{"id":"W1978851682","doi":"10.1021/ja808180m","title":"Molecular Resolution Imaging of an Antibiotic Peptide in a Lipid Matrix","year":2009,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Peptide; Molecule; Resolution (logic); Gramicidin; Lipid bilayer; Matrix (chemical analysis); Biophysics; Phospholipid; Fibril; Microscopy; Crystallography; Biochemistry; Membrane; Organic chemistry; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008408202,0.0002038308,0.0001258228,0.0001262702,0.0001875251,0.0002786068,0.0002226052,0.0003236478,0.0007113693],"category_scores_gemma":[0.0001541654,0.0001258592,0.00009783055,0.0000840611,0.0001759106,0.0002728546,0.0002257217,0.0003916019,0.0002841403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731722,"about_ca_system_score_gemma":0.0001685451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005763074,"about_ca_topic_score_gemma":0.0004799268,"domain_scores_codex":[0.9999557,0.000006649496,0.000001601334,0.000008339875,0.00001831331,0.000009407343],"domain_scores_gemma":[0.9999235,0.00002558555,0.00001555407,0.000005865816,0.00001431436,0.00001532181],"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":[0.00001137063,0.000002870628,0.00003353524,0.000007718728,8.291286e-7,0.0000545268,0.000008461888,0.00005807748,0.9994977,0.00005357588,0.000008890592,0.0002625627],"study_design_scores_gemma":[0.000019215,0.0001978025,0.001707799,0.000007139697,0.00000941556,0.0005760345,0.00005962719,0.00702298,0.9887362,0.0001056831,0.001549807,0.000008326575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906175,0.0005575622,0.00734599,0.0001313921,0.00001768419,0.0000119967,0.00005355223,0.00007006645,0.001194285],"genre_scores_gemma":[0.982878,0.0005645094,0.0151226,0.00004548451,0.000009617704,0.00001642323,0.00007074287,0.00001686256,0.001275869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007113693,"threshold_uncertainty_score":0.002379835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005118257964091447,"score_gpt":0.2425100968434888,"score_spread":0.2373918388793973,"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."}}