{"id":"W2735979023","doi":"","title":"Intensified Flexible Distillation Process for Multi-Period Operation","year":2017,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Process engineering; Process (computing); Distillation; Environmental science; Computer science; Manufacturing engineering; Engineering; Chemistry; Operating system; Chromatography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004579399,0.000323271,0.0002895368,0.0001906554,0.0003161576,0.0002121014,0.0003084244,0.0003711776,0.006937249],"category_scores_gemma":[0.00004899093,0.0003678288,0.0001068503,0.0001426024,0.00002427058,0.0007146553,0.000009252213,0.0002050335,0.00003930624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702149,"about_ca_system_score_gemma":0.0000875493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001290674,"about_ca_topic_score_gemma":0.000595665,"domain_scores_codex":[0.9990592,0.00001411659,0.0002220858,0.0003406196,0.0001431079,0.0002208786],"domain_scores_gemma":[0.9991388,0.000009558856,0.0001557119,0.0002241,0.0003952804,0.00007656237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008958174,0.0001350531,0.0001959549,0.003135055,0.0003992535,0.00001516302,0.006372257,0.1596232,0.003337787,0.003486909,0.003916744,0.8184868],"study_design_scores_gemma":[0.001933544,0.00008276793,0.0003083945,0.0003910596,0.0001955268,0.000002535994,0.005309252,0.7361869,0.01285032,0.00006846388,0.2417579,0.0009133176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001385003,0.0001936631,0.2528479,0.00004041374,0.001644983,0.001245566,0.0001261788,0.0007647524,0.7417516],"genre_scores_gemma":[0.1213239,0.0001039593,0.002554145,0.0000245897,0.0001531684,0.00002297921,0.004039948,0.0001170635,0.8716602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8175735,"threshold_uncertainty_score":0.9998774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129803184391195,"score_gpt":0.2593314028378559,"score_spread":0.2280333709939439,"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."}}