{"id":"W1969320902","doi":"10.2118/0609-0059-jpt","title":"Maximizing Energy at Coalface for Coalbed-Methane Fracturing","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Coalbed methane; Petroleum engineering; Geology; Hydraulic fracturing; Mining engineering; Coal; Natural gas; Coal mining; Drilling; Fossil fuel; Engineering; Waste management; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467798,0.0002014193,0.0005156984,0.0008276221,0.00008217747,0.00002014417,0.0004111342,0.0003089375,0.00003590277],"category_scores_gemma":[0.0001067686,0.0001724448,0.0002750917,0.0002477185,0.00004353068,0.0001143073,0.00003584125,0.0004210384,0.000006372816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068758,"about_ca_system_score_gemma":0.0000234765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005061949,"about_ca_topic_score_gemma":0.00001715669,"domain_scores_codex":[0.9986967,0.00001541437,0.0005313539,0.0001405213,0.0002060553,0.0004099779],"domain_scores_gemma":[0.9992203,0.00008517666,0.0002246815,0.0002666056,0.00009599501,0.0001073007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001152218,0.0000795392,0.0003479887,0.00005937556,0.0004715448,0.0001684569,0.00006996182,0.879423,0.0749678,0.0002246339,0.005719638,0.03835285],"study_design_scores_gemma":[0.002529803,0.0009181987,0.0005220624,0.0001657478,0.0003007549,0.001134802,0.0002246983,0.06535978,0.5052074,0.004785156,0.4182354,0.0006162248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.664406,0.007692221,0.3181652,0.006640618,0.0006878075,0.00006315125,0.000006580209,0.0004673597,0.001871021],"genre_scores_gemma":[0.9944932,0.0004872224,0.00412136,0.000115093,0.0002467626,0.000003539303,0.000002177867,0.0000301065,0.0005005303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8140632,"threshold_uncertainty_score":0.7032095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004783844126872479,"score_gpt":0.2124616356848045,"score_spread":0.2076777915579321,"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."}}