{"id":"W2568988646","doi":"10.1016/j.scitotenv.2016.12.171","title":"Spatial-temporal and multi-media variations of polycyclic aromatic hydrocarbons in a highly urbanized river from South China","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Shenzhen Municipal Science and Technology Innovation Council; National Natural Science Foundation of China","keywords":"Estuary; Environmental science; Sediment; Environmental chemistry; Pollution; Pollutant; Particulates; Hydrology (agriculture); Surface runoff; Oceanography; Chemistry; Geology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000202653,0.0002617612,0.0002806363,0.0008791764,0.0006720309,0.0006329957,0.0004060844,0.0003906102,0.0006818459],"category_scores_gemma":[0.0001968533,0.0002983248,0.0004659611,0.001372206,0.0004488154,0.0004302184,0.0005730371,0.0002542039,0.00009552362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112101,"about_ca_system_score_gemma":0.001130383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1408588,"about_ca_topic_score_gemma":0.1942831,"domain_scores_codex":[0.999835,0.00001532802,0.00001719702,0.00005705493,0.00003213518,0.00004324418],"domain_scores_gemma":[0.9997777,0.00003483513,0.00005787758,0.00001516858,0.00006557402,0.00004875901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059267,0.00006096148,0.9895338,0.00002055754,0.00009739406,0.000432751,0.0008485408,0.0004717523,0.005730229,0.00009788216,0.0001463103,0.002453906],"study_design_scores_gemma":[0.000001823765,0.00001040104,0.9984618,0.000001295765,0.00001947789,0.00003901997,0.0006386891,0.0005110166,0.0001569453,0.00001643491,0.0001381443,0.000004840936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995456,0.00002241454,0.00004582349,0.00002417756,0.000001566149,0.000002092732,0.0001789728,0.000002652003,0.0001766322],"genre_scores_gemma":[0.9992266,0.00003187026,0.00005188161,0.00001043491,0.000004283042,0.000005311183,0.0002725383,0.000001137668,0.0003959626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1408588,"threshold_uncertainty_score":0.2800778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009679926223838833,"score_gpt":0.2061569827779118,"score_spread":0.196477056554073,"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."}}