{"id":"W4406194498","doi":"10.1002/adsu.202400898","title":"Nano‐Porous Melt‐Blown Poly(Lactic Acid) Fiber Mat Air Filters for High Efficiency Particulate Capture","year":2025,"lang":"en","type":"article","venue":"Advanced Sustainable Systems","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Particulates; Lactic acid; Porosity; Materials science; Fiber; Nano-; Composite material; Chemistry; Bacteria; Geology; 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":[0.0001388091,0.0002005518,0.0001385018,0.0002514523,0.0001178006,0.0002330279,0.0001633843,0.0002572016,0.0005564627],"category_scores_gemma":[0.0001540108,0.0001201319,0.0002594205,0.0001123484,0.0001222345,0.0003867324,0.0001597708,0.0002650172,0.0002264899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701785,"about_ca_system_score_gemma":0.0001152795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597428,"about_ca_topic_score_gemma":0.001225558,"domain_scores_codex":[0.9998825,0.000009789259,0.000006789648,0.00002252349,0.0000595876,0.00001882075],"domain_scores_gemma":[0.9998809,0.00002535488,0.00004465981,0.00001100072,0.00002438661,0.0000136257],"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":[0.00001223354,0.00001036223,0.00005915661,0.00002336727,0.000002621877,0.0000152495,0.000005693847,0.00009705101,0.9979191,0.00004309542,0.00001713734,0.001794954],"study_design_scores_gemma":[0.00000337586,0.00009429417,0.0008835957,0.000003586675,0.000005215677,0.0000590895,0.000007912694,0.001554484,0.9962168,0.000014557,0.001153284,0.000003867329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487101,0.001540116,0.04705402,0.00008226201,0.00004894898,0.00005381935,0.0001457044,0.0003520327,0.00201284],"genre_scores_gemma":[0.9766687,0.0005951288,0.02095431,0.00002917027,0.00001518456,0.00002895475,0.0001028736,0.00002888365,0.001576907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005564627,"threshold_uncertainty_score":0.001861572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003623438255531164,"score_gpt":0.2408925997019268,"score_spread":0.2372691614463957,"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."}}