{"id":"W4412391302","doi":"10.1063/5.0273550","title":"Gas drainage optimization via fracture network characterization in coal mining","year":2025,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Physics; Characterization (materials science); Petroleum engineering; Drainage; Fracture (geology); Coal; Mining engineering; Geotechnical engineering; Waste management","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":[],"consensus_categories":[],"category_scores_codex":[0.00008698124,0.0001123088,0.0002049727,0.00008148505,0.0000346228,0.00001773639,0.0001073677,0.00007789031,0.00001829792],"category_scores_gemma":[0.00001095993,0.0001158497,0.0000605263,0.0004600658,0.00001765257,0.0001342809,0.00002206421,0.0001177769,0.000002019821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003618289,"about_ca_system_score_gemma":0.00001170191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001697874,"about_ca_topic_score_gemma":0.000003630284,"domain_scores_codex":[0.9993829,0.00002135903,0.0002155129,0.0001147416,0.00009982778,0.0001656997],"domain_scores_gemma":[0.9997064,0.00003611819,0.00003006802,0.000173692,0.00003108516,0.00002263993],"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":[0.000004744332,0.00001998766,0.0009632476,0.0000774993,0.00004733148,0.00000113882,0.0002552303,0.9903629,0.005793091,0.00004514448,0.0001473191,0.0022824],"study_design_scores_gemma":[0.0001729625,0.000006891515,0.003875222,0.000104509,0.00002785527,1.267336e-7,0.00001421225,0.9881716,0.006374162,0.0004384269,0.0007100269,0.0001039631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08295339,0.0001182926,0.9140111,0.0001258686,0.0001512216,0.00006887509,0.00000372307,0.00008021915,0.00248733],"genre_scores_gemma":[0.9974081,0.00006129978,0.002032736,0.00007048099,0.0001657465,0.000007855563,0.0001585833,0.0000167075,0.00007852809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9144547,"threshold_uncertainty_score":0.4724212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004497753070376416,"score_gpt":0.206689759862289,"score_spread":0.2021920067919126,"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."}}