{"id":"W3169370499","doi":"10.1016/j.cej.2021.130511","title":"Continuous removal of ethanol from dilute ethanol-water mixtures using hot microbubbles","year":2021,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovate UK; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Emissions Reduction Alberta","keywords":"Ethanol; Ethanol fuel; Chemistry; Industrial fermentation; Bioreactor; Stripping (fiber); Fermentation; Chromatography; Air stripping; Biofuel; Ethanol fermentation; Pulp and paper industry; Materials science; Waste management; Biochemistry; Organic chemistry; Wastewater","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009865996,0.0001944348,0.0002811552,0.0000782268,0.00003078114,0.00004743236,0.0001449421,0.0002114352,0.0002185702],"category_scores_gemma":[0.00004778044,0.0001660724,0.000151573,0.0001119212,0.00003415518,0.0001037351,0.00005761978,0.0005488842,0.000009506821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007349414,"about_ca_system_score_gemma":0.00002103551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004363033,"about_ca_topic_score_gemma":3.926776e-8,"domain_scores_codex":[0.9989963,0.00001344148,0.0003340731,0.0001751743,0.0001781601,0.0003028935],"domain_scores_gemma":[0.9995307,0.00002524857,0.00003747581,0.000172271,0.00009928364,0.0001350035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001253009,0.00001783831,0.00001167829,0.0001108466,0.00009357218,0.0001377943,0.0001271566,0.006186872,0.9921643,0.000001857178,0.0003858002,0.0007497254],"study_design_scores_gemma":[0.0003979267,0.000006206543,0.00001321703,0.0001339205,0.00003788876,0.001318595,0.00002122842,0.01423291,0.9766124,0.00002964124,0.006979889,0.0002161876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691793,0.003813371,0.02509262,0.0001341707,0.001490271,0.00004147899,0.00001526547,0.000145572,0.00008796267],"genre_scores_gemma":[0.9555432,0.0001943932,0.04316815,0.00004038,0.0008907578,7.83416e-7,0.00002700408,0.00005696435,0.00007839003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01807553,"threshold_uncertainty_score":0.6772237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049841529240965,"score_gpt":0.1966516209983362,"score_spread":0.1861532057059265,"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."}}