{"id":"W4400947382","doi":"10.1371/journal.pone.0305842","title":"Effectiveness of a suction device for containment of pathogenic aerosols and droplets","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute; University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suction; Coronavirus disease 2019 (COVID-19); Aerosol; Environmental science; Airborne transmission; Volume (thermodynamics); Particle (ecology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Plume; Simulation; Computer science; Materials science; Meteorology; Medicine; Telecommunications; Physics; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005710919,0.000521782,0.0005047329,0.0004718715,0.0003701963,0.0006040182,0.0005925109,0.0005821967,0.001373908],"category_scores_gemma":[0.001643053,0.0001569913,0.0006377681,0.0001280108,0.0003620196,0.0006383729,0.0004936132,0.0003278064,0.0002952447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235422,"about_ca_system_score_gemma":0.0003695646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003372089,"about_ca_topic_score_gemma":0.0003245481,"domain_scores_codex":[0.9991934,0.0001679843,0.00009200979,0.0001057657,0.0003716045,0.00006925117],"domain_scores_gemma":[0.9986975,0.0006594025,0.0001861321,0.0001061349,0.000250036,0.0001007781],"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":[0.001956867,0.0007941113,0.0121317,0.001112974,0.000115309,0.000562506,0.0002436774,0.001209964,0.8774154,0.0002416857,0.001152754,0.1030631],"study_design_scores_gemma":[0.0001795613,0.01886885,0.04128654,0.0001605147,0.0003399182,0.0018322,0.0003981178,0.01194312,0.9155925,0.0001441055,0.009166197,0.00008845395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847136,0.004578057,0.008436958,0.0002351894,0.0003099243,0.0002227198,0.0001827743,0.000210573,0.001110244],"genre_scores_gemma":[0.989283,0.0009232445,0.008354345,0.0001719533,0.00008364494,0.00007872025,0.0002070019,0.00001895147,0.0008791935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001373908,"threshold_uncertainty_score":0.004596233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013138176155911,"score_gpt":0.2709983446410338,"score_spread":0.2408669628794747,"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."}}