{"id":"W1985441604","doi":"10.5539/mas.v3n2p154","title":"Nanotechnology in Textiles Finishment","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanometre; Textile; Nanotechnology; Materials science; Cover (algebra); Fiber; Composite material; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003445914,0.000464722,0.0004411026,0.00129595,0.0008404604,0.001686435,0.0003352996,0.0009531599,0.01065414],"category_scores_gemma":[0.0005218335,0.0002331365,0.0003652174,0.0009007208,0.001609138,0.002368845,0.0008323424,0.001260359,0.003266462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066235,"about_ca_system_score_gemma":0.000346401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003758452,"about_ca_topic_score_gemma":0.0007249556,"domain_scores_codex":[0.9996436,0.00007303106,0.00003126758,0.00007464852,0.0001393842,0.00003813859],"domain_scores_gemma":[0.9997925,0.00009516923,0.00003201034,0.00002291127,0.00004202494,0.00001530777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008177544,0.00007437549,0.0006009017,0.001663642,0.00002358077,0.001015344,0.0006315595,0.001738229,0.04535646,0.5775788,0.03195404,0.3392812],"study_design_scores_gemma":[0.00000353061,0.000126776,0.0005619159,0.0003468615,0.000007107734,0.001710749,0.0001788694,0.000660803,0.01477082,0.09936168,0.8822337,0.00003704654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01607392,0.4863933,0.06337571,0.008083235,0.01243256,0.00007446902,0.0001514044,0.0004013291,0.4130141],"genre_scores_gemma":[0.1751675,0.336183,0.08262795,0.005561797,0.00433368,0.0001523384,0.0002677788,0.0003340402,0.3953719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01065414,"threshold_uncertainty_score":0.03564167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007141466616111009,"score_gpt":0.2498488852453971,"score_spread":0.2427074186292861,"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."}}