{"id":"W2121838790","doi":"10.6000/1929-6037.2014.03.03.2","title":"Molecularly Imprinted Nanofiber Membranes: Localization of Molecular Recognition Sites on the Surface of Nanofiber","year":2014,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofiber; Membrane; Chemistry; Electrospinning; Polymer chemistry; Molecular recognition; Chemical engineering; Molecule; Materials science; Nanotechnology; Organic chemistry; Polymer; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314123,0.0001245666,0.0002961394,0.0002055523,0.00005456062,0.00001236674,0.0001881279,0.0002251547,0.0004585979],"category_scores_gemma":[0.0001593868,0.00009233109,0.00009142577,0.0004018719,0.0001324269,0.00006847468,0.00002804915,0.0001817862,0.000002438663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809367,"about_ca_system_score_gemma":0.00002216448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006655122,"about_ca_topic_score_gemma":0.000001744208,"domain_scores_codex":[0.9989121,0.00004611198,0.0005801158,0.0001371351,0.0002159045,0.0001086266],"domain_scores_gemma":[0.9984694,0.000142443,0.0007120863,0.0002746151,0.000371332,0.00003019935],"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":[0.00004620021,0.00008319622,0.0001895864,0.00009513935,0.0000474105,9.812683e-7,0.00003893493,0.0001142287,0.9831401,0.01485492,0.00005384098,0.001335455],"study_design_scores_gemma":[0.0003395815,0.0002130696,0.00001077263,0.00008310044,0.00005423917,0.00004673867,0.00009395205,0.001877969,0.985995,0.009842734,0.001357106,0.00008574793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625459,0.0001980648,0.03193548,0.001093319,0.00001577721,0.0001044769,0.000007402918,0.00003053114,0.004069082],"genre_scores_gemma":[0.9970483,0.0002874602,0.002456773,0.00008303549,0.00001724891,0.00000619204,0.00001189182,0.00001351973,0.00007561201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03450239,"threshold_uncertainty_score":0.5021326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036680838428469,"score_gpt":0.2529025234806795,"score_spread":0.2425357150963948,"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."}}