{"id":"W4406703262","doi":"10.1002/bip.23656","title":"Evaluating Electrospun Polycaprolactone Fibers for Blood‐Contacting Applications","year":2025,"lang":"en","type":"article","venue":"Biopolymers","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Chemistry; Polycaprolactone; Dialysis; Adsorption; Protein adsorption; Biophysics; Fiber; Surgery; Polymer; Organic chemistry","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":[0.0004057371,0.000373951,0.0001000476,0.0002880731,0.0001611191,0.0002473354,0.0001523399,0.0004538377,0.0008586097],"category_scores_gemma":[0.0005104688,0.00009063924,0.000201718,0.0001716858,0.0001316043,0.0004017603,0.0001339193,0.0001595435,0.0001482806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970469,"about_ca_system_score_gemma":0.00009369594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002797174,"about_ca_topic_score_gemma":0.0005208552,"domain_scores_codex":[0.9998068,0.00002981041,0.00001344995,0.000039548,0.00008071578,0.00002970472],"domain_scores_gemma":[0.9996588,0.0001220122,0.00008992815,0.00001494007,0.00008796862,0.00002634314],"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":[0.0000340337,0.00002544302,0.0001935593,0.00005866974,0.000003706143,0.00006455486,0.00002299326,0.0002207782,0.997282,0.00002087273,0.00001351467,0.002059872],"study_design_scores_gemma":[0.000005699922,0.0005280724,0.003064931,0.000008536131,0.00001106912,0.00009071585,0.00004633582,0.001432263,0.9938373,0.0000300753,0.00093939,0.000005727013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932516,0.001059796,0.004621835,0.00003380709,0.0000281758,0.00006275612,0.00007678386,0.00003321219,0.0008318966],"genre_scores_gemma":[0.9891413,0.0009619102,0.008431496,0.00004099194,0.00001692439,0.00006325397,0.0001217006,0.00001629791,0.001206005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008586097,"threshold_uncertainty_score":0.002872348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830372923831489,"score_gpt":0.3592634189093211,"score_spread":0.3409596896710061,"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."}}