{"id":"W2894223479","doi":"10.1016/j.chemgeo.2018.09.009","title":"Determination of the copper isotope composition of seawater revisited: A case study from the Mediterranean Sea","year":2018,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Seventh Framework Programme; Agence Nationale de la Recherche","keywords":"Geotraces; Seawater; Mediterranean sea; Copper; Oceanography; Mediterranean climate; Environmental chemistry; Photic zone; Transect; Environmental science; Chemistry; Geology; Phytoplankton; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001535011,0.00006193996,0.000138294,0.000011944,0.00005203617,0.000005295128,0.000186674,0.00005133519,0.001050573],"category_scores_gemma":[0.0000244025,0.00003128078,0.00003741985,0.00008921728,0.0001976837,0.00003408709,0.00004771502,0.00007610676,0.00002169383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001419952,"about_ca_system_score_gemma":0.000009764565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422732,"about_ca_topic_score_gemma":0.004665393,"domain_scores_codex":[0.9993273,0.0001373861,0.0002047894,0.0001230944,0.0001101321,0.00009732163],"domain_scores_gemma":[0.9994348,0.0001680734,0.00009337993,0.0002113337,0.00006756969,0.00002490254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006257246,0.00004796712,0.980034,0.00001799284,0.00001995874,0.00003681916,0.001248155,0.000001514012,0.00356133,0.000004622043,0.0005750145,0.01439005],"study_design_scores_gemma":[0.003836305,0.002648989,0.7463164,0.0001959038,0.0004279419,0.003211368,0.008342896,0.08307906,0.142277,0.002392199,0.006520921,0.0007510064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968396,0.00003192108,0.0000172885,0.000213213,0.0001337558,0.0002089583,0.00003334199,0.00000514253,0.002516777],"genre_scores_gemma":[0.9995263,0.000001161157,0.00004353205,0.0001716145,0.0001706333,0.000001308941,0.00005116246,0.000001305304,0.00003301798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337176,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645254634569734,"score_gpt":0.2298752403350615,"score_spread":0.2134226939893641,"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."}}