{"id":"W3015178561","doi":"10.1038/s41467-020-15495-3","title":"Anomalous fractionation of mercury isotopes in the Late Archean atmosphere","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Chinese Academy of Sciences; Natural Environment Research Council; Research Councils UK; Sight Research UK; Agouron Institute","keywords":"Mercury (programming language); Archean; Atmosphere (unit); Astrobiology; Mass-independent fractionation; Sedimentary rock; Environmental chemistry; Earth science; Isotope; Geology; Environmental science; Geochemistry; Chemistry; Isotope fractionation; Fractionation; Meteorology; Geography; Physics","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":[0.0001937233,0.00006036946,0.0000803275,0.000005777416,0.0001425855,0.000009948341,0.0005923198,0.0000679943,0.0002346925],"category_scores_gemma":[0.0001934963,0.00004474291,0.00003315918,0.0003903525,0.0001649619,0.0001361556,0.0001797269,0.0004161095,0.00006529322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002737181,"about_ca_system_score_gemma":0.000009412374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006381,"about_ca_topic_score_gemma":0.0004950488,"domain_scores_codex":[0.999366,0.0001433099,0.0001604633,0.00007468947,0.0001764228,0.00007909341],"domain_scores_gemma":[0.9991961,0.000235246,0.00008075668,0.0004445905,0.00001581805,0.00002748827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004317914,0.0005106966,0.8019894,0.00002564546,0.00006763466,0.000001805639,0.05430784,0.001360621,0.01335885,0.02093776,0.07375386,0.03364275],"study_design_scores_gemma":[0.0002146021,0.0000371575,0.7659357,0.000009477249,0.00001581566,0.000001996295,0.002671716,0.001646706,0.0003824302,0.0008319991,0.2281425,0.0001098722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512157,0.002108435,0.0001174659,0.09025636,0.00004722381,0.0003686665,0.00001881263,0.00003303374,0.05583433],"genre_scores_gemma":[0.9951839,0.0003820441,0.001422412,0.002900852,0.00001061001,0.00002002315,0.00002054361,0.000004300263,0.00005527179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1543887,"threshold_uncertainty_score":0.2569718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205344357650077,"score_gpt":0.301422507346563,"score_spread":0.2693690637700623,"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."}}