{"id":"W4389831176","doi":"10.21203/rs.3.rs-3695998/v1","title":"Measuring source control efficacy of different fitted masks for sub-micron aerosols","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Filtration (mathematics); Particle (ecology); Particle size; Materials science; Range (aeronautics); Aerosol; Chemistry; Composite material; Mathematics; Statistics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007943549,0.0004354145,0.0003295587,0.0002915476,0.0001406183,0.0004928095,0.0002787803,0.0004356806,0.0009527762],"category_scores_gemma":[0.001920595,0.000123864,0.000302007,0.0001426836,0.0002202858,0.0004633116,0.0003328336,0.0003010133,0.0002293776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629541,"about_ca_system_score_gemma":0.0001765484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007189391,"about_ca_topic_score_gemma":0.0004169098,"domain_scores_codex":[0.9991934,0.0001740779,0.00007068225,0.0001488612,0.000332484,0.0000805594],"domain_scores_gemma":[0.9987648,0.0005475506,0.0002306032,0.0001106683,0.0002931333,0.00005326541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004300067,0.00009471053,0.001664934,0.0000764998,0.00001813857,0.00002331653,0.00008515762,0.0003495577,0.9910995,0.0000444648,0.00003565107,0.00607796],"study_design_scores_gemma":[0.000005739123,0.0009763765,0.005987909,0.000005605107,0.00002145936,0.00003897017,0.00003044503,0.001394168,0.9912465,0.00001643105,0.0002678543,0.000008414544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942906,0.0007506103,0.004320859,0.00001942,0.00002309286,0.00003545535,0.00009270864,0.00005833471,0.0004089682],"genre_scores_gemma":[0.9939855,0.0003034731,0.004844053,0.00003154981,0.00001135012,0.00002733579,0.0001272548,0.00003093433,0.0006385439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009527762,"threshold_uncertainty_score":0.004200995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437636463220348,"score_gpt":0.3961454470387502,"score_spread":0.2523818007167153,"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."}}