{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706707,0.0001246679,0.0001625321,0.00009369302,0.0001956517,0.00006927718,0.0002220896,0.00003206057,0.0000478873],"category_scores_gemma":[0.00005275104,0.000117644,0.00002010969,0.0002972644,0.0001952395,0.0002408495,0.0001422232,0.00005583833,0.00002778362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001910853,"about_ca_system_score_gemma":0.0001121781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005015159,"about_ca_topic_score_gemma":8.302374e-7,"domain_scores_codex":[0.9987848,0.00001726708,0.0002764242,0.0003428287,0.000338452,0.0002401648],"domain_scores_gemma":[0.9994535,0.00003187916,0.0002062517,0.000206312,0.000053901,0.00004815049],"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":[0.000008193933,0.00001391748,0.01453984,0.00004039459,0.000001634153,6.424532e-7,0.0002016823,0.0008318725,0.9842634,0.000007536697,6.280363e-7,0.00009025048],"study_design_scores_gemma":[0.0001556398,0.00003463341,0.002502006,0.00008184064,0.000004908833,0.000008336309,0.00007614253,0.01926131,0.9776942,8.919986e-7,0.00003896031,0.0001411672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948238,0.00007606047,0.004448656,0.00002417009,0.0002758175,0.0001445123,0.000004446739,0.00003733381,0.0001652597],"genre_scores_gemma":[0.9834881,0.000003584268,0.01640343,0.00006898699,0.000004911468,0.000004253471,0.000001202722,0.000009107303,0.00001638225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01842944,"threshold_uncertainty_score":0.4797383,"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."}}