{"id":"W4247765244","doi":"10.32920/ryerson.14645916","title":"Modelling the fate of a larviciding chemical, methoprene, at drainage systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Outfall; Hydrology (agriculture); Environmental science; Structural basin; Storm; Drainage basin; Methoprene; Sump (aquarium); Water resource management; Geography; Environmental engineering; Ecology; Geology; Oceanography; Biology; Meteorology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000165065,0.0004084753,0.0002958237,0.0002768085,0.0005736945,0.001410725,0.0005183373,0.001133098,0.001935097],"category_scores_gemma":[0.0005812778,0.0003685879,0.0004490279,0.0002839237,0.0006046973,0.0005760679,0.0004087045,0.0004832117,0.0001759012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00323315,"about_ca_system_score_gemma":0.00216764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2213181,"about_ca_topic_score_gemma":0.1514842,"domain_scores_codex":[0.9999255,0.00001261392,0.00000341126,0.0000192602,0.00000954042,0.00002964451],"domain_scores_gemma":[0.9997796,0.0001026881,0.00003549767,0.000009039419,0.00004393514,0.00002915034],"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":[0.00002067201,0.00002516504,0.004810568,0.00001332865,0.000008487928,0.00003926971,0.00002251634,0.9918063,0.00140995,0.0006088321,0.0001513329,0.001083688],"study_design_scores_gemma":[0.00000827131,0.00002120592,0.001285217,0.00000190614,0.000005453744,0.000004596536,0.00003537187,0.9977816,0.0004674657,0.0001974481,0.0001875438,0.0000039366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857981,0.00008726442,0.008514029,0.0001949995,0.00001651697,0.00003563438,0.0005335914,0.00008115001,0.004738769],"genre_scores_gemma":[0.9937529,0.00009010135,0.0015314,0.00001478406,0.000004126661,0.00002185088,0.0002140367,0.00001511218,0.004355758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2213181,"threshold_uncertainty_score":0.4400598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429517828944067,"score_gpt":0.2433333287138101,"score_spread":0.2190381504243695,"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."}}