{"id":"W1965873451","doi":"10.1080/01496395.2013.868489","title":"Thermodynamic Modeling of Multi-Staged Extraction Systems for Chiral Separations through Coupled Analysis of Species Equilibria and Mass Transfer","year":2013,"lang":"en","type":"article","venue":"Separation Science and Technology","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Chemistry; Enantiomer; Countercurrent exchange; Extraction (chemistry); Mass transfer; Liquid–liquid extraction; Aqueous solution; Partition coefficient; Partition (number theory); Equilibrium constant; Ligand (biochemistry); Phase (matter); Chromatography; Thermodynamics; Physical chemistry; Organic chemistry","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":[0.0001386634,0.00009245972,0.0002564122,0.0002298999,0.000135316,0.00003591233,0.0001201115,0.0001367405,0.00004197478],"category_scores_gemma":[0.00004844614,0.00008142995,0.00005321316,0.001073724,0.0006490079,0.0003407175,0.00001540718,0.00006846312,2.910916e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001521042,"about_ca_system_score_gemma":0.00004206697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002812168,"about_ca_topic_score_gemma":0.000008936549,"domain_scores_codex":[0.9991211,0.000004414914,0.0003117948,0.0002535237,0.0001626526,0.0001465024],"domain_scores_gemma":[0.9993727,0.00004307009,0.00008214905,0.0001792756,0.0002936621,0.00002910624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000075104,0.00002760958,0.00131033,0.00005910236,0.00009042673,7.588159e-8,0.0001195425,0.001627483,0.9888814,0.007844348,0.000001715213,0.00003044494],"study_design_scores_gemma":[0.0002185536,0.00001709496,0.0001176201,0.000009872071,0.000173448,0.000001480293,0.00118315,0.9028603,0.09407784,0.001255571,0.00001002988,0.00007505882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803018,0.0001904697,0.1185526,0.0000718962,0.00001088287,0.000114772,0.00002374223,0.00003300473,0.000700772],"genre_scores_gemma":[0.9990984,0.00006136398,0.000630234,0.000003212441,0.000006533146,0.0000409525,0.000018816,0.000003773676,0.0001367569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9012328,"threshold_uncertainty_score":0.3320617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235911225093186,"score_gpt":0.3153837593129087,"score_spread":0.2830246470619769,"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."}}