{"id":"W4285674991","doi":"10.36227/techrxiv.12249257.v1","title":"Modeling of Viral Aerosol Transmission and Detection","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Aerosol; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Virology; Computer science; Environmental science; Physics; Meteorology; Biology; Medicine; Telecommunications; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.00003782339,0.00009031882,0.0001314014,0.00002911567,0.00001418317,0.00001044496,0.00009090402,0.0001506728,0.00001466813],"category_scores_gemma":[0.000002084488,0.00009174681,0.0000458077,0.00003030887,0.000006696519,0.00001449701,0.00008658463,0.0002873045,0.00000101118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008519904,"about_ca_system_score_gemma":0.000005261444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002039707,"about_ca_topic_score_gemma":0.00000566151,"domain_scores_codex":[0.9996155,0.00001733076,0.0001606247,0.00009533251,0.00005780581,0.00005338692],"domain_scores_gemma":[0.999735,0.000005344908,0.00001308139,0.0001922381,0.00001349655,0.00004085948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006648456,0.000003492437,0.000001146901,0.0002167894,0.00002348722,2.777356e-7,0.0001308105,0.899977,0.06114262,0.00004331799,0.00001413015,0.03844031],"study_design_scores_gemma":[0.00007795217,0.000006710073,0.000002347894,0.0000562712,0.00001252836,5.763254e-7,0.000005473657,0.971963,0.02744837,0.0002352096,0.0001064438,0.00008509135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0260469,0.001662018,0.9691201,0.00004606552,0.00006485561,0.0001085234,9.89358e-7,0.0001590064,0.002791504],"genre_scores_gemma":[0.9905238,0.001458444,0.007943905,0.00001461081,0.00001648179,0.00000547583,0.000009993722,0.00001770203,0.000009649814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644768,"threshold_uncertainty_score":0.3741327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860500809060245,"score_gpt":0.2184491556510995,"score_spread":0.1998441475604971,"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."}}