{"id":"W4375948267","doi":"10.1016/j.chemgeo.2023.121533","title":"Estimating the effect of elemental sulfur disproportionation on the sulfur-isotope signatures in sediments","year":2023,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disproportionation; Sulfur; Sulfide; Sulfate; Sulfur cycle; Chemistry; Environmental chemistry; Dimethyl sulfide; Isotope; Geology; Inorganic chemistry; Organic chemistry; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731491,0.0004363036,0.0003292308,0.0003919202,0.0003024237,0.000636705,0.0002996649,0.0006467344,0.0007155556],"category_scores_gemma":[0.001464838,0.0003286447,0.000365175,0.0003792544,0.0003748852,0.0003285329,0.0002918257,0.0003193214,0.0002831306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006543673,"about_ca_system_score_gemma":0.0005007831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233569,"about_ca_topic_score_gemma":0.01062926,"domain_scores_codex":[0.9994419,0.0001370164,0.00003874837,0.0001689469,0.0001448967,0.00006848406],"domain_scores_gemma":[0.9995228,0.0002235474,0.00007183682,0.00005591206,0.00009370502,0.00003228319],"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":[0.001525738,0.00007317292,0.06565283,0.00009533732,0.000121402,0.00006548202,0.00007267677,0.002767846,0.9154409,0.000106109,0.00005696648,0.01402164],"study_design_scores_gemma":[0.00002476457,0.0004756479,0.09755524,0.000005756317,0.00009578504,0.00005946555,0.00007034747,0.006087402,0.8947677,0.00007988666,0.0007616291,0.00001639026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971271,0.0002132125,0.001631935,0.00002445831,0.000009521309,0.00002440344,0.0002022847,0.00002617323,0.0007408782],"genre_scores_gemma":[0.9963828,0.0002600364,0.002373696,0.00002809751,0.000006298118,0.00001673865,0.000286091,0.00001425608,0.0006319586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006233569,"threshold_uncertainty_score":0.01239461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008440919825781823,"score_gpt":0.2265348874254098,"score_spread":0.218093967599628,"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."}}