{"id":"W2168202231","doi":"10.1016/j.scitotenv.2010.01.058","title":"Historic brownfields and industrial activity in Kingston, Ontario: Assessing potential contributions to mercury contamination in sediment of the Cataraqui River","year":2010,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Preeclampsia Research Laboratories; U.S. Environmental Protection Agency","keywords":"Mercury (programming language); Sediment; Environmental science; Contamination; Surface runoff; Hydrology (agriculture); Geology; Ecology; Geomorphology","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":[0.0002938327,0.0001729165,0.0002217614,0.001029534,0.003223817,0.001229144,0.0008364764,0.0004076625,0.0008961714],"category_scores_gemma":[0.001006439,0.0003242942,0.0002348569,0.002355735,0.001298235,0.0003401409,0.0009340152,0.0002786769,0.000181776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01340037,"about_ca_system_score_gemma":0.01153211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9779763,"about_ca_topic_score_gemma":0.9956565,"domain_scores_codex":[0.9996744,0.00004283003,0.00002335888,0.00005674783,0.0001124449,0.00009008466],"domain_scores_gemma":[0.9992456,0.00009638864,0.0001583865,0.00003462712,0.0003198516,0.0001451084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001251495,0.00002168963,0.9882175,0.00004161778,0.00004267788,0.0003534022,0.00450333,0.0003109672,0.00169638,0.0001253181,0.0002633302,0.004298612],"study_design_scores_gemma":[0.000002485652,0.00001513171,0.9933661,0.000007915193,0.00001219094,0.0000473745,0.005226298,0.0001107378,0.0001775764,0.00001691897,0.001014026,0.000003214778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982578,0.00007776344,0.00005027536,0.00004775116,0.000001596116,0.000008892155,0.000319071,0.000002727943,0.001234187],"genre_scores_gemma":[0.9983383,0.0001118862,0.0001146302,0.00001658076,0.000001437241,0.000005642453,0.0002200047,0.00000303804,0.001188503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02202374,"threshold_uncertainty_score":0.09722698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286654291978324,"score_gpt":0.2430206647760279,"score_spread":0.2301541218562446,"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."}}