{"id":"W2609364173","doi":"10.3968/9468","title":"A Drilling Liquid to Reduce the Damage Coalbed Methane","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coalbed methane; Environmental science; Petroleum engineering; Drilling fluid; Economic shortage; Natural gas; Drilling; Methane; Geology; Waste management; Materials science; Coal; Coal mining; Engineering; Chemistry; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143759,0.0002794408,0.0001657446,0.0003204446,0.0001659508,0.000184988,0.0002593246,0.0002279892,0.0009616544],"category_scores_gemma":[0.0001913974,0.0001128336,0.0001720409,0.0001717511,0.0001968658,0.0004138464,0.00025328,0.0002254402,0.0001455377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751929,"about_ca_system_score_gemma":0.0004322483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009513057,"about_ca_topic_score_gemma":0.002090476,"domain_scores_codex":[0.9998734,0.0000119777,0.00001388338,0.00002073455,0.00006114592,0.00001888651],"domain_scores_gemma":[0.9999293,0.00000987241,0.00002781094,0.000004581378,0.00001681847,0.00001169952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000465409,0.00001793191,0.0005044332,0.0001371018,0.000002274215,0.00004705508,0.00002606422,0.0002328852,0.9923843,0.0001599818,0.00006050162,0.006380988],"study_design_scores_gemma":[0.00001305153,0.0003562574,0.002062975,0.000014467,0.00001298959,0.0001272486,0.00005381643,0.003424856,0.9900322,0.00004762718,0.003845696,0.000008753361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772682,0.001733483,0.01888704,0.0001575092,0.00004905986,0.00006308964,0.0000878792,0.0002520468,0.001501626],"genre_scores_gemma":[0.9846615,0.0006180294,0.01252532,0.00004922961,0.000008321555,0.00002642044,0.0000698384,0.00001196495,0.002029237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009616544,"threshold_uncertainty_score":0.003217101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155130105314093,"score_gpt":0.2908601853512652,"score_spread":0.2693088842981243,"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."}}