{"id":"W4413324561","doi":"10.1021/acsestengg.5c00448","title":"Mitigation of Methane Emissions from Oil Sands Tailings by Redox Amendment: Mathematical Modeling of Empirical Observations","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Tailings; Amendment; Methane; Oil sands; Environmental science; Redox; Methane emissions; Waste management; Environmental chemistry; Environmental protection; Chemistry; Law; Engineering; Political science; Archaeology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001062959,0.0001309894,0.0003066881,0.00009066897,0.0000332684,0.00001461539,0.0001655677,0.0001200195,0.00009081887],"category_scores_gemma":[0.0003510085,0.000132129,0.00009956371,0.0003163055,0.0000203801,0.00008024221,0.00004639051,0.0001645413,0.000001292543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004098084,"about_ca_system_score_gemma":0.00004621489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000253867,"about_ca_topic_score_gemma":4.336844e-7,"domain_scores_codex":[0.9989884,0.000006148397,0.0004681012,0.0001890612,0.0001983916,0.0001498553],"domain_scores_gemma":[0.999369,0.0001596254,0.00009547822,0.0002363707,0.00008175938,0.00005771285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005357866,0.00006216339,0.0002194835,0.0003558344,0.0001234585,4.01596e-7,0.0002022057,0.04531266,0.9525602,0.0001302632,0.0000731985,0.0009548046],"study_design_scores_gemma":[0.0002044698,0.000003104233,0.000003649815,0.0006338069,0.0001427387,2.473128e-7,0.0001397967,0.5795693,0.4186829,0.0002687134,0.0002588343,0.00009243938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378067,0.0006263162,0.05902751,0.0002118619,0.00001456751,0.000004005378,0.00004040143,0.0000748118,0.002193884],"genre_scores_gemma":[0.9885065,0.00004238812,0.00934139,0.00001474499,0.00002440185,0.00001179829,0.0001186488,0.00001474137,0.001925404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5342567,"threshold_uncertainty_score":0.5388065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762657267680588,"score_gpt":0.2682188778836413,"score_spread":0.2505923052068354,"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."}}