{"id":"W2040825740","doi":"10.1016/j.epsl.2008.07.026","title":"The copper isotope geochemistry of rivers and the oceans","year":2008,"lang":"en","type":"article","venue":"Earth and Planetary Science Letters","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Natural Environment Research Council; Leverhulme Trust","keywords":"Seawater; Estuary; Particulates; Geology; Salinity; Isotope; Oceanography; Environmental chemistry; Copper; Dissolved organic carbon; Geochemistry; Hydrology (agriculture); Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001765129,0.0001329849,0.0002123787,0.00116201,0.000552158,0.0008699081,0.0003041983,0.0003499972,0.0006954322],"category_scores_gemma":[0.0005133416,0.0002264288,0.0001002761,0.001401266,0.0008306052,0.0005582689,0.0003635346,0.0002391244,0.0001135093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797485,"about_ca_system_score_gemma":0.0007570606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03497934,"about_ca_topic_score_gemma":0.03678028,"domain_scores_codex":[0.9998794,0.00002079241,0.00000529108,0.00003361393,0.00002681362,0.00003416288],"domain_scores_gemma":[0.9998841,0.0000210621,0.00002628853,0.00001324805,0.00004018559,0.00001503774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001386107,0.00007005645,0.4837407,0.0005285604,0.0002191966,0.0008928441,0.001244921,0.006943454,0.2641568,0.04711112,0.004534569,0.1891717],"study_design_scores_gemma":[0.00004305812,0.0001944238,0.8274359,0.00007743097,0.00008483836,0.0006246626,0.001705213,0.005149603,0.05662883,0.03581615,0.07217498,0.00006489639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756181,0.007601758,0.001494423,0.001375837,0.00005198643,0.000005354234,0.000487589,0.00005429473,0.01331075],"genre_scores_gemma":[0.9951455,0.001636489,0.0004450368,0.00007271791,0.00002341006,0.000001779788,0.00007255886,0.0000102626,0.002592284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03497934,"threshold_uncertainty_score":0.06955147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006150142693303613,"score_gpt":0.160051516203525,"score_spread":0.1539013735102213,"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."}}