{"id":"W3135991970","doi":"10.1063/5.0044445","title":"The novel Mechanical Ventilator Milano for the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of British Columbia; Arthur B. McDonald-Canadian Astroparticle Physics Research Institute; SGS (Canada); Snolab; Fluidigm (Canada); Canadian Nuclear Laboratories; Queen's University; McMaster University; Vanier College; Carleton University; TRIUMF","funders":"National Science Board; TRIUMF; Carleton University; Canada First Research Excellence Fund; National Science Foundation","keywords":"Mechanical ventilator; Coronavirus disease 2019 (COVID-19); Certification; Mechanical ventilation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Economic shortage; Physics; Medicine; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003823284,0.0001030078,0.0002089065,0.000008438239,0.0001825702,0.00001489046,0.0001600865,0.00005855553,0.00004038864],"category_scores_gemma":[0.0002864288,0.00005839552,0.0002371147,0.0001182438,0.0000697567,0.00003064125,0.00005970267,0.0001186333,0.000008233622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003490215,"about_ca_system_score_gemma":0.0004866268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004971399,"about_ca_topic_score_gemma":0.000005159528,"domain_scores_codex":[0.9991303,0.00001666108,0.0002245359,0.0001754457,0.0002511421,0.0002019111],"domain_scores_gemma":[0.9987587,0.0004230953,0.0000604552,0.0004695386,0.0001578504,0.0001303315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002061071,0.000169969,0.0009513597,0.0001045634,0.0001947016,0.000006178538,0.000160739,0.000004795992,0.9102639,0.07339367,0.006516078,0.008027932],"study_design_scores_gemma":[0.002033611,0.0002570254,0.0002158482,0.000023358,0.0003151027,0.00004107224,0.0003313338,0.001081302,0.2905748,0.01394813,0.6910548,0.0001236893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2082518,0.005420671,0.7669472,0.01344154,0.002385742,0.00216294,0.0002051027,0.000170347,0.001014662],"genre_scores_gemma":[0.9882092,0.0002658336,0.001925428,0.006557126,0.0009090067,0.000137417,0.0000473423,0.00004476145,0.001903879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7799574,"threshold_uncertainty_score":0.23813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004602278802477,"score_gpt":0.351288142546585,"score_spread":0.2508279146663372,"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."}}