{"id":"W4410600409","doi":"10.1021/acs.energyfuels.5c01752","title":"Enhanced Coalbed Methane Recovery from Lignite Using CO<sub>2</sub> and N<sub>2</sub>","year":2025,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"National Key Research and Development Program of China","keywords":"Coalbed methane; Methane; Environmental science; Coal; Mineralogy; Chemistry; Geochemistry; Materials science; Geology; Coal mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001094005,0.0002795441,0.0003423058,0.0001733887,0.0001048,0.00009037532,0.0001232249,0.0001896709,0.00002295825],"category_scores_gemma":[0.0000500986,0.0002910987,0.00008541436,0.0003230512,0.00004486361,0.0002549103,0.00008487239,0.0001510703,0.00001349617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009950927,"about_ca_system_score_gemma":0.00004375422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791476,"about_ca_topic_score_gemma":0.0002441603,"domain_scores_codex":[0.9987295,0.00006214978,0.0003457897,0.0003556315,0.0001608018,0.0003461169],"domain_scores_gemma":[0.9993593,0.000130582,0.00005477724,0.0002964126,0.00006140165,0.00009755555],"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":[0.00005071435,0.00001403878,0.00001835235,0.00004661199,0.0001122167,0.000004485577,0.00008795142,0.006878253,0.922071,0.0001192066,0.0003014236,0.07029574],"study_design_scores_gemma":[0.0004509852,0.0000322054,0.0002432143,0.0001632298,0.00006958901,0.000001559544,0.00004633922,0.01074248,0.9846207,0.0009353706,0.002387818,0.0003064585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378024,0.003629521,0.05517749,0.00003087622,0.0007100572,0.00009962578,0.00002630718,0.0002472507,0.002276424],"genre_scores_gemma":[0.9964722,0.002627437,0.0002018735,0.0002463228,0.000181648,0.00002094452,0.00008421086,0.00005609947,0.0001092103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06998928,"threshold_uncertainty_score":0.9999541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102673993323172,"score_gpt":0.2127912345047176,"score_spread":0.2017644945714859,"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."}}