{"id":"W4312569797","doi":"10.2139/ssrn.4313166","title":"Effect of Proppant Distribution in Hydraulic Fractures on Coalbed Methane Extraction","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Coalbed methane; Extraction (chemistry); Hydraulic fracturing; Petroleum engineering; Distribution (mathematics); Geology; Environmental science; Engineering; Waste management; Coal mining; Chemistry; Coal; Mathematics; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001853627,0.0001684205,0.0002752364,0.0002613856,0.0003276483,0.0005838895,0.0003729282,0.0003256963,0.004614681],"category_scores_gemma":[0.0009761894,0.0002085629,0.0001445631,0.0002302453,0.0004300273,0.0005145864,0.0003263337,0.0004052712,0.0003263085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587596,"about_ca_system_score_gemma":0.0003362622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117383,"about_ca_topic_score_gemma":0.001931407,"domain_scores_codex":[0.9998648,0.00002124043,0.00000790334,0.00003032634,0.0000221281,0.00005361254],"domain_scores_gemma":[0.9994616,0.0003119672,0.00005700688,0.00002316311,0.00008374634,0.0000625413],"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":[0.01620581,0.0003490358,0.01230255,0.0002571534,0.0000432478,0.0006100712,0.0001507957,0.02272348,0.9240984,0.0007419332,0.0002733043,0.02224411],"study_design_scores_gemma":[0.0001273544,0.001760335,0.01643149,0.00001662044,0.0000347112,0.00009942892,0.0003877115,0.02302799,0.9570062,0.0002727916,0.0008149408,0.00002044883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982297,0.000139976,0.0006115405,0.00004061966,0.00001125868,0.000003776019,0.00009144967,0.00002271511,0.0008489539],"genre_scores_gemma":[0.9993755,0.00004474443,0.0001111467,0.000006375378,0.00000244305,0.000002163106,0.00002754672,0.000005470662,0.0004245618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614681,"threshold_uncertainty_score":0.01543766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004242835183166851,"score_gpt":0.234134634078491,"score_spread":0.2298917988953242,"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."}}