{"id":"W2067365208","doi":"10.1002/cjce.20265","title":"Comparison of stochastic methods with respect to performance and reliability of low‐temperature gas separation processes","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Simulated annealing; Convergence (economics); Reliability (semiconductor); Genetic algorithm; Mathematical optimization; Computer science; Process (computing); Stochastic optimization; Work (physics); Materials science; Mathematics; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376154,0.0005170839,0.0006691884,0.001013517,0.0003184152,0.0007234435,0.0005861408,0.00076597,0.0006125132],"category_scores_gemma":[0.008837066,0.0002659654,0.0005757125,0.0006074553,0.0005946037,0.0003880047,0.0004835197,0.0004876151,0.0001151996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296747,"about_ca_system_score_gemma":0.0007853964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002478678,"about_ca_topic_score_gemma":0.001645024,"domain_scores_codex":[0.9984916,0.0007542599,0.00006438008,0.00009755698,0.0005178826,0.00007421574],"domain_scores_gemma":[0.991043,0.006300047,0.000747925,0.0005474115,0.001261643,0.00009998591],"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":[0.0001061646,0.00003301266,0.0009920148,0.00006777067,0.00004885162,0.00001481574,0.00002702663,0.9747937,0.003985351,0.002317833,0.00009459491,0.01751883],"study_design_scores_gemma":[0.000009651463,0.0000896511,0.0004929979,0.000006512048,0.00001016686,0.00001389756,0.000006238766,0.9946631,0.003896426,0.0006255215,0.0001785014,0.000007300364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4457499,0.002073424,0.5457572,0.0003547881,0.0000768109,0.00005247068,0.00006579157,0.0005788464,0.005290754],"genre_scores_gemma":[0.9697182,0.0001763276,0.02964739,0.00001524063,0.00001405124,0.00003079681,0.00003799448,0.00004145762,0.0003185793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003376154,"threshold_uncertainty_score":0.01785505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00731711492398302,"score_gpt":0.2643046860396963,"score_spread":0.2569875711157132,"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."}}