{"id":"W2903590503","doi":"10.3390/polym10121387","title":"Electrospun Polycaprolactone Nanofibers as a Reaction Membrane for Lateral Flow Assay","year":2018,"lang":"en","type":"article","venue":"Polymers","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran Telecommunication Research Center; Universiti Malaya; Ministry of Higher Education, Malaysia","keywords":"Nanofiber; Polycaprolactone; Electrospinning; Materials science; Membrane; Porosity; Fabrication; Analyte; Chemical engineering; Biosensor; Nitrocellulose; Polyamide; Nanotechnology; Polymer chemistry; Polymer; Composite material; Chromatography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008801643,0.0001323467,0.0001298014,0.00007581233,0.00008464989,0.00003015736,0.0000525844,0.0001123656,0.000142963],"category_scores_gemma":[0.00001367864,0.0001258599,0.00009162522,0.0001560751,0.00004400951,0.0001110091,0.000005256057,0.00008802234,0.0001286084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006095081,"about_ca_system_score_gemma":0.000009243091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000748472,"about_ca_topic_score_gemma":0.00002389437,"domain_scores_codex":[0.9992625,0.00001155039,0.000136399,0.0001621114,0.0001026339,0.0003247804],"domain_scores_gemma":[0.9997183,0.00002589277,0.00001915836,0.0001188228,0.00002568258,0.00009214063],"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":[0.00008568208,0.00001035674,0.000008907778,0.00002078235,0.00006138604,8.914147e-7,0.00006819956,0.0000139201,0.9760816,0.0001365029,0.0006285166,0.02288331],"study_design_scores_gemma":[0.0004097381,0.0002026259,0.0001646291,0.00001141706,0.00004057655,0.00001420041,0.00001609554,0.06531628,0.919486,0.0001796245,0.0139482,0.000210626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094015,0.0005547735,0.03340768,0.001717699,0.004502609,0.00078843,0.00005288543,0.001847368,0.04772704],"genre_scores_gemma":[0.9961132,0.0000240099,0.0008136965,0.0001615376,0.0004842776,0.00001504268,0.00001239606,0.00003956152,0.002336266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0867117,"threshold_uncertainty_score":0.5132418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006247995473651653,"score_gpt":0.2178773675511909,"score_spread":0.2116293720775393,"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."}}