{"id":"W4412725334","doi":"10.1002/wer.70150","title":"An Urban Stormwater Contaminant Signature: Defining Priority Contaminants for Urban Stormwater Research","year":2025,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Environment; Agriculture and Agri-Food Canada; Ministry of the Environment, Conservation and Parks; University of Waterloo","funders":"Government of Ontario","keywords":"Stormwater; Environmental science; Surface runoff; Contamination; Urban runoff; Biota; Aquatic ecosystem; Environmental chemistry; Environmental engineering; Ecology; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004539231,0.0004363797,0.000379039,0.001711044,0.0008676692,0.001291443,0.0005001389,0.0003202109,0.0008451729],"category_scores_gemma":[0.000730074,0.000127434,0.0001281664,0.003342672,0.0007401356,0.0005583732,0.0009448644,0.0002259244,0.0001120454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00351143,"about_ca_system_score_gemma":0.0101962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2967524,"about_ca_topic_score_gemma":0.6563967,"domain_scores_codex":[0.9997128,0.00003928889,0.00001590829,0.00003969322,0.0001173484,0.00007503657],"domain_scores_gemma":[0.999377,0.00004192007,0.000172413,0.00001772054,0.0003091256,0.0000819224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002844368,0.000103335,0.711487,0.001306063,0.00006212721,0.0006768071,0.00298848,0.00381853,0.0635766,0.003305909,0.005893884,0.2064968],"study_design_scores_gemma":[0.00001578778,0.0002632025,0.9330492,0.0003010776,0.00008719928,0.0002727935,0.0123828,0.004851729,0.01212868,0.003113705,0.03348924,0.00004457077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746516,0.003768668,0.009556492,0.002066274,0.00002711612,0.0002868186,0.001647131,0.0001032761,0.007892666],"genre_scores_gemma":[0.9773571,0.005351569,0.01331914,0.0003635992,0.00002352682,0.00008354086,0.001194274,0.00002618861,0.002280978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2967524,"threshold_uncertainty_score":0.5900501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672416698687121,"score_gpt":0.345247648188747,"score_spread":0.2985234812018758,"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."}}