{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001223464,0.0004310893,0.0007124785,0.0002690007,0.0001026905,0.0003177765,0.0001299153,0.0005045542,0.008429005],"category_scores_gemma":[0.0004234385,0.0003917514,0.0005231465,0.0003673036,0.00005977371,0.0002669017,0.000110564,0.0005512589,0.009150457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559801,"about_ca_system_score_gemma":0.0001809158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006548534,"about_ca_topic_score_gemma":0.00005271075,"domain_scores_codex":[0.9979202,0.00003338965,0.0005164726,0.0005778866,0.0005515357,0.0004004751],"domain_scores_gemma":[0.9985272,0.000104232,0.0002208365,0.0007262661,0.0002142894,0.0002071288],"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":[0.0001813607,0.0003366206,0.00006619721,0.0002397077,0.0002117933,0.0003349414,0.000004041363,0.000001434309,0.00001084736,0.000007488994,0.9915581,0.007047495],"study_design_scores_gemma":[0.001272166,0.0004265006,0.0007222777,0.0002430928,0.0002936714,0.0003843413,0.00001260366,0.00004834118,0.00001934118,0.00001893689,0.9961839,0.0003748159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009735578,0.0004150236,0.0001387489,0.000076658,0.0008446457,0.0004392294,0.9710705,0.0001501523,0.02676766],"genre_scores_gemma":[0.004134612,0.00004510608,0.00001352004,0.0004450777,0.001357691,0.00005207176,0.9726647,0.00004601621,0.02124126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006672679,"threshold_uncertainty_score":0.9998534,"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."}}