{"id":"W2171142540","doi":"10.1371/journal.ppat.1004152","title":"Broad-Spectrum Anti-biofilm Peptide That Targets a Cellular Stress Response","year":2014,"lang":"en","type":"article","venue":"PLoS Pathogens","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":516,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; Michael Smith Health Research BC","keywords":"Biofilm; Microbiology; Quorum sensing; Biology; Peptide; Pseudomonas aeruginosa; Bacteria; Multidrug tolerance; Acinetobacter baumannii; Escherichia coli; Chemistry; Biochemistry; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003444548,0.0003385372,0.0004780566,0.0001432834,0.0003752017,0.00004600638,0.0003240604,0.0003075049,0.001002115],"category_scores_gemma":[0.0001229424,0.0003067346,0.0002198907,0.0001094397,0.0002929224,0.0001388524,0.0001621506,0.0003714188,0.001494296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003816794,"about_ca_system_score_gemma":0.00004586645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000611521,"about_ca_topic_score_gemma":0.00002152976,"domain_scores_codex":[0.9979118,0.000506771,0.000273553,0.0005124433,0.00006577576,0.0007297103],"domain_scores_gemma":[0.9989478,0.0002603975,0.0001620737,0.0005333911,0.0000423458,0.00005399749],"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":[0.0003212158,0.0002399801,0.00586027,0.00003136046,0.0001409993,0.00003364676,0.0004383713,0.00001139629,0.9883551,0.0003706411,0.00392392,0.0002731063],"study_design_scores_gemma":[0.0007279823,0.0002316761,0.00932087,0.00007892941,0.00007981344,0.00003852119,0.0003616043,0.00002513651,0.9604951,0.0001329857,0.0280805,0.000426931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950442,0.0007744647,0.0005376718,0.0005890594,0.0005093316,0.0002400695,0.0003859418,0.0002152316,0.001704011],"genre_scores_gemma":[0.9915453,0.00008223684,0.0002480082,0.0003614378,0.0001202425,0.000015095,0.0001853346,0.00005400451,0.007388297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02786005,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339315889630836,"score_gpt":0.2033307850295606,"score_spread":0.1899376261332522,"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."}}