{"id":"W4364375122","doi":"10.3390/w15081483","title":"Geochemical Equilibrium Modelling of the Aqueous Speciation of Select Trace Elements in the Great Lakes","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic algorithm; Trace element; Alkalinity; Aqueous solution; Environmental chemistry; Chemistry; Salinity; Water quality; Chloride; Trace metal; Environmental science; Geology; Geochemistry; Metal; Ecology; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002190108,0.0005321433,0.0003714433,0.0005227756,0.0004000013,0.0008683091,0.0008377148,0.001108351,0.001110762],"category_scores_gemma":[0.0006571261,0.0004288392,0.0008137941,0.0004901217,0.0004146227,0.0005536692,0.0005865943,0.0003280612,0.0001578665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685596,"about_ca_system_score_gemma":0.0014819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1370562,"about_ca_topic_score_gemma":0.05786299,"domain_scores_codex":[0.9999064,0.00001946621,0.000007651963,0.00002850184,0.00001578109,0.00002219048],"domain_scores_gemma":[0.9998525,0.00006496219,0.00001671759,0.000008034801,0.000045191,0.00001258189],"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":[0.0000341805,0.00001877631,0.004495987,0.00001935153,0.0000256174,0.00005631114,0.0000491722,0.9898289,0.003553784,0.0006495595,0.0001011891,0.001167257],"study_design_scores_gemma":[0.00001453283,0.00001429153,0.001328043,0.000001588262,0.000006721677,0.000006612918,0.00003471553,0.9973263,0.0007359532,0.0002281799,0.0002974196,0.00000563933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886065,0.00008972386,0.006806081,0.0001534835,0.00000762058,0.00002704262,0.0006413177,0.0001387177,0.003529492],"genre_scores_gemma":[0.9945833,0.0001057444,0.003477961,0.00003288381,0.000003734184,0.00005103778,0.0004237622,0.00003312548,0.001288536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370562,"threshold_uncertainty_score":0.2725168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280032465619727,"score_gpt":0.2011792160931019,"score_spread":0.1783788914369046,"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."}}