{"id":"W2737918899","doi":"10.1088/1755-1315/76/1/012008","title":"Computational Studies for Underground Coal Gasification (UCG) Process","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Bombay; University of Alberta; University of Calgary","keywords":"Underground coal gasification; Process (computing); Coal; Petroleum engineering; Process engineering; Coal gasification; Computational fluid dynamics; Coal mining; Flow (mathematics); Environmental science; Computer science; Engineering; Waste management; Mechanics; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001016499,0.00009117946,0.0000889899,0.00003565177,0.0007844777,0.000193528,0.0002450685,0.00003021484,0.00001134169],"category_scores_gemma":[0.00005961909,0.00008494766,0.00001105122,0.00002814478,0.00149019,0.0005934436,0.00004740708,0.00004692917,0.000005500084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001962035,"about_ca_system_score_gemma":0.00001881039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001697891,"about_ca_topic_score_gemma":0.000009182385,"domain_scores_codex":[0.9993787,0.000002730827,0.000101983,0.0002016543,0.0001427547,0.0001722025],"domain_scores_gemma":[0.9996792,0.00002140442,0.00004916006,0.0001833209,0.00001822533,0.00004869785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001419626,0.0001906649,0.0239938,0.0007079535,0.0001702767,0.000006843986,0.01286887,0.04227355,0.2529534,0.1449234,0.0005942424,0.521175],"study_design_scores_gemma":[0.0009068253,0.0004023876,0.5505479,0.0001075069,0.00002846096,0.00004805998,0.02618364,0.08279836,0.3077344,0.02543722,0.00495621,0.0008490435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951663,0.0002206277,0.002972302,0.0004296872,0.0001179629,0.0001433254,0.00002110141,0.0001093433,0.0008193441],"genre_scores_gemma":[0.9974768,0.0003611437,0.001836817,0.00001265967,0.00001363722,0.00003861253,0.00001028319,0.000004837072,0.0002451669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5265541,"threshold_uncertainty_score":0.6033647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290151425299075,"score_gpt":0.2700739910452801,"score_spread":0.2271724767922893,"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."}}