{"id":"W3186261995","doi":"10.1021/acsami.1c07515","title":"Rapid Assembly of Infection-Resistant Coatings: Screening and Identification of Antimicrobial Peptides Works in Cooperation with an Antifouling Background","year":2021,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Coating; Biofilm; Biofouling; Bifunctional; Materials science; Adhesion; Polymer; Substrate (aquarium); Nanotechnology; Antimicrobial peptides; Combinatorial chemistry; Antimicrobial; Steric effects; Chemical engineering; Bacteria; Chemistry; Organic chemistry; Biochemistry; Composite material; Catalysis; Membrane","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":[0.0003756914,0.0001734137,0.0004302524,0.0001059552,0.0001090279,0.0001192033,0.0000790384,0.0001579569,0.0000658787],"category_scores_gemma":[0.00002288283,0.0001590423,0.00001252392,0.0001335837,0.0002496024,0.0003391938,0.00007894391,0.0001085868,0.000003647217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001269043,"about_ca_system_score_gemma":0.00004058998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004524992,"about_ca_topic_score_gemma":0.0003026217,"domain_scores_codex":[0.9987426,0.0001214957,0.000607835,0.0003092948,0.00003515788,0.0001836321],"domain_scores_gemma":[0.9991693,0.00008327942,0.0004276243,0.0001727033,0.000137907,0.000009220801],"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":[0.0006647875,0.0001150746,0.0003465736,0.0001587218,0.00006975546,0.000001185657,0.000612676,0.0001573027,0.9962336,0.0004409091,0.00002335563,0.001176088],"study_design_scores_gemma":[0.0007665388,0.0001215007,0.003151608,0.0004111034,0.00004183642,0.00001744163,0.001557961,0.000001113933,0.993741,0.00001593663,0.00001073037,0.0001632067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987409,0.0002575456,0.000495808,0.00002843457,0.0001454264,0.0001923192,0.00005879582,0.00002316064,0.00005768305],"genre_scores_gemma":[0.9987289,0.0002873646,0.0006857681,0.0000238387,0.00002048748,0.00001016503,0.0001804998,0.00001972481,0.00004328743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002805034,"threshold_uncertainty_score":0.6485556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857434133347115,"score_gpt":0.2464100431761477,"score_spread":0.2278357018426765,"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."}}