{"id":"W2891801276","doi":"10.1021/acs.est.8b02576","title":"Organophosphate Ester Transport, Fate, and Emissions in Toronto, Canada, Estimated Using an Updated Multimedia Urban Model","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; McLean Foundation","keywords":"Polybrominated diphenyl ethers; Environmental chemistry; Phosphate; Organophosphate; Chemistry; Environmental science; Plasticizer; Triphenyl phosphate; Surface water; Environmental engineering; Pollutant; Pesticide; Fire retardant; Organic 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":[0.0001776249,0.0008804678,0.0002699768,0.0004474253,0.0007493318,0.0006337735,0.0007765763,0.0005522938,0.001431034],"category_scores_gemma":[0.0003605553,0.0004041175,0.0004574005,0.000914686,0.0004092254,0.0003520717,0.0002908336,0.0002738459,0.0001558649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0196993,"about_ca_system_score_gemma":0.006734526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702102,"about_ca_topic_score_gemma":0.9552959,"domain_scores_codex":[0.9999009,0.00001396214,0.000004790771,0.00002749903,0.00001961275,0.00003319801],"domain_scores_gemma":[0.9997941,0.00004631241,0.0000312816,0.00001058243,0.00009343139,0.00002444035],"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":[0.0001445196,0.00003672637,0.02956125,0.00004804488,0.00005169809,0.0001421184,0.00006347577,0.9635991,0.001714519,0.0006044208,0.0008473729,0.003186706],"study_design_scores_gemma":[0.00006005408,0.00005309447,0.02470312,0.00001471164,0.0000846866,0.00002063253,0.0001445668,0.971563,0.001138829,0.000190557,0.001994573,0.0000321607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894097,0.0001790723,0.001700057,0.0001184491,0.000005028782,0.00003414361,0.004263503,0.00009064157,0.004199534],"genre_scores_gemma":[0.9943398,0.0002122342,0.001149342,0.00001806461,0.000002073872,0.00002636075,0.002238193,0.0000143281,0.001999789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02978981,"threshold_uncertainty_score":0.1429291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009186254549734249,"score_gpt":0.2399267711407519,"score_spread":0.2307405165910176,"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."}}