{"id":"W4388962143","doi":"10.2139/ssrn.4642948","title":"Urban-Use Pesticides in Stormwater Ponds and Their Accumulation in Biofilms","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater; Pesticide; Environmental science; Biofilm; Stormwater management; Environmental engineering; Water resource management; Environmental planning; Environmental chemistry; Surface runoff; Chemistry; Geology; Ecology; Biology; Bacteria","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002467259,0.0002357276,0.0002488736,0.0002230616,0.00007958845,0.0001377504,0.0002469951,0.0002099679,0.0001016892],"category_scores_gemma":[0.00004473612,0.0001904156,0.00006592592,0.0001842789,0.00008007503,0.0003030505,0.0004059914,0.002529779,0.00006884504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251324,"about_ca_system_score_gemma":0.000282369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440254,"about_ca_topic_score_gemma":0.02202249,"domain_scores_codex":[0.9973546,0.0002869082,0.0004466122,0.0003519816,0.00023244,0.00132746],"domain_scores_gemma":[0.9994729,0.00007948068,0.0001791495,0.000189155,0.00000606766,0.00007330347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000941345,0.000176949,0.952363,0.00003475928,0.00007338072,0.00002324009,0.005705835,0.02698293,0.00292604,0.004053132,0.000383836,0.007182769],"study_design_scores_gemma":[0.0007587548,0.0001284028,0.8442739,0.0001426881,0.00001527312,0.0000693526,0.001008156,0.003993815,0.0002940679,0.147903,0.000942028,0.0004705931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968982,0.0002363031,0.0008517132,0.001485315,0.0002194731,0.000201896,0.0000106507,0.00002756028,0.0000688526],"genre_scores_gemma":[0.9965787,0.001480835,0.00007366668,0.00008870893,0.00008244047,0.00001373344,0.00002171541,0.00002343495,0.001636795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1438498,"threshold_uncertainty_score":0.9997714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05719925867143998,"score_gpt":0.3051616651132624,"score_spread":0.2479624064418224,"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."}}