{"id":"W2793844362","doi":"10.1016/j.fuel.2018.03.037","title":"General hydro-geological impact of cleats on underground coal gasification","year":2018,"lang":"en","type":"article","venue":"Fuel","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Lawrence Livermore National Laboratory; Compute Canada; Alberta Innovates - Technology Futures; Western Canada Research Grid; CMG Reservoir Simulation Foundation; University of Calgary","keywords":"Coal; Environmental science; Underground coal gasification; Coal gasification; Waste management; Petroleum engineering; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003320815,0.0002864392,0.0002304768,0.001149691,0.0008273791,0.001091221,0.0004038661,0.0005314767,0.01558618],"category_scores_gemma":[0.0005522381,0.0001481097,0.0003303782,0.00117664,0.0007746853,0.0007427778,0.00121583,0.0003732919,0.0009234159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226664,"about_ca_system_score_gemma":0.001051957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03713693,"about_ca_topic_score_gemma":0.06753919,"domain_scores_codex":[0.9997216,0.00004003245,0.00001380489,0.00003534833,0.0001071943,0.00008200021],"domain_scores_gemma":[0.9996974,0.00007123641,0.00003765404,0.00001750605,0.000139364,0.00003687563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004450554,0.0005493481,0.4578397,0.003091517,0.0003204861,0.007272067,0.001704675,0.09280118,0.07167899,0.04358013,0.01425753,0.3024538],"study_design_scores_gemma":[0.0000721115,0.0009204955,0.7741831,0.0004382195,0.0002324331,0.001820498,0.008643067,0.008925922,0.04615827,0.008947335,0.1495574,0.0001011491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865823,0.004442251,0.0007967648,0.001520026,0.00009961911,0.0000536827,0.002181799,0.0000853317,0.1249975],"genre_scores_gemma":[0.9789507,0.003461462,0.0001986181,0.0001210537,0.00002782834,0.000006664453,0.0004519443,0.00002400033,0.01675772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03713693,"threshold_uncertainty_score":0.07384157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184442295337473,"score_gpt":0.2781588626209558,"score_spread":0.2463144396675811,"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."}}