{"id":"W2997604828","doi":"10.2172/1580018","title":"Best Practices in Underground Coal Gasification","year":2019,"lang":"en","type":"report","venue":"","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Underground coal gasification; Syngas; Coal; Waste management; Coal gasification; Environmental science; Clean coal technology; Synthetic fuel; Engineering; Chemistry; Hydrogen; Chemical reaction","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":[0.0003781486,0.0001917454,0.0002557859,0.0003054584,0.00001710618,0.00006331182,0.0002418178,0.0004998454,0.000165817],"category_scores_gemma":[0.0004780396,0.0001877931,0.00003962625,0.0001771504,0.00002547423,0.0001329826,0.00002531088,0.0004746189,0.0005849653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065697,"about_ca_system_score_gemma":0.0001775623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000461054,"about_ca_topic_score_gemma":0.0003927598,"domain_scores_codex":[0.9988652,0.00001407954,0.0003578487,0.0002646019,0.0003163886,0.0001819077],"domain_scores_gemma":[0.9989443,0.0001377801,0.0002686867,0.0005370801,0.00009186758,0.00002024889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000162465,0.0003723562,0.0264177,0.004626644,0.0004206058,0.00004203671,0.0004923455,0.01127904,0.00151372,0.005419038,0.7496166,0.1997837],"study_design_scores_gemma":[0.0001514259,0.00003793842,0.003671929,0.0002538498,0.0000392381,0.00003838797,0.001292581,0.002774254,0.000719981,0.0001829609,0.9903438,0.0004936509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005220049,0.002387318,0.001815117,0.0003303641,0.001289663,0.0003041797,0.00001201272,0.001221421,0.9874199],"genre_scores_gemma":[0.8572767,0.01607361,0.001409451,0.00001316034,0.0001785335,0.0001095933,0.0002264828,0.00009140063,0.124621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8627989,"threshold_uncertainty_score":0.7657981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1702318357115225,"score_gpt":0.3534801695466651,"score_spread":0.1832483338351427,"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."}}