{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005940771,0.0002552211,0.0003572568,0.0002430498,0.0004118836,0.0001625798,0.0004464459,0.0001640102,0.0003591191],"category_scores_gemma":[0.00000974276,0.0002051698,0.00002180333,0.0007438365,0.0003487167,0.0001342329,0.0003331602,0.0001479402,0.00006638285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009667894,"about_ca_system_score_gemma":0.00009458017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002545296,"about_ca_topic_score_gemma":0.000009488255,"domain_scores_codex":[0.9978453,0.00008056626,0.0005827678,0.0006132723,0.0002274831,0.0006506323],"domain_scores_gemma":[0.9991297,0.0001182503,0.0001793642,0.0004843479,0.00002396366,0.00006440964],"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":[0.00009604723,0.00003148131,0.0002329809,0.0000419464,0.0000125159,0.00000320973,0.0002586651,8.678048e-7,0.9585687,0.04030739,0.0001277024,0.0003184969],"study_design_scores_gemma":[0.0006101478,0.00002617892,0.00396739,0.00003225405,0.00002928222,0.00001197826,0.0001285126,0.000001185278,0.9929022,0.001947319,0.0001442532,0.0001993009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946564,0.001170677,0.00011236,0.002053789,0.0004673399,0.0004670345,0.0000169719,0.000117767,0.0009376587],"genre_scores_gemma":[0.9973946,0.0001066373,0.0003045337,0.0005424396,0.0001556666,0.0006464086,0.00002532201,0.00002950111,0.0007948563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03836007,"threshold_uncertainty_score":0.8366579,"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."}}