{"id":"W4393360497","doi":"10.1007/978-3-031-55552-7_2","title":"Methods to Develop Superhydrophobicity by Electrospinning","year":2024,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on green energy and technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrospinning; Materials science; Nanotechnology; Composite material; 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":[0.000222522,0.0006682596,0.0002702005,0.0005863782,0.000292867,0.0003959185,0.000403948,0.0004201665,0.004778602],"category_scores_gemma":[0.0002134491,0.0004101801,0.0004315838,0.0003022446,0.0004107536,0.0008280216,0.0005799471,0.00162997,0.001673727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610525,"about_ca_system_score_gemma":0.0002308397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405144,"about_ca_topic_score_gemma":0.0008432464,"domain_scores_codex":[0.9997696,0.000008941825,0.000008703788,0.00004548263,0.0001405999,0.00002662427],"domain_scores_gemma":[0.9999367,0.00002366773,0.000007620414,0.000009957318,0.00001630713,0.000005748198],"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":[0.00001315291,0.00006428255,0.00003018076,0.0004535868,0.00001722174,0.00008264378,0.00009064169,0.000491181,0.9068857,0.01204309,0.003112316,0.07671598],"study_design_scores_gemma":[0.0000167373,0.0001180643,0.0003516017,0.00003999089,0.00001729471,0.0002911563,0.00001879105,0.002451179,0.8848405,0.003276135,0.1085529,0.00002549954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1279415,0.06139198,0.5174904,0.002459788,0.004169411,0.0006639209,0.0005029634,0.002863259,0.2825167],"genre_scores_gemma":[0.3827479,0.05454043,0.2683108,0.00213665,0.001007337,0.0007826167,0.0007692015,0.0008290249,0.288876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004778602,"threshold_uncertainty_score":0.01598597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163895316839829,"score_gpt":0.256280829668365,"score_spread":0.2446418764999667,"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."}}