{"id":"W4206492358","doi":"10.1063/5.0057100.6","title":"10.1063/5.0057100.6","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; Respirator; Exhalation; Coronavirus disease 2019 (COVID-19); Materials science; Mathematics; Meteorology; Statistics; Physics; 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":[0.001155919,0.0018519,0.002244129,0.002585053,0.001983739,0.005147578,0.005547983,0.006161033,0.867276],"category_scores_gemma":[0.001724665,0.0009743678,0.001521612,0.00416327,0.001544774,0.003517248,0.005662797,0.003576158,0.8441716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288396,"about_ca_system_score_gemma":0.0008262903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176869,"about_ca_topic_score_gemma":0.001972164,"domain_scores_codex":[0.9988832,0.00009635322,0.00005774622,0.0002588848,0.000509128,0.0001946842],"domain_scores_gemma":[0.9992036,0.0001312585,0.00005294915,0.0002411255,0.0002174077,0.0001536472],"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":[0.0004189753,0.0004102369,0.001966495,0.002066937,0.0001411882,0.0007373613,0.0001853577,0.003214086,0.01525911,0.03029533,0.5679485,0.3773563],"study_design_scores_gemma":[0.00005647956,0.00004254978,0.0003689465,0.0001735338,0.00001845251,0.0002929605,0.00005609312,0.004630161,0.002533644,0.004447904,0.9873329,0.00004629239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003863784,0.007083526,0.0253157,0.002591687,0.003874398,0.0007855024,0.01711916,0.02011513,0.9192511],"genre_scores_gemma":[0.0468181,0.005741875,0.02121559,0.002441511,0.0007295217,0.001235813,0.03721913,0.005648237,0.8789502],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.132724,"threshold_uncertainty_score":0.1893147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111667176194354,"score_gpt":0.2629726274802103,"score_spread":0.2518559557182667,"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."}}