{"id":"W4383425881","doi":"10.1016/b978-0-08-101097-6.00001-8","title":"Distillation","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process engineering; Distillation; Refinery; Process (computing); Continuous distillation; Product (mathematics); Batch distillation; Vacuum distillation; Unit operation; Fractional distillation; Engineering; Computer science; Waste management; Chemistry; Mathematics; Chromatography; Chemical engineering; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004392549,0.0001978815,0.0001722517,0.000117013,0.0000344791,0.00003615484,0.00008234841,0.0002068727,0.0002119497],"category_scores_gemma":[0.000009591127,0.0001989984,0.00007113726,0.0000113636,0.00001991358,0.00003910457,0.00001455513,0.0001938648,0.0009838778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005765227,"about_ca_system_score_gemma":0.00001608692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.525456e-8,"about_ca_topic_score_gemma":0.000007998201,"domain_scores_codex":[0.9993923,0.000002261164,0.0002176479,0.0001403489,0.0001414817,0.0001059536],"domain_scores_gemma":[0.9996742,0.00001394217,0.00004165251,0.000170364,0.00005531814,0.00004451363],"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":[9.620777e-7,3.633199e-7,3.080013e-7,0.00006783646,0.00002837529,0.000001985836,0.00005634498,0.001732967,0.000008519225,0.01625302,0.0010958,0.9807535],"study_design_scores_gemma":[0.00005635293,0.000006844992,0.000003815107,0.0001453145,0.00002335083,0.000001388553,0.000001592276,0.01321974,0.00004001247,0.008613751,0.97765,0.0002378436],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[8.758055e-7,0.0001887724,0.0006614319,0.00001202092,0.0005544208,0.0001512718,0.00002437325,0.0008216006,0.9975852],"genre_scores_gemma":[0.0005722013,0.0002485232,0.0001993194,0.00004032692,0.0002013702,0.00001665268,0.000153988,0.0001209287,0.9984467],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9805157,"threshold_uncertainty_score":0.9997939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415521127112353,"score_gpt":0.212645918107137,"score_spread":0.1984907068360135,"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."}}