{"id":"W2086517471","doi":"10.1016/j.jsb.2005.11.016","title":"Mechanisms of antimicrobial peptide action: Studies of indolicidin assembly at model membrane interfaces by in situ atomic force microscopy","year":2006,"lang":"en","type":"article","venue":"Journal of Structural Biology","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Atomic force microscopy; In situ; Antimicrobial; Nanotechnology; Peptide; Antimicrobial peptides; Membrane; Biophysics; Microscopy; Action (physics); Chemistry; Biology; Materials science; Biochemistry; Microbiology; Physics; Optics","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":[0.0002451731,0.0002705569,0.001043939,0.0002623866,0.00008965621,0.000006184338,0.000305455,0.0003370085,0.00004083282],"category_scores_gemma":[0.00003667071,0.0002057223,0.000216937,0.0001209165,0.0006082373,0.0002010748,0.0001612223,0.0003678553,0.000002973095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197771,"about_ca_system_score_gemma":0.00006888434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271638,"about_ca_topic_score_gemma":0.0002577977,"domain_scores_codex":[0.9981301,0.0001701271,0.001092832,0.0002118402,0.00003983629,0.0003552104],"domain_scores_gemma":[0.9982097,0.0001629183,0.001279602,0.0001329022,0.0001983366,0.00001650264],"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":[0.0009554927,0.00004473419,0.0009468769,0.00008208899,0.0002549812,0.000002667909,0.0002790234,0.0003417485,0.9927878,0.0005888764,0.003577905,0.000137742],"study_design_scores_gemma":[0.001685192,0.0003894186,0.0007380238,0.0001278235,0.00006214499,0.0003450974,0.0003367863,0.0000134182,0.993381,0.00266746,0.0000736271,0.0001800397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963977,0.002006772,0.000249313,0.0002498656,0.0007925484,0.0001235282,0.0001251695,0.000008040962,0.00004711355],"genre_scores_gemma":[0.9977459,0.0003985329,0.001036346,0.00006933306,0.00003861717,9.70001e-7,0.00004457831,0.00001571029,0.0006499518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003504278,"threshold_uncertainty_score":0.8389111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934319163866785,"score_gpt":0.2897670717447412,"score_spread":0.2704238801060734,"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."}}