{"id":"W2104145304","doi":"10.1128/aac.00175-13","title":"Targeting Mycobacterium tuberculosis and Other Microbial Pathogens Using Improved Synthetic Antibacterial Peptides","year":2013,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Antimicrobial; Mycobacterium tuberculosis; Mycobacterium smegmatis; Antimicrobial peptides; Microbiology; Candida albicans; Staphylococcus aureus; Biology; Mycobacterium; Amino acid; Antibiotics; Peptide; Tuberculosis; Chemistry; Biochemistry; Bacteria; Medicine","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":[0.0003072263,0.0003838154,0.000281316,0.0002392015,0.00007684719,0.0004057012,0.0001906229,0.0003601474,0.0004079255],"category_scores_gemma":[0.0004655691,0.0001149038,0.0002316661,0.0001835159,0.00023747,0.0003810646,0.0002410185,0.0005471545,0.0001760666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351677,"about_ca_system_score_gemma":0.0001176049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007008718,"about_ca_topic_score_gemma":0.000114419,"domain_scores_codex":[0.9998332,0.00004146048,0.0000154432,0.00002935842,0.00005286678,0.00002753374],"domain_scores_gemma":[0.9998001,0.00004928399,0.00007154507,0.00001279807,0.00003190838,0.00003438242],"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":[0.00009224495,0.0000383749,0.0002789134,0.00007238932,0.000005328832,0.00005645337,0.00001093261,0.0007394524,0.9928468,0.0001101195,0.0000232636,0.005725899],"study_design_scores_gemma":[0.00005800501,0.002485005,0.004586861,0.00003757269,0.00004175411,0.0009828511,0.00003662414,0.007290405,0.978016,0.0003271336,0.006116392,0.00002136471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756337,0.005562577,0.0169734,0.0001624087,0.00005149658,0.00007345824,0.0001941688,0.00006596967,0.001282735],"genre_scores_gemma":[0.9666042,0.002496476,0.02937266,0.0001971158,0.00004544228,0.00007059791,0.0004246061,0.00001872758,0.0007702593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004079255,"threshold_uncertainty_score":0.001624823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036424688928788,"score_gpt":0.219351824027138,"score_spread":0.2089875771378501,"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."}}