{"id":"W4313825674","doi":"10.3390/w15020265","title":"Modelling Transport and Fate of Copper and Nickel across the South Saskatchewan River Using WASP—TOXI","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Global Water Futures","keywords":"Environmental science; Hydrology (agriculture); Sediment; STREAMS; Water quality; Weathering; Erosion; Nickel; Routing (electronic design automation); Environmental engineering; Geology; Geomorphology; Ecology; Chemistry; Geotechnical engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000450549,0.00007745634,0.00009041523,0.00000970218,0.0001528609,0.00001644695,0.00006628867,0.00003741978,0.0001133656],"category_scores_gemma":[5.22126e-7,0.00004339386,0.00002542322,0.00005225159,0.0003042316,0.0001045051,0.00008780002,0.00005940164,0.00005612937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001778796,"about_ca_system_score_gemma":0.000003743101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174938,"about_ca_topic_score_gemma":0.0001211449,"domain_scores_codex":[0.9992836,0.00003848062,0.0001383547,0.0001555526,0.0001687532,0.0002153233],"domain_scores_gemma":[0.999808,0.000008992171,0.00002326078,0.0001135864,0.00000350284,0.00004271046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005435326,0.00004128659,0.2108966,0.00007113363,0.00004811151,0.000009278018,0.4426343,0.230575,0.114535,0.000030016,0.0001454295,0.0009594968],"study_design_scores_gemma":[0.002660191,0.0001511776,0.311343,0.0001142732,0.0001623198,0.00003307304,0.03307199,0.37227,0.2628872,0.003974538,0.01216964,0.001162563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982046,0.000005531081,0.001143652,0.0003560101,0.00003551111,0.00008482856,0.00002799068,0.00001710592,0.0001247975],"genre_scores_gemma":[0.9983002,0.000008173918,0.0003359188,0.0001054364,0.00001109954,0.000002222248,0.000004656795,0.000007155146,0.001225124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4095623,"threshold_uncertainty_score":0.264455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04700492812411936,"score_gpt":0.2741794635503512,"score_spread":0.2271745354262319,"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."}}