{"id":"W2410004056","doi":"10.1021/acs.iecr.6b00692","title":"Experimental Assessment, Model Validation, and Uncertainty Quantification of a Pilot-Scale Gasifier","year":2016,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Government of Canada","keywords":"Wood gas generator; Syngas; Environmental science; Process engineering; Raw material; Volumetric flow rate; Nuclear engineering; Petroleum engineering; Waste management; Chemistry; Mechanics; Engineering; Coal; Hydrogen; Physics","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":[0.001476567,0.0008451923,0.0006796022,0.0003127031,0.000576698,0.0006132845,0.0009526309,0.0008456587,0.0006461866],"category_scores_gemma":[0.002186127,0.0002948379,0.0006287187,0.0003032028,0.0004127226,0.0005791871,0.0005430155,0.0008070144,0.0002139657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321074,"about_ca_system_score_gemma":0.0006217109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753226,"about_ca_topic_score_gemma":0.004051582,"domain_scores_codex":[0.9994377,0.0001334665,0.00005543515,0.0001129349,0.0002125199,0.00004788901],"domain_scores_gemma":[0.9988702,0.0005609184,0.00009371799,0.000185369,0.0002561615,0.00003366414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001123084,0.001923281,0.01323357,0.0009109917,0.0001357905,0.0004262872,0.0004076278,0.350778,0.5892032,0.0007410853,0.0003004295,0.04081666],"study_design_scores_gemma":[0.0001058172,0.002765763,0.007386632,0.00002281394,0.0001031044,0.0001002101,0.0001323485,0.2787691,0.7087263,0.0002284892,0.001609904,0.00004961238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759377,0.0001192302,0.02256487,0.00003460961,0.00001205252,0.0001359794,0.0003552209,0.0001991978,0.0006411635],"genre_scores_gemma":[0.9868303,0.0001026772,0.01234745,0.000007716877,0.000002960878,0.0001239276,0.0003030545,0.00002214122,0.0002598365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004753226,"threshold_uncertainty_score":0.009451151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023860060634479,"score_gpt":0.3378292942747061,"score_spread":0.2354432882112582,"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."}}