{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001235129,0.0004348212,0.0007179007,0.0002711763,0.0001036051,0.0003202942,0.0001311689,0.0005086018,0.008906743],"category_scores_gemma":[0.0004280515,0.0003953105,0.000527446,0.0003703567,0.00006041695,0.0002688144,0.000111572,0.0005569515,0.009381354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573497,"about_ca_system_score_gemma":0.0001825016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006486718,"about_ca_topic_score_gemma":0.00005237652,"domain_scores_codex":[0.9979032,0.00003375473,0.000520597,0.0005824444,0.0005562362,0.0004037895],"domain_scores_gemma":[0.9985154,0.0001052301,0.0002227782,0.000731938,0.0002156913,0.0002089955],"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":[0.0001825298,0.0003396678,0.00006288246,0.0002403429,0.0002167531,0.0003369111,0.000004027736,0.000001407954,0.00001117024,0.000007346365,0.9913734,0.007223561],"study_design_scores_gemma":[0.001280767,0.0004292836,0.0006921993,0.0002442818,0.0002961176,0.0003879323,0.00001268219,0.00005001867,0.00001995297,0.00001900712,0.9961895,0.0003782037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009651938,0.0004164781,0.0001362642,0.00007727597,0.0008343571,0.0004419724,0.9704343,0.0001512951,0.02741154],"genre_scores_gemma":[0.004018544,0.00004453723,0.00001333424,0.0004419191,0.001360215,0.00005257561,0.9717336,0.00004645367,0.02228886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006845358,"threshold_uncertainty_score":0.9998499,"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."}}