{"id":"W2003219033","doi":"10.1021/jm000416n","title":"Analogues of Bacteriocins:  Antimicrobial Specificity and Interactions of Leucocin A with Its Enantiomer, Carnobacteriocin B2, and Truncated Derivatives","year":2000,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bacteriocin; Citation; Library science; Antimicrobial; Enantiomer; Computer science; Information retrieval; Chemistry; World Wide Web; Artificial intelligence; Stereochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593939,0.000168325,0.0006542486,0.00009328257,0.00003990652,0.000009903432,0.00007755307,0.00008504237,0.0005144764],"category_scores_gemma":[0.0001585761,0.0001059108,0.00007400219,0.000212278,0.0003569419,0.0001367118,0.00001878207,0.0003417773,3.20517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136047,"about_ca_system_score_gemma":0.0001274888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003292897,"about_ca_topic_score_gemma":0.000003668426,"domain_scores_codex":[0.9988249,0.00003170192,0.0005991886,0.0001703401,0.0002274293,0.000146443],"domain_scores_gemma":[0.9987916,0.00007192098,0.0005205674,0.0001136185,0.0003604956,0.0001417552],"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":[0.001655865,0.0001499484,0.003009808,0.0006737908,0.0002043375,0.00004905954,0.0004718896,3.29858e-7,0.9873841,6.42612e-7,0.0003081592,0.006092016],"study_design_scores_gemma":[0.00156218,0.000485965,0.04584545,0.001871885,0.0002588529,0.002621869,0.0005000965,0.000005028671,0.9451549,0.000002470138,0.00158862,0.0001026682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971008,0.001076062,0.000004562527,0.001319133,0.00003716888,0.00008651226,0.00002714936,0.000004462796,0.000344199],"genre_scores_gemma":[0.9966056,0.0021984,0.0005278753,0.00005865455,0.0002445498,1.142828e-7,0.000008094511,0.00001075083,0.0003460072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04283564,"threshold_uncertainty_score":0.5633156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088046052041389,"score_gpt":0.236770966722601,"score_spread":0.2258905062021871,"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."}}