{"id":"W2128228429","doi":"10.1021/ie0341000","title":"Nonlinear Optimization with Many Degrees of Freedom in Process Engineering","year":2004,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada)","funders":"Carnegie Mellon University","keywords":"Degrees of freedom (physics and chemistry); Robustness (evolution); Nonlinear system; Computer science; Nonlinear programming; Mathematical optimization; Process (computing); Convergence (economics); Interior point method; Point (geometry); Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008798359,0.000241566,0.0003624898,0.0003513117,0.00005090713,0.00004994332,0.0004739655,0.0003120264,0.00008412549],"category_scores_gemma":[0.003043423,0.0002397462,0.00004298842,0.001826153,0.0001043499,0.0002237547,0.0001167045,0.001310959,0.000002444307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914012,"about_ca_system_score_gemma":0.0004103651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004073155,"about_ca_topic_score_gemma":0.000002801152,"domain_scores_codex":[0.9972947,0.00002516505,0.0005003971,0.0003839637,0.001117214,0.0006786108],"domain_scores_gemma":[0.9983562,0.0004146425,0.00008367773,0.0004148177,0.0005501407,0.0001804695],"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":[0.00007343126,0.0001550897,0.0001227775,0.0003302783,0.00002716296,0.00003702452,0.0001319004,0.982137,0.01673188,0.0001799483,0.000008788661,0.00006468478],"study_design_scores_gemma":[0.002797451,0.00008312431,0.00001389729,0.0006615499,0.000006679585,0.00002150942,0.0001634127,0.8234839,0.1723954,0.00005101943,0.00004586362,0.0002761938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.829047,0.0001334493,0.1673228,0.0002981718,0.000139097,0.001773992,0.00005740517,0.0004271007,0.0008009382],"genre_scores_gemma":[0.6636644,0.00005087432,0.3344262,0.000001103778,0.0008961519,0.0002848816,0.00006441165,0.0002631384,0.0003487835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671034,"threshold_uncertainty_score":0.9776567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09377246056000574,"score_gpt":0.3684465583282857,"score_spread":0.27467409776828,"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."}}