{"id":"W2324959088","doi":"10.1021/ie302866c","title":"Numerical Simulation and Evaluation of Cavity Growth in In Situ Coal Gasification","year":2013,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coal; Inlet; Underground coal gasification; Volumetric flow rate; Combustion; Materials science; Mechanics; Pyrolysis; Permeability (electromagnetism); Flow (mathematics); Thermal; Thermal conductivity; Environmental science; Syngas; Petroleum engineering; Coal gasification; Thermodynamics; Chemistry; Geology; Composite material; Physics; Membrane","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002794511,0.0004345499,0.0006725864,0.0002827605,0.0004416154,0.000567422,0.0006235042,0.001242433,0.00155293],"category_scores_gemma":[0.0008563445,0.0002926875,0.0005079035,0.0003084433,0.0006609506,0.0003533283,0.0004112368,0.0004438729,0.0001456902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007314316,"about_ca_system_score_gemma":0.0006937413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121046,"about_ca_topic_score_gemma":0.004457611,"domain_scores_codex":[0.9999046,0.0000227511,0.000004816892,0.00001632181,0.00002648962,0.00002507535],"domain_scores_gemma":[0.9996116,0.0002332515,0.00004389417,0.00002881809,0.0000582519,0.00002431397],"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":[0.00003514137,0.00002416694,0.0006677873,0.00001842169,0.000004190643,0.00005795623,0.00003111732,0.9924051,0.005371615,0.000392024,0.0000370795,0.0009553385],"study_design_scores_gemma":[0.0000047566,0.00001444848,0.0001856039,0.000001224243,0.00000123607,0.000006726664,0.000006288276,0.9983614,0.001288467,0.00005489822,0.00007201,0.000002885409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323342,0.00011889,0.05902521,0.0001253759,0.00003910124,0.00007479121,0.000361701,0.000300044,0.007620745],"genre_scores_gemma":[0.9878313,0.00006041912,0.0106609,0.0000128005,0.000003407951,0.00006211206,0.00009590361,0.00002471517,0.001248488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121046,"threshold_uncertainty_score":0.02229041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626216532163904,"score_gpt":0.3660678345355895,"score_spread":0.2034461813191991,"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."}}