{"id":"W4404712260","doi":"10.3390/polym16233297","title":"Electrospinning and Rheological Characterization of Polyethylene Terephthalate and Polyvinyl Alcohol with Different Degrees of Hydrolysis Incorporating Molecularly Imprinted Polymers","year":2024,"lang":"en","type":"article","venue":"Polymers","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fonds National de la Recherche Luxembourg; University of Johannesburg; National Research Foundation","keywords":"Polyvinyl alcohol; Polyethylene terephthalate; Materials science; Rheology; Electrospinning; Polymer; Hydrolysis; Polymer science; Polymer chemistry; Chemical engineering; Characterization (materials science); Composite material; Organic chemistry; Chemistry; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001988806,0.0002919679,0.0001187418,0.0002540757,0.00006429434,0.0001356958,0.0001147973,0.0001636242,0.0006676548],"category_scores_gemma":[0.0004728136,0.0001092913,0.0001458672,0.0001471729,0.0001351009,0.0002801437,0.00008730971,0.0002549824,0.0001735086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008331906,"about_ca_system_score_gemma":0.0000660672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180258,"about_ca_topic_score_gemma":0.0002936339,"domain_scores_codex":[0.9998609,0.00001532742,0.00001147489,0.00002931824,0.00006753007,0.00001538718],"domain_scores_gemma":[0.9997371,0.00008802543,0.00008554155,0.00001808034,0.00005538876,0.00001586518],"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":[0.00001112422,0.000003926655,0.0000468719,0.0000130728,0.000001641288,0.00002114095,0.000008135148,0.00004980061,0.9987504,0.00001121989,0.000004337302,0.001078377],"study_design_scores_gemma":[0.000001630744,0.00004934173,0.001905765,0.000002388871,0.00000517953,0.00006029216,0.00000629956,0.0006462765,0.9969559,0.000008620098,0.0003560214,0.000002211452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731891,0.001399526,0.02311189,0.00004442515,0.00003071904,0.00004927726,0.0001737699,0.0001349635,0.001866174],"genre_scores_gemma":[0.9818464,0.001053633,0.01454206,0.00003494709,0.00001236307,0.00005199261,0.0002680262,0.00005844304,0.002132084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006676548,"threshold_uncertainty_score":0.002233565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274944150457691,"score_gpt":0.2324365363261843,"score_spread":0.2251615921757266,"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."}}