{"id":"W864359000","doi":"10.1016/j.envpol.2015.07.008","title":"Isotopic fractionation during the uptake and elimination of inorganic mercury by a marine fish","year":2015,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Research Council Canada","keywords":"Mercury (programming language); Fractionation; Chemistry; Isotope; Environmental chemistry; Mass-independent fractionation; Stable isotope ratio; Radiochemistry; Biotransformation; Isotope fractionation; Chromatography; Biochemistry","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":[0.0001691498,0.000086988,0.00007709397,0.0000206961,0.0001419458,0.000009978522,0.00005725064,0.00003990455,0.0006072185],"category_scores_gemma":[0.00003058135,0.00007323454,0.00002058592,0.00007976958,0.0001854084,0.0002992607,0.000132747,0.000066951,0.00006334764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327707,"about_ca_system_score_gemma":0.000003076058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235773,"about_ca_topic_score_gemma":0.00003018185,"domain_scores_codex":[0.9992418,0.0000398047,0.0001783317,0.0001417343,0.0002869709,0.0001114125],"domain_scores_gemma":[0.9997132,0.00001288475,0.0001095659,0.0001044019,0.000002053731,0.00005783891],"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":[0.00008177323,0.0002851611,0.2585977,0.00001936024,0.00005537282,0.000001157157,0.004011078,0.0003001343,0.6550958,0.000152146,0.0121363,0.06926403],"study_design_scores_gemma":[0.0003837201,0.00004694604,0.9755552,0.000002495362,0.00001523662,0.000009118438,0.0007964891,0.000131632,0.01560003,0.0001973696,0.007180574,0.00008118829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969754,0.00008074108,0.00009259691,0.001235623,0.00007632723,0.0001727745,0.00002642272,0.00001358833,0.001326577],"genre_scores_gemma":[0.9986393,0.0001526219,0.00006180759,0.0001814001,0.00002814056,0.00001226984,0.00003467899,0.000006948194,0.0008828614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7169575,"threshold_uncertainty_score":0.6648617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009118811216999034,"score_gpt":0.2121667185613152,"score_spread":0.2030479073443162,"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."}}