{"id":"W4408173791","doi":"10.1021/acs.energyfuels.4c05401","title":"Study on Biodegradation of Tricyclic Terpanes in the Subsurface Reservoirs by GC–MS, FT-ICR MS, and Molecular Simulation","year":2025,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; China Scholarship Council; Natural Science Foundation of Xinjiang Province","keywords":"Biodegradation; Tricyclic; Gas chromatography–mass spectrometry; Chemistry; Chromatography; Environmental chemistry; Mass spectrometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055307,0.0003414744,0.000188071,0.0003615427,0.0001939642,0.0001620161,0.0002498061,0.0002315934,0.000825846],"category_scores_gemma":[0.0001722007,0.0001312977,0.0002945626,0.0003946238,0.0001299089,0.0003232925,0.0001408257,0.0001979247,0.00009787804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403723,"about_ca_system_score_gemma":0.0002591266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004958136,"about_ca_topic_score_gemma":0.005718178,"domain_scores_codex":[0.9999546,0.000004555936,0.000002799378,0.0000110421,0.00001699805,0.00001000801],"domain_scores_gemma":[0.9999593,0.00001576072,0.000007923438,0.000003269014,0.00001007246,0.000003781934],"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":[0.000337349,0.0002753898,0.03594854,0.0005739354,0.0001238469,0.000525814,0.0002526382,0.2822997,0.6476231,0.001889986,0.0003093991,0.02984031],"study_design_scores_gemma":[0.00001832172,0.0002861125,0.02196439,0.00001095007,0.00003821697,0.0000931259,0.0001634376,0.8294015,0.1461069,0.0005936371,0.001291371,0.00003201093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956726,0.0001339681,0.003166492,0.0000200126,0.000003520078,0.000007036065,0.0001938475,0.0000436632,0.000758976],"genre_scores_gemma":[0.9958946,0.0001618866,0.003384157,0.000004101705,0.000001047093,0.00001162942,0.0001785235,0.000007518806,0.0003566493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004958136,"threshold_uncertainty_score":0.009858549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231191485373755,"score_gpt":0.2722667457621782,"score_spread":0.2599548309084407,"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."}}