{"id":"W4206202997","doi":"10.1063/5.0057100.4","title":"10.1063/5.0057100.4","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; Process engineering; Mathematics; Statistics; Physics; Meteorology; Engineering; 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":[0.001172125,0.001837237,0.002302615,0.002643636,0.002009477,0.005360244,0.005930235,0.006208851,0.8703336],"category_scores_gemma":[0.001727941,0.0009814056,0.001604246,0.004511367,0.001595171,0.003546583,0.005732255,0.003685895,0.8397604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586328,"about_ca_system_score_gemma":0.0009078766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208274,"about_ca_topic_score_gemma":0.00215098,"domain_scores_codex":[0.9988533,0.0001020884,0.00005797216,0.0002604962,0.0005247835,0.0002013946],"domain_scores_gemma":[0.9991958,0.0001273966,0.00005091462,0.000246255,0.0002298254,0.0001499903],"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":[0.0004094058,0.000406422,0.001942936,0.001989601,0.0001536271,0.0007328438,0.0001806337,0.003480691,0.01434702,0.03045314,0.5926737,0.35323],"study_design_scores_gemma":[0.00005556435,0.00003921288,0.0003704652,0.0001702749,0.00001890931,0.000269722,0.00005584463,0.004700879,0.002343665,0.004561191,0.98737,0.00004441851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003551934,0.006407789,0.02545425,0.00264831,0.003685496,0.0007772107,0.01691281,0.01967941,0.9208827],"genre_scores_gemma":[0.04342208,0.005276344,0.01998779,0.002385583,0.0007061494,0.001238177,0.03544495,0.005363964,0.886175],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1296664,"threshold_uncertainty_score":0.1849534,"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."}}