{"id":"W4402302530","doi":"10.1016/j.nanoen.2024.110203","title":"Coaxial electrospinning: Design, characterization, mechanistic insights and their emerging applications in solar cells","year":2024,"lang":"en","type":"article","venue":"Nano Energy","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Qatar University","keywords":"Materials science; Characterization (materials science); Nanotechnology; Electrospinning; Coaxial; Systems engineering; Mechanical engineering; Composite material; Engineering; Polymer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002645509,0.00034909,0.0001431771,0.0002490938,0.0001982074,0.0003770855,0.0002340561,0.00033947,0.0007371651],"category_scores_gemma":[0.0004568292,0.0001238609,0.0001301949,0.0002318433,0.0002495226,0.0005726268,0.0001569882,0.0003972834,0.000260494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658625,"about_ca_system_score_gemma":0.0001700242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005119128,"about_ca_topic_score_gemma":0.001563482,"domain_scores_codex":[0.9998651,0.00001012073,0.00000922545,0.00004055607,0.00005932495,0.00001568938],"domain_scores_gemma":[0.9997112,0.00007097685,0.00009803356,0.00002577013,0.00007271284,0.00002128437],"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":[0.00002702799,0.00002408676,0.0001237736,0.00005857402,0.00000300691,0.00002452941,0.00001309321,0.0001977209,0.9944698,0.0001811234,0.00005293751,0.00482441],"study_design_scores_gemma":[0.000006591677,0.0001003501,0.001499687,0.000005655856,0.000005631561,0.00007714867,0.00001071056,0.002544096,0.9937966,0.00005150204,0.001895682,0.000006239142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301775,0.01311924,0.04786341,0.000355679,0.0001011642,0.0001990502,0.0003535199,0.0002572248,0.007573258],"genre_scores_gemma":[0.9647275,0.004907627,0.02608266,0.00007473798,0.00006411171,0.00009890764,0.0001927172,0.00005603374,0.003795788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007371651,"threshold_uncertainty_score":0.002466023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006495895215621286,"score_gpt":0.2190909255327364,"score_spread":0.2125950303171151,"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."}}