{"id":"W3185663823","doi":"10.3968/12102","title":"Research on One Novel Logging Interpretation Method of CBM Reservoir","year":2020,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coalbed methane; Petroleum engineering; Coal; Methane; Coal mining; Well logging; Natural gas; Volume (thermodynamics); Logging; Mining engineering; Environmental science; Geology; Engineering; Waste management; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003150505,0.00007505524,0.0001186695,0.0001481595,0.0000429525,0.00002043394,0.00005998816,0.00003094047,0.000009270793],"category_scores_gemma":[0.00005361092,0.00007349163,0.000008269262,0.0002090052,0.000018798,0.0004409307,0.00003661837,0.0001293071,0.000008404832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000639392,"about_ca_system_score_gemma":0.00002034682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002321227,"about_ca_topic_score_gemma":0.00002153916,"domain_scores_codex":[0.9992009,0.0000396203,0.0002640126,0.0001512605,0.0002231927,0.0001210304],"domain_scores_gemma":[0.9997442,0.00006984957,0.00002714621,0.00006201831,0.00005512168,0.00004164815],"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":[0.0001273849,0.000030898,0.0001602688,0.0002168399,0.000007734657,5.12452e-7,0.004107649,0.8933132,0.004015378,0.001771495,0.00003513222,0.09621345],"study_design_scores_gemma":[0.0005164768,0.000137933,0.0006369731,0.0002002606,0.000001607776,3.568356e-7,0.00259497,0.9310035,0.03260027,0.0004049145,0.03175714,0.0001455923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01434856,0.0007499482,0.9813449,0.0005583263,0.00008250151,0.0001165794,0.000001636041,0.00005972519,0.002737812],"genre_scores_gemma":[0.9757881,0.001061486,0.02297717,0.00007415717,0.00002186869,0.00003550085,0.00001798668,0.00001170029,0.00001200603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9614395,"threshold_uncertainty_score":0.2996902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135404184192324,"score_gpt":0.3471373730371726,"score_spread":0.2335969546179402,"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."}}