{"id":"W2039215721","doi":"10.5539/mas.v2n1p47","title":"Antibacterial Activated Carbon Fibers Prepared by a New Technology","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activated carbon; Carbonization; Materials science; Adsorption; Acrylonitrile; Methylene blue; Scanning electron microscope; Polyacrylonitrile; Specific surface area; Fiber; Absorption capacity; Chemical engineering; Copolymer; Dimethylformamide; Nuclear chemistry; BET theory; Absorption (acoustics); Morphology (biology); Composite material; Chemistry; Catalysis; Organic chemistry; Polymer; Photocatalysis; Solvent","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":[0.0001354367,0.0003991003,0.000190716,0.0007688133,0.0002423014,0.0002552528,0.0002395162,0.0004858053,0.0009661921],"category_scores_gemma":[0.0001413714,0.0001563001,0.0002295518,0.0003033249,0.0001961632,0.0004067989,0.0001550573,0.0005093084,0.0003394742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359798,"about_ca_system_score_gemma":0.000200944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003338314,"about_ca_topic_score_gemma":0.0006746434,"domain_scores_codex":[0.9998108,0.000008436637,0.00001330029,0.00005242438,0.0000980392,0.00001702339],"domain_scores_gemma":[0.9999092,0.00001354106,0.00002030989,0.00001128029,0.00003085606,0.0000148378],"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":[0.00001044291,0.000008806229,0.000078514,0.00006448698,0.000003105931,0.00003173257,0.000008099699,0.00003318486,0.9926578,0.0002000204,0.00004754201,0.006856219],"study_design_scores_gemma":[0.000008951484,0.0001195528,0.00122407,0.000009090629,0.00001230584,0.000551308,0.000008292139,0.0005130957,0.9846302,0.00007960852,0.01283556,0.000008054411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8053167,0.02152018,0.1468052,0.0005891948,0.000805403,0.0003103036,0.0006094858,0.000851045,0.02319245],"genre_scores_gemma":[0.8476495,0.00699319,0.1294151,0.0002297735,0.0001838765,0.0002383782,0.0007348761,0.00007322226,0.01448206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009661921,"threshold_uncertainty_score":0.003232241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500024089474473,"score_gpt":0.2037460880357692,"score_spread":0.1952460639462947,"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."}}