{"id":"W2948246231","doi":"10.3968/11001","title":"A Drilling Liquid to Reduce the Damage Coalbed Methane","year":2019,"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; Methane; Drilling; Geology; Materials science; Waste management; Coal mining; Coal; 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":[0.0001110656,0.000272968,0.0001630488,0.0003189949,0.0001657733,0.0001859607,0.0002508343,0.0002275772,0.0009893365],"category_scores_gemma":[0.0001874387,0.0001114252,0.0001666161,0.0001705155,0.000196005,0.0004041169,0.0002534571,0.0002271334,0.0001527418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712007,"about_ca_system_score_gemma":0.0004203418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569465,"about_ca_topic_score_gemma":0.002079789,"domain_scores_codex":[0.9998726,0.00001177692,0.00001343823,0.00002088667,0.00006235234,0.00001892208],"domain_scores_gemma":[0.9999304,0.000009717555,0.00002721925,0.000004459254,0.00001669383,0.0000116209],"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":[0.00004705819,0.00001774802,0.0004951227,0.0001396026,0.000002243961,0.00004904537,0.00002626592,0.000232896,0.9922379,0.0001628589,0.00006728129,0.006521937],"study_design_scores_gemma":[0.00001312247,0.0003702652,0.002085777,0.00001513919,0.0000125729,0.0001319823,0.00005538044,0.003476457,0.9895907,0.00004919996,0.004190294,0.000009010389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763739,0.001841325,0.01947243,0.0001677007,0.00005432716,0.00006676272,0.00009510657,0.0002749576,0.001653474],"genre_scores_gemma":[0.9844077,0.0006327512,0.01257493,0.00005208929,0.000008708464,0.00002717869,0.00007157286,0.00001268755,0.002212316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009893365,"threshold_uncertainty_score":0.003309727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135113388660334,"score_gpt":0.2554635780743124,"score_spread":0.2441124441877091,"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."}}