{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009326693,0.0005757976,0.0005558891,0.000768114,0.002341395,0.0003455093,0.00181287,0.0004260919,0.002704065],"category_scores_gemma":[0.00009038601,0.0004342046,0.0001996171,0.0005645994,0.00182668,0.001008991,0.002322864,0.00155391,0.004156607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932926,"about_ca_system_score_gemma":0.00005493496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131788,"about_ca_topic_score_gemma":0.0002939056,"domain_scores_codex":[0.9898286,0.001457291,0.000788409,0.001989133,0.002551712,0.003384877],"domain_scores_gemma":[0.9969468,0.000376796,0.00007357657,0.002020507,0.00008620395,0.0004961169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008532,0.002328532,0.41983,0.000222234,0.0002729543,0.0001259325,0.009595134,0.0005179193,0.2600683,0.004726106,0.2961401,0.005319598],"study_design_scores_gemma":[0.002089861,0.001043173,0.09047513,0.00007107831,0.00006343274,0.000003345856,0.0008137695,0.001207214,0.06779923,0.00145736,0.834237,0.0007394404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760012,0.0004239213,0.005373726,0.00233725,0.0005782471,0.005102752,0.00009618184,0.0002015145,0.0098852],"genre_scores_gemma":[0.9352636,0.00005905298,0.001690433,0.0001903803,0.0001638371,0.001405644,0.0002527655,0.00009865242,0.06087558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5380969,"threshold_uncertainty_score":0.999811,"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."}}