{"id":"W3159425092","doi":"10.1097/cce.0000000000000410","title":"Frugal Innovation: Enabling Mechanical Ventilation During Coronavirus Disease 2019 Pandemic in Resource-Limited Settings","year":2021,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Stockpile; Economic shortage; Pandemic; Resource (disambiguation); Mechanical ventilation; Coronavirus disease 2019 (COVID-19); Business; Interdependence; Medicine; Computer science; Disease; Infectious disease (medical specialty); Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.01057602,0.000504203,0.0003909451,0.0005951137,0.004923314,0.006249398,0.002619255,0.01599202,0.008095135],"category_scores_gemma":[0.04161522,0.0001895642,0.00113962,0.0005356179,0.008122965,0.007862384,0.005169425,0.01298797,0.001749968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005533131,"about_ca_system_score_gemma":0.01941051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139705,"about_ca_topic_score_gemma":0.03493096,"domain_scores_codex":[0.9895762,0.005233267,0.0005653535,0.0007771995,0.002459864,0.001388149],"domain_scores_gemma":[0.9681392,0.02176522,0.001681094,0.0007434049,0.00491712,0.002753931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007193505,0.00005284185,0.0009584491,0.001787168,0.00003706502,0.0009334972,0.01612163,0.0004398256,0.0006508729,0.1462641,0.747905,0.08477765],"study_design_scores_gemma":[0.00001150982,0.00004653112,0.0005714645,0.00194758,0.00001426175,0.0002037428,0.003993559,0.0001684451,0.0002595736,0.0167922,0.9759536,0.00003741495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001856551,0.01535801,0.00270217,0.9416618,0.0184591,0.00003591927,0.00005816233,0.00006305266,0.01980519],"genre_scores_gemma":[0.08711175,0.04740534,0.007436655,0.8008952,0.03027445,0.0002057851,0.0001211556,0.0002127631,0.02633687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01599202,"threshold_uncertainty_score":0.05593204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1841309489742522,"score_gpt":0.4364150977823308,"score_spread":0.2522841488080786,"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."}}