{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210016,0.0002995846,0.0001777339,0.0001244002,0.0001015079,0.0002233041,0.0002318148,0.0002719844,0.003646569],"category_scores_gemma":[0.0002599231,0.0001136858,0.0001616261,0.0001619734,0.0001248476,0.0002417543,0.0001757957,0.0003940742,0.0006597052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433068,"about_ca_system_score_gemma":0.0001489065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009151385,"about_ca_topic_score_gemma":0.0007960901,"domain_scores_codex":[0.9998333,0.00004699935,0.00001282455,0.0000225603,0.00005015572,0.00003401735],"domain_scores_gemma":[0.9999149,0.00001211395,0.00001791499,0.00001010345,0.00001581941,0.00002918733],"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":[0.0007656093,0.0001113753,0.0002050706,0.00006774311,0.00001303016,0.00007411529,0.00001695587,0.0003002422,0.9931694,0.0001625994,0.0003280772,0.004785798],"study_design_scores_gemma":[0.0001502135,0.002464741,0.003048618,0.00001398496,0.00002712569,0.0005344557,0.00005751112,0.001165481,0.9830934,0.00008219756,0.009345844,0.00001648888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858326,0.005112175,0.001381449,0.0001657809,0.00008961779,0.00006490105,0.0003708614,0.00004533054,0.006937249],"genre_scores_gemma":[0.9913936,0.001657491,0.001073367,0.0001254327,0.0000132949,0.00002444661,0.0006867234,0.00001488457,0.005010763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003646569,"threshold_uncertainty_score":0.01219904,"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."}}