{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009580019,0.00119292,0.0007977217,0.0009066254,0.00210579,0.002251353,0.002263066,0.002455425,0.03671601],"category_scores_gemma":[0.001761097,0.0006502111,0.0006218858,0.0005409822,0.001661966,0.002554226,0.003206137,0.002070432,0.00547836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012059,"about_ca_system_score_gemma":0.002695889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554591,"about_ca_topic_score_gemma":0.005135738,"domain_scores_codex":[0.9987809,0.0002847164,0.00003963973,0.000217941,0.0005549954,0.0001218797],"domain_scores_gemma":[0.9995253,0.0001237589,0.0000241572,0.0001293396,0.0001640146,0.0000333185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007612456,0.0006773998,0.001144954,0.0007665023,0.00006893753,0.001061304,0.0008156485,0.191333,0.06852925,0.2734883,0.02237504,0.4389784],"study_design_scores_gemma":[0.0002895432,0.0008435164,0.0005443251,0.0001131742,0.00005609888,0.0008522483,0.0008876115,0.6836874,0.04648395,0.140449,0.1256861,0.0001068979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01597689,0.0002328809,0.8873827,0.001749635,0.0002386371,0.0004418087,0.0001463496,0.002128784,0.09170239],"genre_scores_gemma":[0.4740899,0.000467738,0.4436795,0.0005130058,0.00009780984,0.0004572425,0.0002090939,0.0002901517,0.08019555],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03671601,"threshold_uncertainty_score":0.1228273,"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."}}