{"id":"W2093303455","doi":"10.4028/www.scientific.net/amr.936.784","title":"Preparation, Characterization of Cellulose Fibers Grafting by β-Cyclodextrin and their Application for Antibacterial Products","year":2014,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Cellulose; Cellulose fiber; Cyclodextrin; Grafting; Fourier transform infrared spectroscopy; Magic angle spinning; Polymer chemistry; Materials science; Citric acid; Nuclear chemistry; Chemistry; Chemical engineering; Organic chemistry; Nuclear magnetic resonance spectroscopy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989388,0.0002351864,0.000461435,0.0001616229,0.0003697301,0.0001200567,0.0003176248,0.0000966951,0.0000322882],"category_scores_gemma":[0.001291101,0.0002003871,0.00002800647,0.0003257783,0.0004193645,0.0005945845,0.0002698275,0.00009730598,0.00001799218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000712333,"about_ca_system_score_gemma":0.0000698299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002911033,"about_ca_topic_score_gemma":0.000003648687,"domain_scores_codex":[0.9970117,0.0004791255,0.000600107,0.000761555,0.0004597457,0.0006877316],"domain_scores_gemma":[0.9976338,0.0005519661,0.000304481,0.0005001528,0.0009024485,0.0001071285],"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":[0.00060297,0.00006899298,0.00001519709,0.0004694454,0.000009161662,1.129292e-7,0.0003611358,0.000007436035,0.9914835,0.0009022906,0.00009456482,0.005985198],"study_design_scores_gemma":[0.0007058708,0.0003338164,0.0001316073,0.00005364345,0.000004485606,0.000001315462,0.00006493819,0.0001381201,0.984964,0.001752897,0.01166044,0.0001888606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749583,0.0001155941,0.02178656,0.0002373902,0.0002258622,0.002191866,0.0003250081,0.00007557285,0.00008386287],"genre_scores_gemma":[0.9937721,0.0003085524,0.004040509,0.00001056487,0.0002670572,0.0007638963,0.000412697,0.00004844218,0.0003761654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881384,"threshold_uncertainty_score":0.8171549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338579987822691,"score_gpt":0.3403991010106433,"score_spread":0.3170133011324164,"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."}}