{"id":"W2020343688","doi":"10.1016/s0380-1330(02)70598-4","title":"Chemical Speciation of Dissolved Copper in Saginaw Bay, Lake Huron, with Square Wave Anodic Stripping Voltammetry","year":2002,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Michigan Sea Grant, University of Michigan; University of Michigan","keywords":"Anodic stripping voltammetry; Copper; Stripping (fiber); Bay; Genetic algorithm; Voltammetry; Square wave; Square (algebra); Anode; Environmental chemistry; Environmental science; Oceanography; Chemistry; Geology; Materials science; Metallurgy; Electrode; Electrochemistry; Electrical engineering; Mathematics; Ecology; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010729,0.0001815084,0.0001267613,0.0005489415,0.0003695722,0.0003208135,0.0002928651,0.0002508132,0.0003980988],"category_scores_gemma":[0.0002143344,0.0001433685,0.0001040168,0.000540886,0.0002098749,0.000153348,0.0001804245,0.0001462092,0.00007342262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846745,"about_ca_system_score_gemma":0.0002641177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04397311,"about_ca_topic_score_gemma":0.06755833,"domain_scores_codex":[0.9999191,0.000009349571,0.00000685696,0.00001874972,0.00003611247,0.000009822497],"domain_scores_gemma":[0.9999266,0.00001092427,0.0000119125,0.000003174588,0.00003634877,0.00001110878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007237608,0.00007157955,0.08605461,0.000142319,0.00006735264,0.0003675245,0.001108948,0.0005578075,0.8946447,0.00006111544,0.0002987845,0.01590139],"study_design_scores_gemma":[0.00006309005,0.0008085021,0.6214709,0.00002641293,0.0001789178,0.0004941284,0.002001144,0.01120865,0.3603733,0.0001327217,0.003207396,0.00003498424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991967,0.0000836083,0.0001563727,0.00001359102,0.000003818921,0.000003928575,0.00008420226,0.00000952082,0.0004482376],"genre_scores_gemma":[0.9981358,0.0000959785,0.0006773645,0.00001718351,0.00000398417,0.000004078687,0.0001300351,0.000002348559,0.0009331913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04397311,"threshold_uncertainty_score":0.08743435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653510377593045,"score_gpt":0.2875886754447853,"score_spread":0.2410535716688549,"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."}}