{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721805,0.001105762,0.0005521444,0.0006024879,0.0002327201,0.0004755086,0.0004605003,0.0008207369,0.000444445],"category_scores_gemma":[0.0005734903,0.000281157,0.0004540957,0.0003797738,0.0002683515,0.0004254257,0.0004816943,0.0007597006,0.0003282077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142088,"about_ca_system_score_gemma":0.0002314338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582398,"about_ca_topic_score_gemma":0.0002670054,"domain_scores_codex":[0.9990356,0.0001807388,0.00008425327,0.0001908804,0.0003966216,0.0001120163],"domain_scores_gemma":[0.9995746,0.00009277857,0.0001165391,0.0000481267,0.00009492389,0.00007296907],"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":[0.000007198116,0.00001498437,0.00003743364,0.00002160276,0.000002206865,0.00001333698,0.000005391464,0.00001927648,0.9990886,0.00001155486,0.000007076505,0.0007712377],"study_design_scores_gemma":[0.000004624483,0.0002644038,0.0008006933,0.000004748103,0.000008701987,0.000126838,0.00000791209,0.0004037006,0.9977742,0.000009780046,0.0005891082,0.000005244445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478596,0.005975062,0.04301547,0.0001679026,0.00006778479,0.0003748356,0.0003141747,0.0001845198,0.002040545],"genre_scores_gemma":[0.8950476,0.004194491,0.0972153,0.0002487426,0.00003966465,0.0003414088,0.000887082,0.00007611949,0.001949626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001105762,"threshold_uncertainty_score":0.003026009,"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."}}