{"id":"W4412616780","doi":"10.1021/acsapm.5c00768","title":"Tailoring the Morphology and Orientation in Immiscible Binary Polymer Blends during Melt-Electrospinning","year":2025,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Polytechnique Montréal","keywords":"Electrospinning; Morphology (biology); Materials science; Polymer blend; Polymer; Binary number; Polymer science; Chemical engineering; Orientation (vector space); Composite material; Polymer chemistry; Copolymer; Geometry; Geology; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001378999,0.000297099,0.0001138652,0.0001631906,0.0001239173,0.0002836996,0.0001088146,0.000160467,0.0005555774],"category_scores_gemma":[0.0002744447,0.0001257852,0.0001094863,0.0001186449,0.0001683794,0.0003660441,0.0001456699,0.0002579985,0.000174035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417771,"about_ca_system_score_gemma":0.00008862744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044775,"about_ca_topic_score_gemma":0.0005643411,"domain_scores_codex":[0.9999119,0.000007031766,0.000007539783,0.00002564995,0.00002967752,0.0000182363],"domain_scores_gemma":[0.999866,0.00003497846,0.00005450181,0.00001007245,0.00001808384,0.00001634336],"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":[0.00001730307,0.000006190404,0.00008359349,0.00001189346,0.00000110251,0.00001155538,0.00001277381,0.00006793258,0.9987274,0.00002561939,0.000004792395,0.001029894],"study_design_scores_gemma":[0.000003373513,0.00005289588,0.001518145,0.000003129331,0.000003022282,0.00002198144,0.000009587743,0.001073489,0.9969302,0.00001538684,0.000366477,0.000002464707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940598,0.0003860612,0.004668638,0.0000164616,0.000009149653,0.00001268456,0.00004686603,0.00008191772,0.0007184619],"genre_scores_gemma":[0.9949392,0.0003673992,0.003939868,0.00001288138,0.00000590093,0.00001495786,0.0000657039,0.00004581285,0.0006082071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005555774,"threshold_uncertainty_score":0.001858592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006168074882232699,"score_gpt":0.2500425354634889,"score_spread":0.2438744605812562,"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."}}