{"id":"W3128759527","doi":"10.1016/j.talanta.2021.122170","title":"Revised application of copper ion selective electrode (Cu-ISE) in marine waters: A new meta-calibration approach","year":2021,"lang":"en","type":"article","venue":"Talanta","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Hrvatska Zaklada za Znanost","keywords":"Chemistry; Seawater; Copper; Analytical Chemistry (journal); Ion selective electrode; Calibration; Dissolution; Artificial seawater; Dissolved organic carbon; Ion; Environmental chemistry; Selectivity; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000703166,0.000121347,0.000300258,0.00002814383,0.00001224162,0.000009206661,0.00007872556,0.00009908117,0.0001162428],"category_scores_gemma":[0.00007440726,0.0001069432,0.00009874554,0.0003132562,0.00001572048,0.00007285952,0.00003647132,0.000172882,0.000007798392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005190382,"about_ca_system_score_gemma":0.00003198745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007630452,"about_ca_topic_score_gemma":0.000005659194,"domain_scores_codex":[0.9991605,0.00002449889,0.0002587196,0.0002522932,0.0001332492,0.0001706902],"domain_scores_gemma":[0.9996052,0.00004412876,0.0000516916,0.0001926172,0.00004070952,0.00006562444],"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":[0.00005518154,0.00008817687,0.0007340044,0.0001164662,0.0001544191,0.000003205359,0.0001115855,0.001582124,0.9956297,0.001063899,0.000216788,0.0002444849],"study_design_scores_gemma":[0.0003450872,0.00001044643,0.0001740136,0.000009314904,0.0001779366,0.00001027491,0.00003033763,0.07589668,0.9226578,0.0003232316,0.0002412499,0.00012364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352778,0.0002128092,0.03780801,0.0005367184,0.00001768254,0.000325198,0.00001259178,0.0001329939,0.02567623],"genre_scores_gemma":[0.9967785,0.00002257504,0.0008642647,0.00004050076,0.00006990659,0.00001575731,0.0002667076,0.00001464309,0.001927183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07431456,"threshold_uncertainty_score":0.4361019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801585620927627,"score_gpt":0.2306854403621775,"score_spread":0.2126695841529013,"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."}}