{"id":"W2996513564","doi":"10.1002/mabi.201900253","title":"Development, Validation, and Performance of Chitosan‐Based Coatings Using Catechol Coupling","year":2019,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Chitosan; Caffeic acid; Biocompatibility; Contact angle; Catechol; Chemistry; Chemical engineering; Polymer; Coating; Grafting; Polymer chemistry; Materials science; Nuclear chemistry; Organic chemistry; Antioxidant","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009489733,0.000852446,0.0002729042,0.0004794537,0.0002713162,0.0004509511,0.0004717451,0.0006518535,0.0004834533],"category_scores_gemma":[0.001334106,0.0002898075,0.0004488642,0.0004077962,0.0003183791,0.0002895993,0.0002994096,0.0003656754,0.0002368169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843795,"about_ca_system_score_gemma":0.0003305215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032773,"about_ca_topic_score_gemma":0.00260914,"domain_scores_codex":[0.9993472,0.00009179544,0.00006428058,0.0001393226,0.0002850732,0.00007231134],"domain_scores_gemma":[0.9991294,0.0001786496,0.0002022636,0.0001122893,0.00030391,0.00007356431],"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":[0.00001932496,0.00001560016,0.0001285518,0.00003485932,0.000005372334,0.00001165147,0.00001356913,0.00004952085,0.9987179,0.00001004589,0.000004891529,0.0009887363],"study_design_scores_gemma":[0.000002354473,0.0001939576,0.001069154,0.000003110081,0.00001235376,0.00003758889,0.000005907003,0.0002951034,0.9981313,0.000002534373,0.0002431405,0.000003371473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769303,0.002118669,0.01919407,0.00004138934,0.00003496685,0.0002545842,0.0001591349,0.0001028543,0.001164171],"genre_scores_gemma":[0.9695388,0.001759418,0.02641248,0.00003062519,0.00001310087,0.0001193859,0.000339922,0.00005107833,0.001735148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002032773,"threshold_uncertainty_score":0.005018771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885166756660169,"score_gpt":0.2653295295838062,"score_spread":0.2464778620172045,"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."}}