{"id":"W3023917119","doi":"10.1097/cce.0000000000000118","title":"Personalized Ventilation to Multiple Patients Using a Single Ventilator: Description and Proof of Concept","year":2020,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; University of British Columbia; University Health Network","funders":"","keywords":"Exhalation; Ventilation (architecture); Tidal volume; Medicine; Mechanical ventilation; Respiratory system; Lung; Anesthesia; Respiratory physiology; Biomedical engineering; Internal medicine; Engineering; 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":[0.0000254991,0.00007949908,0.000164624,0.00004817805,0.00007568725,0.00002098863,0.0000228943,0.00005056865,0.00005876438],"category_scores_gemma":[0.0005367156,0.00008139036,0.00005139648,0.0001399627,0.00006692296,0.0002053425,0.00002353844,0.00005702546,0.000003490772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004011332,"about_ca_system_score_gemma":0.00005608265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001769649,"about_ca_topic_score_gemma":0.000002074697,"domain_scores_codex":[0.999282,0.00002422818,0.000210423,0.0001780112,0.0001929633,0.0001123929],"domain_scores_gemma":[0.9992372,0.00002298765,0.00002862175,0.00008251086,0.0004040925,0.000224589],"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":[0.001188607,0.001233093,0.05335577,0.001423652,0.000066187,0.00003026102,0.06667111,0.0001338698,0.8535489,0.00543229,0.0009774216,0.01593884],"study_design_scores_gemma":[0.004977147,0.006169716,0.006465608,0.0004480045,0.000627505,0.000007932248,0.03059004,0.007163228,0.9300452,0.0003336908,0.0126546,0.0005173536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095226,0.0001827265,0.08906798,0.0004307657,0.000130929,0.0005191041,0.00004666755,0.00003096735,0.00006829306],"genre_scores_gemma":[0.9941581,2.400858e-7,0.005186195,0.0004160698,0.00008123249,0.00002363272,0.0001132154,0.00001404748,0.00000730536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0846355,"threshold_uncertainty_score":0.3319003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428294834235295,"score_gpt":0.3274762169871905,"score_spread":0.184646733563661,"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."}}