{"id":"W1980899014","doi":"10.1016/j.egypro.2009.01.067","title":"Simulation of entrained flow coal gasification","year":2009,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"China Electronics Technology Group Corporation","keywords":"Integrated gasification combined cycle; Coal gasification; Coal; Process engineering; Computational fluid dynamics; Carbon capture and storage (timeline); Waste management; Greenhouse gas; Environmental science; Work (physics); Electricity generation; Wood gas generator; Syngas; Petroleum engineering; Engineering; Hydrogen; Power (physics); Mechanical engineering; Chemistry; Aerospace engineering; Climate change","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":[0.0002474456,0.0005371635,0.0006849685,0.0003555147,0.0005880147,0.0008170027,0.0008475589,0.001107171,0.002600308],"category_scores_gemma":[0.001145072,0.0003224589,0.000505604,0.0003983572,0.0007475128,0.0005244576,0.0006328932,0.000617033,0.000196375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009230162,"about_ca_system_score_gemma":0.001386896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03117335,"about_ca_topic_score_gemma":0.0122577,"domain_scores_codex":[0.9998577,0.00003886021,0.000005811815,0.00002040066,0.00003555428,0.00004173141],"domain_scores_gemma":[0.9995477,0.0002437934,0.00003541945,0.00002620643,0.0000831021,0.00006385261],"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":[0.00006590425,0.00003266049,0.000628661,0.00001232184,0.00000844293,0.00005574865,0.00002313847,0.9966006,0.0008134571,0.000807179,0.00008013225,0.0008718464],"study_design_scores_gemma":[0.00001533705,0.00001630827,0.0001951785,0.000001552534,0.000001729933,0.000004409504,0.00001040525,0.9990559,0.0003926688,0.0001712306,0.0001326815,0.000002439222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514043,0.0001571658,0.02688846,0.0002703483,0.00005882925,0.00008837271,0.0007129742,0.0003153273,0.02010416],"genre_scores_gemma":[0.9912713,0.00006351738,0.004989344,0.00002768245,0.000005661042,0.00005894791,0.0003387702,0.00002442148,0.003220453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03117335,"threshold_uncertainty_score":0.06198382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006855891810210415,"score_gpt":0.19916392706347,"score_spread":0.1923080352532596,"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."}}