{"id":"W2893708139","doi":"10.1021/acs.est.8b03791","title":"Manganese-Driven Carbon Oxidation at Oxic–Anoxic Interfaces","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Biological and Environmental Research; Division of Environmental Biology; National Research Council Canada; University of Massachusetts; Western Economic Diversification Canada; Basic Energy Sciences; Canadian Light Source; U.S. Department of Agriculture; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Canadian Institutes of Health Research; Office of Science; Brookhaven National Laboratory; U.S. Department of Energy; National Institute of Food and Agriculture","keywords":"Anoxic waters; Manganese; Environmental chemistry; Carbon fibers; Chemistry; Environmental science; Inorganic chemistry; Materials science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007628669,0.0002390137,0.0002212437,0.0004885724,0.0006761319,0.0001195052,0.00204225,0.0001516211,0.001861857],"category_scores_gemma":[0.0001560491,0.0002164983,0.0000251448,0.001121092,0.01046744,0.0007000252,0.001944969,0.0001108284,0.00287259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008272729,"about_ca_system_score_gemma":0.00006657903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000243159,"about_ca_topic_score_gemma":0.00002967016,"domain_scores_codex":[0.9970583,0.00002697135,0.0003431784,0.00104031,0.0007322098,0.0007989706],"domain_scores_gemma":[0.9987758,0.00002517379,0.0002163012,0.0008287258,0.00002350762,0.0001305111],"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":[0.00001282424,0.00004390047,0.001587818,0.000004317189,9.773091e-7,0.000005993393,0.0002391364,0.00001018118,0.9971457,0.0002147585,0.00003501961,0.000699376],"study_design_scores_gemma":[0.0001506448,0.0002317376,0.001575286,0.00001567652,0.00000715809,0.0001284919,0.0003242434,0.0004325004,0.9947786,0.001122511,0.0009715692,0.0002615344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953212,0.00006867678,0.0002324035,0.0005257801,0.001024049,0.0002482942,0.00001165529,0.0003345147,0.002233489],"genre_scores_gemma":[0.9973857,0.00001767424,0.001953164,0.0001082806,0.00009414871,0.00003712237,0.000003330169,0.00001785569,0.0003827071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009791304,"threshold_uncertainty_score":0.9990506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00608244826056459,"score_gpt":0.2291537024849676,"score_spread":0.223071254224403,"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."}}