{"id":"W2962702590","doi":"10.1088/1755-1315/282/1/012040","title":"Application of thermal methods to increase the efficiency of coalbed methane production","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coalbed methane; Coal; Methane; Environmental science; Natural gas; Fossil fuel; Thermogravimetry; Extraction (chemistry); Coal mining; Geology; Mining engineering; Petroleum engineering; Waste management; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002725516,0.0002895791,0.0001937929,0.0005581096,0.0001717336,0.0002237698,0.000242977,0.0002299829,0.002001869],"category_scores_gemma":[0.0002697853,0.0001449808,0.0003232047,0.0005291362,0.000214701,0.0003280268,0.0002530649,0.0004279232,0.0004031926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812645,"about_ca_system_score_gemma":0.0001511409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396776,"about_ca_topic_score_gemma":0.0009868315,"domain_scores_codex":[0.9998137,0.00003832924,0.00001217785,0.00003835739,0.00006827337,0.00002909429],"domain_scores_gemma":[0.9999146,0.00002450005,0.000019328,0.00001293455,0.00001988197,0.00000866155],"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":[0.0001272729,0.0001059977,0.0003365987,0.0005441685,0.00001691888,0.00005343846,0.00004791842,0.0004600423,0.9750769,0.0004295089,0.0001608828,0.02264027],"study_design_scores_gemma":[0.000009441117,0.0002346714,0.00135934,0.00001881001,0.00001463289,0.00006507591,0.00002364687,0.001076856,0.9929178,0.00009146619,0.004180604,0.000007424813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761319,0.03329357,0.0738252,0.0005630998,0.0003426338,0.0002876596,0.0004325807,0.0005787482,0.01454462],"genre_scores_gemma":[0.9591649,0.00729043,0.02932783,0.0001346011,0.00005075697,0.00009900498,0.0001445871,0.00006050271,0.003727442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001869,"threshold_uncertainty_score":0.006696939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009485253867172687,"score_gpt":0.2161626086678305,"score_spread":0.2066773548006578,"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."}}