{"id":"W2122627499","doi":"10.1002/anie.201302265","title":"Tuning the Intracellular Bacterial Targeting of Peptidic Vectors","year":2013,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Intracellular; Peptide; Computational biology; Drug delivery; Vector (molecular biology); Toolbox; Computer science; Chemistry; Biology; Biochemistry; Gene; Recombinant DNA","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":[0.0003885479,0.0004752192,0.000208679,0.0002529619,0.0001068301,0.0005753263,0.000236591,0.0003583784,0.0005569118],"category_scores_gemma":[0.0004367349,0.0001861512,0.0001590198,0.0002251974,0.0002738279,0.0002941242,0.0002852062,0.0005296408,0.0004120486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200165,"about_ca_system_score_gemma":0.0001892352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002297475,"about_ca_topic_score_gemma":0.0003231027,"domain_scores_codex":[0.9996401,0.0000811947,0.00004597367,0.00006821582,0.00008784801,0.00007667129],"domain_scores_gemma":[0.9997961,0.00006078474,0.00005999551,0.0000218565,0.00003577101,0.00002563612],"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":[0.00002848178,0.00001617768,0.00007516433,0.00004347859,0.000003135571,0.00002639075,0.00001437187,0.0001796747,0.9971532,0.000154652,0.00002967041,0.002275589],"study_design_scores_gemma":[0.000007585817,0.00008373852,0.0001871042,0.000005008189,0.000006209523,0.00007764869,0.000005999794,0.0007522602,0.9975618,0.00002278674,0.001286721,0.000003092594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532209,0.001866119,0.04112673,0.0001397445,0.0000527813,0.0001990555,0.0002448693,0.0002717963,0.002877979],"genre_scores_gemma":[0.9691443,0.001330039,0.02706594,0.00007674147,0.00001029172,0.0001126895,0.0002395669,0.00007828933,0.001942102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005753263,"threshold_uncertainty_score":0.003047466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009056882929863275,"score_gpt":0.2112865744842385,"score_spread":0.2022296915543752,"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."}}