{"id":"W4205115623","doi":"10.1063/5.0057100.1","title":"10.1063/5.0057100.1","year":2021,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aerosol; Filtration (mathematics); Environmental science; Face masks; Exhalation; Respirator; Coronavirus disease 2019 (COVID-19); Materials science; Mathematics; Statistics; Physics; Meteorology; Composite material","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001075438,0.001884545,0.002299363,0.002597043,0.001951921,0.005115406,0.005410052,0.005808047,0.847934],"category_scores_gemma":[0.001940531,0.0008657768,0.001365119,0.004525346,0.001438417,0.003983445,0.005515158,0.003554106,0.824809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434772,"about_ca_system_score_gemma":0.0008514337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713531,"about_ca_topic_score_gemma":0.001952379,"domain_scores_codex":[0.9988297,0.0001098575,0.00005365595,0.0002809891,0.0005274202,0.0001983014],"domain_scores_gemma":[0.9991661,0.0001394124,0.00005491649,0.0002478442,0.000238588,0.0001531366],"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":[0.0003712084,0.0003976747,0.001673837,0.001931843,0.0001205171,0.00062947,0.0001774604,0.003243466,0.01389997,0.03365293,0.5679848,0.3759168],"study_design_scores_gemma":[0.00004507681,0.00004162329,0.0003427063,0.0001750896,0.00001816307,0.000281765,0.00005510038,0.004808496,0.002311272,0.00539584,0.9864801,0.00004473516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003625479,0.007225062,0.02632575,0.002437287,0.003770047,0.0006806861,0.01409703,0.01820378,0.9236349],"genre_scores_gemma":[0.0519947,0.006822901,0.02252669,0.002318543,0.0008570364,0.001268969,0.03701816,0.005934978,0.871258],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.152066,"threshold_uncertainty_score":0.2169036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110754064261281,"score_gpt":0.2626918469621368,"score_spread":0.2515843063195239,"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."}}