{"id":"W7115170391","doi":"10.1002/mame.70137","title":"Issue Information: Macromol. Mater. Eng. 12/2025","year":2025,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Istanbul Teknik Üniversitesi; Korea Advanced Institute of Science and Technology; Luleå Tekniska Universitet; Universität Stuttgart; Donghua University; Euskal Herriko Unibertsitatea; Chungnam National University; Marmara Üniversitesi; RMIT University; Case Western Reserve University; National University of Singapore; University College London; Nottingham Trent University; Sichuan University; Iowa State University; Kungliga Tekniska Högskolan; University of Alberta; Danmarks Tekniske Universitet; Trent University","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003189941,0.0002241764,0.0002747236,0.0001465668,0.0001434425,0.0003579365,0.0002717591,0.0001344341,0.0008383082],"category_scores_gemma":[0.00003341677,0.0002169956,0.00003416427,0.000226242,0.00006967638,0.000236504,0.0002091935,0.00007617925,0.0003261194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004841321,"about_ca_system_score_gemma":0.00003048451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004196469,"about_ca_topic_score_gemma":7.526563e-7,"domain_scores_codex":[0.9987006,0.00002725743,0.0004243246,0.0002585491,0.0001842261,0.0004050338],"domain_scores_gemma":[0.9994301,0.00003301606,0.00006307879,0.0003290223,0.00004456532,0.0001002346],"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":[0.00000967055,0.0000120371,0.000008315625,0.000223202,0.00001475321,0.000006182468,0.00006091983,0.00001729018,0.9903837,0.006910766,0.001531038,0.0008221613],"study_design_scores_gemma":[0.0002643558,0.00002154097,0.0003262608,0.00007982304,0.00002263198,0.00001904561,0.00001061372,0.0001237678,0.8897424,0.0005087377,0.1086716,0.0002092288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038692,0.0006418501,0.08582416,0.001816354,0.002919562,0.0006852684,0.0001437817,0.0006671232,0.003432726],"genre_scores_gemma":[0.9660658,0.00015871,0.03112207,0.001169104,0.0001963551,0.0002705807,0.000110403,0.00003685763,0.0008701791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071405,"threshold_uncertainty_score":0.9178888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002705331134121422,"score_gpt":0.2058577245140208,"score_spread":0.2031523933798994,"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."}}