{"id":"W2124169794","doi":"10.6000/1929-6037.2012.01.02.1","title":"Chiral Separation of D,L-Mandelic Acid Using An Enantioselective Membrane Formed by Polycondensation of β-Cyclodextrin with 1,6-Diisocyanatohexane on A Polysulfone Membrane","year":2012,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandelic acid; Polysulfone; Enantioselective synthesis; Membrane; Chemistry; Trimesic acid; Condensation polymer; Enantiomer; Chiral resolution; Cyclodextrin; Enantiomeric excess; Polymer chemistry; Aqueous solution; Thin-film composite membrane; Interfacial polymerization; Racemic mixture; Organic chemistry; Polymer; Catalysis; Monomer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805523,0.000383069,0.0002025717,0.0002166378,0.0001560127,0.0002895289,0.0001849857,0.0003552379,0.0003337643],"category_scores_gemma":[0.0001447294,0.0001582562,0.0001975571,0.0001472525,0.0001880133,0.0002554047,0.0001990288,0.0004160554,0.0002762727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141515,"about_ca_system_score_gemma":0.0002915079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004861817,"about_ca_topic_score_gemma":0.0006853225,"domain_scores_codex":[0.9998908,0.00001648208,0.000008882061,0.00003360502,0.00002965836,0.00002041899],"domain_scores_gemma":[0.9999353,0.00001298555,0.00002080246,0.000005513344,0.00001079069,0.00001457357],"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":[0.00001105035,0.000003755707,0.00002545293,0.00001016805,0.000001185107,0.00002565304,0.000003449455,0.00003245055,0.9993739,0.00006066302,0.000005921841,0.0004464008],"study_design_scores_gemma":[0.000001424462,0.00001460298,0.0001471547,8.842029e-7,0.000001733806,0.00004463474,0.000003289489,0.0002545937,0.9991653,0.000005859854,0.0003588611,0.000001586672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837767,0.001585506,0.0123941,0.00009722502,0.00004175702,0.00003282417,0.00009450904,0.00009058757,0.001886747],"genre_scores_gemma":[0.9798139,0.001592719,0.01576006,0.00005636457,0.00002072523,0.00002351427,0.0001056084,0.0000208917,0.002606244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004861817,"threshold_uncertainty_score":0.002279282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009642845736857263,"score_gpt":0.253595742249924,"score_spread":0.2439528965130668,"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."}}