{"id":"W2160268960","doi":"10.1071/en06047","title":"Mobile Voltammetric Laboratory for Ship-Board and Shore-Based Analyses of Dissolved Copper","year":2006,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Irish Research Council; National Research Council Canada; Higher Education Authority","keywords":"Seawater; Cathodic stripping voltammetry; Environmental chemistry; Copper; Trace metal; Environmental science; Context (archaeology); Chemistry; Voltammetry; Contamination; Anodic stripping voltammetry; Metal; Oceanography; Electrode; Ecology; Electrochemistry; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000402308,0.0001716139,0.0002349978,0.00001976686,0.00006246309,0.00001311984,0.000134304,0.0001205642,0.0004484859],"category_scores_gemma":[0.00001005028,0.0001653926,0.0001397792,0.0001391969,0.0001710696,0.00002754411,0.00003523252,0.00009931256,0.000003714793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000073562,"about_ca_system_score_gemma":0.00001354954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433926,"about_ca_topic_score_gemma":7.885571e-7,"domain_scores_codex":[0.9990267,0.000003250056,0.0002784387,0.0003265942,0.0001660718,0.0001989853],"domain_scores_gemma":[0.9994332,0.00008370804,0.0001253252,0.0002713618,0.000008060441,0.0000783732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000174538,0.0002647028,0.009526799,0.0001198947,0.00003861021,3.681213e-7,0.00000562583,0.00005418294,0.9892615,0.000002658066,0.0005073207,0.0002008597],"study_design_scores_gemma":[0.0004198239,0.00001266008,0.0004798639,0.00001024794,0.0001270429,4.463197e-7,0.00007340104,0.0006410921,0.9942679,0.00006671342,0.00372406,0.0001767625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966399,0.001547336,0.00024032,0.00002263643,0.000002118473,0.00006607806,0.0003401536,0.000024991,0.001116437],"genre_scores_gemma":[0.9975556,0.00003981268,0.0006615905,0.00002212408,0.00008135837,0.0001661927,0.0006572705,0.00002188087,0.0007941402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009046935,"threshold_uncertainty_score":0.6744516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007235024284681335,"score_gpt":0.2372149336635581,"score_spread":0.2299799093788767,"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."}}