{"id":"W2968917541","doi":"","title":"Practical Approach to Distillation Tower Revamp","year":2019,"lang":"en","type":"article","venue":"2019 Spring Meeting and 15th Global Congress on Process Safety","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Distillation; Computer science; Fractionating column; Tower; Process engineering; Environmental science; Engineering; Chemistry; Chromatography; Civil engineering","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":[0.0002765078,0.000224188,0.0002274425,0.00005730537,0.00009805379,0.0001272896,0.0001176442,0.0001242699,0.00002775659],"category_scores_gemma":[0.0002249734,0.0002047016,0.0000331117,0.0002634806,0.00002206151,0.0003004171,0.00003600517,0.0001849397,0.00009823451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039714,"about_ca_system_score_gemma":0.00003791028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001925557,"about_ca_topic_score_gemma":0.000005123259,"domain_scores_codex":[0.9987313,0.00002583962,0.0003011671,0.0003744874,0.0002808486,0.0002863275],"domain_scores_gemma":[0.9993712,0.00004444577,0.00006953342,0.0002025392,0.0001588299,0.0001534349],"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":[0.0004448785,0.0001385067,0.02179832,0.0008223252,0.00008410094,0.000002434813,0.000383275,0.9264848,0.0002361298,0.03740335,0.004367038,0.007834886],"study_design_scores_gemma":[0.001864608,0.0002605947,0.01148641,0.001131407,0.00006665129,0.00003349249,0.0005444423,0.9264351,0.002553596,0.0004903901,0.05366168,0.001471637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2336593,0.0005286072,0.1483495,0.0007955838,0.00241689,0.001356771,0.00008211665,0.001370172,0.6114411],"genre_scores_gemma":[0.9938532,0.00009693218,0.005273404,0.0002048089,0.00006984982,0.00001756045,0.00002343812,0.00002597476,0.0004348679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7601939,"threshold_uncertainty_score":0.8347488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102634901808764,"score_gpt":0.2664826672358057,"score_spread":0.2562191770549292,"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."}}