{"id":"W2034667720","doi":"10.1016/j.envpol.2012.12.001","title":"Steady-state mass balance model for mercury in the St. Lawrence River near Cornwall, Ontario, Canada","year":2012,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Lawrence River Institute of Environmental Sciences; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment","keywords":"Mercury (programming language); Environmental science; Hydrology (agriculture); Environmental protection; Geography; Geology","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":[0.0002728204,0.0004330414,0.0006870325,0.0006423652,0.001903503,0.001641312,0.002425989,0.001363005,0.006706427],"category_scores_gemma":[0.0009178455,0.0005335746,0.0005791489,0.0008451126,0.001107331,0.0007708696,0.0007885506,0.0006373704,0.0005395424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01882408,"about_ca_system_score_gemma":0.01967038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748173,"about_ca_topic_score_gemma":0.9649756,"domain_scores_codex":[0.9998556,0.00001707679,0.000007108028,0.00003322387,0.00003926551,0.00004763286],"domain_scores_gemma":[0.9996599,0.00006411577,0.00002574282,0.000009454352,0.0002094369,0.00003146883],"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":[0.00005506582,0.00002482001,0.006117908,0.00003939796,0.00002019162,0.00007530639,0.0001152147,0.9832286,0.0006110977,0.005015519,0.002570649,0.002126296],"study_design_scores_gemma":[0.00005855781,0.00002598021,0.00514528,0.00001577888,0.0000262991,0.00001006066,0.0002163452,0.9897482,0.0002008546,0.001371169,0.003151087,0.00003036468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8266637,0.0006625445,0.02933056,0.002687819,0.00013296,0.0002365019,0.01952321,0.0006148468,0.1201478],"genre_scores_gemma":[0.9737413,0.0001982658,0.002450136,0.0001075478,0.00001228888,0.00009286294,0.002288605,0.00004101333,0.02106794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02518272,"threshold_uncertainty_score":0.1365789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621401308052703,"score_gpt":0.2185197311780909,"score_spread":0.2023057180975639,"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."}}