244817,0.001721534,0.0002409599,0.001111867,0.0008029041,0.001032975,0.1362797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006692608,"about_ca_system_score_gemma":0.001151452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004394403,"about_ca_topic_score_gemma":0.0072919,"domain_scores_codex":[0.9995028,0.00007721377,0.00007856791,0.0001697217,0.0001227331,0.00004899476],"domain_scores_gemma":[0.9859974,0.01098867,0.0005203465,0.0007202543,0.001536736,0.0002364973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009840728,0.0001857464,0.002669926,0.005191908,0.0001056193,0.0001585859,0.00004898859,0.001858012,0.0004969899,0.0007709321,0.9588429,0.02868635],"study_design_scores_gemma":[0.008135328,0.001117988,0.03463772,0.007228775,0.0004971002,0.001784576,0.0004289297,0.01885799,0.004664694,0.02554068,0.8967008,0.0004054063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004057169,0.00006490094,0.001335261,0.0000967978,0.00006970222,0.0001151287,0.9963468,0.0007579509,0.0008078532],"genre_scores_gemma":[0.01829875,0.0003594999,0.01254915,0.0007762329,0.000261748,0.002687289,0.9524598,0.002414473,0.01019305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8260803,"threshold_uncertainty_score":0.2480752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315842891112526,"score_gpt":0.2771175893838991,"score_spread":0.2539591604727738,"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."}}