{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001223576,0.0004311011,0.0007125541,0.0002689788,0.0001026857,0.0003177878,0.00012991,0.0005045545,0.008407289],"category_scores_gemma":[0.0004234653,0.0003917501,0.0005231748,0.0003672872,0.0000597761,0.0002669089,0.0001105651,0.0005512582,0.009123389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155951,"about_ca_system_score_gemma":0.0001808907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006549937,"about_ca_topic_score_gemma":0.00005217275,"domain_scores_codex":[0.9979202,0.00003339121,0.0005165044,0.0005779099,0.0005515622,0.000400492],"domain_scores_gemma":[0.9985272,0.0001042384,0.0002208463,0.0007262797,0.0002142963,0.0002071249],"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":[0.0001813759,0.000338851,0.00006422326,0.0002397372,0.0002145639,0.0003351605,0.000004028401,0.000001434578,0.00001101208,0.000007542518,0.991483,0.007119103],"study_design_scores_gemma":[0.001279847,0.000426692,0.0007067518,0.0002431978,0.0002936648,0.0003844322,0.00001256759,0.00004832254,0.00001958358,0.0000189269,0.9961912,0.0003748072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009685117,0.0004164124,0.0001386972,0.00007641889,0.000844579,0.0004392053,0.9709546,0.0001501453,0.02688312],"genre_scores_gemma":[0.004022569,0.00004507487,0.00001352228,0.0004450477,0.001353768,0.00005206759,0.9725374,0.00004601023,0.02148454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006744296,"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."}}