{"id":"W3043566476","doi":"10.1002/cjce.23857","title":"Experimental methods in chemical engineering: Process simulation","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); Exploit; Exergy; Computer science; Industrial engineering; Heat exchanger; Process engineering; Process simulation; Software; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390152,0.0001425906,0.0001873489,0.0001131851,0.00001448349,0.00004900807,0.0002341107,0.00009318532,0.00004598531],"category_scores_gemma":[0.0003852753,0.0001245803,0.00005742348,0.0003390249,0.00001699126,0.0002021331,0.000006153064,0.0004292724,0.000002375134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099329,"about_ca_system_score_gemma":0.00009805796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001712165,"about_ca_topic_score_gemma":0.000002004776,"domain_scores_codex":[0.9992207,0.00000756702,0.0003527281,0.00007686207,0.0001239012,0.0002182118],"domain_scores_gemma":[0.9994259,0.00006293394,0.00003992152,0.00006342423,0.00006667856,0.0003411555],"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":[0.000003742289,0.000002194804,0.000007506182,0.00002642308,0.000009909786,0.00000412389,0.0006664383,0.7749277,0.2240161,0.00007347562,0.00003131444,0.0002310599],"study_design_scores_gemma":[0.0001344671,0.000006913267,0.000003599973,0.00002633854,0.000004102211,0.000009216858,0.00001523409,0.5924409,0.4070131,0.000007636969,0.0002565302,0.00008196133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6243801,0.001899882,0.3712747,0.001087178,0.0005124164,0.0002411026,0.000005507557,0.0001849791,0.0004141624],"genre_scores_gemma":[0.9908748,9.269742e-7,0.008808754,0.00009365995,0.0001803442,0.000004520451,0.000002769215,0.00003323258,9.994262e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3664947,"threshold_uncertainty_score":0.5080237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818830950233628,"score_gpt":0.2731551538230252,"score_spread":0.2549668443206889,"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."}}