{"id":"W3115915541","doi":"10.1155/2020/3842506","title":"Simulation-Based Rapid Development and Implementation of a Novel Barrier Enclosure for Use in COVID-19 Patients: The SplashGuard CG","year":2020,"lang":"en","type":"article","venue":"Critical Care Research and Practice","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Institut TransMedTech; Centre hospitalier universitaire Sainte-Justine; Ministère de la Santé et des Services sociaux; Ministère de la Santé; Tokyo Women's Medical University; Polytechnique Montréal","keywords":"Personal protective equipment; Medicine; Medical emergency; Intubation; Coronavirus disease 2019 (COVID-19); Respirator; Health care; Economic shortage; Pandemic; Infection control; Ventilation (architecture); Intensive care medicine; Mechanical ventilation; Surgery; Pathology; Mechanical engineering; Disease; Infectious disease (medical specialty); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009432803,0.0000555699,0.0001046716,0.00007372285,0.0001751887,0.00005673779,0.00002092315,0.0000452882,0.0000478787],"category_scores_gemma":[0.03316226,0.00004198,0.00002279724,0.0001612912,0.0001012837,0.0002678599,0.0000206906,0.0001631044,6.605819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005700875,"about_ca_system_score_gemma":0.0004163258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006067647,"about_ca_topic_score_gemma":0.00005371005,"domain_scores_codex":[0.9989675,0.0001888463,0.0002117206,0.000160497,0.0003159095,0.0001555325],"domain_scores_gemma":[0.984796,0.01384395,0.00003128448,0.00006004939,0.001068375,0.0002002912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04282472,0.002023549,0.5769718,0.01909105,0.0002853602,0.0000475923,0.04280547,0.002950203,0.002930419,0.01059409,0.001423109,0.2980527],"study_design_scores_gemma":[0.06452484,0.01371242,0.2306346,0.0006396422,0.0006556691,0.00001684177,0.08093485,0.1752315,0.006055849,0.0002761869,0.4265739,0.0007437238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758614,0.001828878,0.2613561,0.05529923,0.0001093555,0.004929523,0.0002281445,0.00003542182,0.0003519117],"genre_scores_gemma":[0.9951549,0.0000152333,0.002387403,0.002263004,0.00004575442,0.00007081517,0.00005432497,0.000005926074,0.000002663365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251508,"threshold_uncertainty_score":0.9749818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20251505062153,"score_gpt":0.5015647492082934,"score_spread":0.2990496985867634,"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."}}