{"id":"W4388659863","doi":"10.58837/chula.the.2016.1400","title":"Effects of hydrothermal treatment on performance of flexible ZnO/PAN nanofibers for toluene vapor removal","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Golden Jubilee (RGJ) Ph.D. Programme; Thailand Research Fund; Chulalongkorn University","keywords":"Nanofiber; Polyacrylonitrile; Hexamethylenetetramine; Electrospinning; Materials science; Nanorod; Zinc; Chemical engineering; Nucleation; Hydrothermal circulation; Toluene; Nanotechnology; Composite material; Chemistry; Organic chemistry; Polymer; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166531,0.0003489652,0.0002149748,0.0001309728,0.0001063822,0.0001721786,0.0001405958,0.0002284638,0.0007610545],"category_scores_gemma":[0.0002068512,0.0001847143,0.0002311701,0.0001132877,0.00008469337,0.000219757,0.00007791649,0.0002114271,0.0001468085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863318,"about_ca_system_score_gemma":0.00009681637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434308,"about_ca_topic_score_gemma":0.003838541,"domain_scores_codex":[0.9998947,0.000007203395,0.0000127746,0.00002870333,0.00003442515,0.00002215449],"domain_scores_gemma":[0.9998902,0.00002946,0.00003235936,0.000007438701,0.00002562474,0.00001493251],"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":[0.00003490887,0.000005654944,0.00004451324,0.00002362798,0.000002186228,0.00001442741,0.000004860096,0.0000479335,0.9993622,0.000004367603,0.00000668181,0.0004486381],"study_design_scores_gemma":[0.00000337859,0.00006641528,0.001007873,0.000001725297,0.000006117607,0.00001606827,0.000005141206,0.000329073,0.9984037,0.000002804544,0.000155345,0.000002414951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963725,0.001307907,0.00129058,0.0000280902,0.00002912146,0.00001157181,0.0001987858,0.00004296785,0.0007186514],"genre_scores_gemma":[0.9962444,0.0007358412,0.001933441,0.00001423055,0.000008241896,0.00001410021,0.0001606248,0.00001718855,0.000872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001434308,"threshold_uncertainty_score":0.002851963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007300571455960212,"score_gpt":0.2664062169500831,"score_spread":0.2591056454941229,"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."}}