{"id":"W1974993476","doi":"10.1021/es5034553","title":"Mercury Isotope Fractionation during Aqueous Photoreduction of Monomethylmercury in the Presence of Dissolved Organic Matter","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Chemistry; Environmental chemistry; Dissolved organic carbon; Fractionation; Mercury (programming language); Biota; Isotope; Chromatography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244155,0.0002970069,0.0002279659,0.0001208524,0.0001655175,0.0002386229,0.0002914231,0.0003620571,0.0007428253],"category_scores_gemma":[0.0003732629,0.0001446811,0.0002233868,0.0001546925,0.0002452165,0.0002304219,0.000275946,0.000640802,0.0001683834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405231,"about_ca_system_score_gemma":0.0002638026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620569,"about_ca_topic_score_gemma":0.005946853,"domain_scores_codex":[0.9998018,0.00001636542,0.000007995861,0.00006469262,0.00006406533,0.00004500781],"domain_scores_gemma":[0.9998369,0.00003513615,0.00004384574,0.00001137409,0.00005183104,0.00002084458],"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":[0.00006529788,0.000008252154,0.0003003897,0.00002532259,0.000007283279,0.00001893737,0.00003851355,0.00002567747,0.998462,0.00002020792,0.00002519732,0.001002996],"study_design_scores_gemma":[0.000004964197,0.0001918918,0.005131916,0.000004620314,0.00001196055,0.00002982737,0.0000462776,0.0006224572,0.9932383,0.00003162821,0.0006792673,0.000006901754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947213,0.0008001724,0.002220085,0.00007168877,0.00005558247,0.00003995084,0.0003570204,0.00006245564,0.00167175],"genre_scores_gemma":[0.9935881,0.000731823,0.002920589,0.0001580047,0.0000178916,0.00004085945,0.0003003442,0.00003646008,0.002205933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003620569,"threshold_uncertainty_score":0.007198989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00554562149895587,"score_gpt":0.2216186274829306,"score_spread":0.2160730059839747,"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."}}