{"id":"W4415235545","doi":"10.21203/rs.3.rs-7774650/v1","title":"Mechanistic modelling of in-sewer viral fate and transport ofSARS-CoV-2 to enhance wastewater disease surveillancestrategies","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; York University; Public Health Agency of Canada","funders":"","keywords":"Population; Wastewater; Sampling (signal processing); Sedimentation; Sewage treatment; Waterborne diseases; Process (computing)","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":[0.0006152413,0.0002275917,0.0004044519,0.000473338,0.00003814356,0.00006869763,0.0002301681,0.0001601766,0.000005872421],"category_scores_gemma":[0.00001801313,0.0002175484,0.0000597593,0.0002506192,0.00003468662,0.00008559387,0.0001524725,0.0004550833,0.000003777796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009103673,"about_ca_system_score_gemma":0.0001089214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006304086,"about_ca_topic_score_gemma":0.0008296707,"domain_scores_codex":[0.9982157,0.0001131561,0.0004208248,0.0004157696,0.0004209662,0.0004136038],"domain_scores_gemma":[0.9992256,0.00005449773,0.00002689839,0.0003849906,0.0002040903,0.0001038924],"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":[0.00006127263,0.00001779021,0.0009569107,0.006098588,0.00002343062,0.00002553875,0.0008626397,0.9908186,0.0007614568,0.0002414361,0.00004686855,0.00008547762],"study_design_scores_gemma":[0.0002652531,0.00007332206,0.002134919,0.00466251,0.00001557908,5.420389e-7,0.0002657742,0.9631196,0.02498413,0.003741846,0.0002054094,0.0005311223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032493,0.001092739,0.09253965,0.00004734144,0.0003097932,0.001132079,0.0003706627,0.00009540357,0.001163045],"genre_scores_gemma":[0.9982493,0.0003873293,0.0006308572,0.00000246945,0.00005387849,0.0001682077,0.00008968528,0.00003092986,0.0003873601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.095,"threshold_uncertainty_score":0.8871365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04895864544510352,"score_gpt":0.3292027190667406,"score_spread":0.2802440736216371,"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."}}