{"id":"W3097791730","doi":"10.1021/acs.estlett.0c00716","title":"Isotopic Composition of Hg in Fogwaters of Coastal California","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"John D. and Catherine T. MacArthur Foundation","keywords":"Composition (language); Environmental chemistry; Chemical composition; Homogeneous; Mercury (programming language); Geology; Deposition (geology); Oceanography; Mineralogy; Environmental science; Chemistry; Sediment; Paleontology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000138912,0.0001065303,0.0001766656,0.0001426407,0.00007605932,0.000003649052,0.0003378862,0.00004549136,0.0003462116],"category_scores_gemma":[0.00001494917,0.00009918458,0.00003294019,0.0007150191,0.003412202,0.0001873363,0.0003345289,0.0001110174,0.00009682446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061694,"about_ca_system_score_gemma":0.000005229157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006256344,"about_ca_topic_score_gemma":0.00001083538,"domain_scores_codex":[0.9988557,0.00001703466,0.0002684921,0.0002708535,0.000330064,0.0002579282],"domain_scores_gemma":[0.9996551,0.00001158517,0.0001214494,0.0001439544,0.000001144936,0.00006674403],"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":[0.000005586912,0.00002675217,0.3596624,0.000002105211,0.000001744476,0.000002343819,0.0003458273,0.0002080922,0.6388194,0.00001680553,0.00007366113,0.0008352889],"study_design_scores_gemma":[0.0003945294,0.0001256929,0.3305591,0.00001171396,0.000006812942,0.000006471615,0.000804339,0.0002191696,0.6671916,0.00005958842,0.0004826711,0.0001383194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936736,0.00001303422,0.0002802369,0.005452527,0.00003017676,0.0001630015,0.00002372623,0.00002101037,0.0003426988],"genre_scores_gemma":[0.9983651,0.00001255466,0.0007647906,0.0008346508,0.000004349256,0.000006346268,0.000003399893,0.000004743377,0.000004053134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0291033,"threshold_uncertainty_score":0.9992999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007628517669245991,"score_gpt":0.2098059878768218,"score_spread":0.2021774702075758,"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."}}