{"id":"W4386435306","doi":"10.1016/j.fuel.2023.129602","title":"Application of image-based diffusion coefficients in multi-scale simulation of coalbed methane reservoirs","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Scholarship Council; Ministry of Education of the People's Republic of China; Computer Modelling Group","keywords":"Coalbed methane; Diffusion; Methane; Petroleum engineering; Scale (ratio); Flow (mathematics); Mechanics; Coal; Environmental science; Geology; Thermodynamics; Chemistry; Coal mining; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002515794,0.0004242075,0.0004531075,0.0004500817,0.000386479,0.0005736913,0.0007516369,0.001269817,0.001157422],"category_scores_gemma":[0.001685719,0.0003048472,0.0003408036,0.00043182,0.0004761538,0.0007027327,0.0005211714,0.0005415778,0.00008003601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000731402,"about_ca_system_score_gemma":0.0007708428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881707,"about_ca_topic_score_gemma":0.008704017,"domain_scores_codex":[0.9999385,0.00001534101,0.000004295072,0.00001158096,0.00001699613,0.00001330528],"domain_scores_gemma":[0.9994645,0.0003026603,0.00004971526,0.00002992913,0.0001032163,0.00005015223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004494393,0.00005573522,0.0009722858,0.00003121958,0.00001223211,0.00004994091,0.0000324574,0.9885937,0.005547896,0.001204644,0.0001116419,0.003343262],"study_design_scores_gemma":[0.000003469529,0.000003369875,0.00005914261,7.645895e-7,8.24867e-7,0.00000211343,0.000002827003,0.9993761,0.0004720121,0.00005008523,0.00002759096,0.000001708235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8265194,0.0004004025,0.1634008,0.0006249652,0.0001229909,0.00008126831,0.0002126812,0.0006973101,0.007940069],"genre_scores_gemma":[0.9847583,0.00008014131,0.01442148,0.00002729926,0.000009412282,0.0000214135,0.00004325869,0.00004015453,0.000598549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881707,"threshold_uncertainty_score":0.03741509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252256654920887,"score_gpt":0.2710478081693238,"score_spread":0.2458221426772351,"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."}}