{"id":"W2043829071","doi":"10.1002/cjce.5450850409","title":"Using Dynamic Optimization Technique to Study the Operation of Batch Reactors","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Simulated annealing; Robustness (evolution); Mathematical optimization; Computer science; Continuous stirred-tank reactor; Batch reactor; Optimal control; Dynamic programming; Batch processing; Control theory (sociology); Control (management); Mathematics; Engineering; Chemical engineering; Chemistry","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":[0.0004397435,0.0004989314,0.0006913699,0.0003394875,0.0003426201,0.0005770169,0.0004384276,0.0007237804,0.0009477139],"category_scores_gemma":[0.0008118001,0.0004664815,0.0005429113,0.0003077842,0.0005416578,0.0004533112,0.0002946078,0.000636087,0.0001179383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794909,"about_ca_system_score_gemma":0.0007992492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0056743,"about_ca_topic_score_gemma":0.002233388,"domain_scores_codex":[0.9998436,0.00005968652,0.000004945622,0.0000263318,0.00004428476,0.00002116952],"domain_scores_gemma":[0.9997726,0.0001684019,0.00002157677,0.00000925086,0.00002134303,0.000006856806],"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":[0.00001689428,0.00001701442,0.0001801711,0.00002410778,0.00001574738,0.00002416253,0.00001132229,0.988206,0.005124403,0.003498494,0.00005805042,0.002823669],"study_design_scores_gemma":[0.000003235493,0.00001514867,0.00008026835,0.000001499619,0.000002552955,0.000003832396,0.000003062007,0.9979647,0.0009541821,0.0007885159,0.0001805194,0.00000246886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1379164,0.0007742522,0.8516561,0.0003029912,0.00003729896,0.0000808594,0.00004879839,0.0001888456,0.008994447],"genre_scores_gemma":[0.9423819,0.0004224841,0.05417352,0.00003663734,0.00001412872,0.0001591846,0.00005206674,0.0000293904,0.002730674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0056743,"threshold_uncertainty_score":0.01128256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008435236368481841,"score_gpt":0.2247679640952473,"score_spread":0.2163327277267654,"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."}}