{"id":"W6958639627","doi":"10.6084/m9.figshare.26596874","title":"Additional file 7 of Tidal lung hysteresis to interpret PEEP-induced changes in compliance in ARDS patients","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tidal volume; Hysteresis; Compliance (psychology); ARDS; Lung; Pulmonary compliance","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":[0.001611306,0.001084797,0.001316393,0.001591255,0.0006246548,0.001464235,0.001597006,0.00134821,0.8430049],"category_scores_gemma":[0.04137383,0.0005675185,0.0009939617,0.002083025,0.000234235,0.001719723,0.0009667074,0.000965283,0.1591702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008199142,"about_ca_system_score_gemma":0.001327219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005540987,"about_ca_topic_score_gemma":0.008997602,"domain_scores_codex":[0.9990832,0.0001662644,0.0002369589,0.0001952242,0.0001948491,0.0001234642],"domain_scores_gemma":[0.9778886,0.01615821,0.001823775,0.001248073,0.002393164,0.0004881945],"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":[0.0006697449,0.0001361787,0.009489486,0.002728231,0.0000756925,0.0001257108,0.00006693487,0.0004891621,0.00006225333,0.0007716439,0.9694728,0.01591217],"study_design_scores_gemma":[0.01171753,0.0005690514,0.1097155,0.01010155,0.0004474645,0.001823559,0.0006666686,0.005660725,0.001548522,0.02692877,0.8304897,0.0003309537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004092737,0.00002715052,0.0003033539,0.0001661191,0.00002099373,0.0001273767,0.9968476,0.0003460487,0.001752079],"genre_scores_gemma":[0.03387785,0.0003013885,0.005981789,0.001427037,0.000321968,0.005140726,0.9275293,0.001801522,0.02361826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8430049,"threshold_uncertainty_score":0.2239343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019825914372918,"score_gpt":0.3221931785808248,"score_spread":0.220210587143533,"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."}}