{"id":"W907014796","doi":"10.1371/journal.pone.0132512","title":"Treatment of Oral Multispecies Biofilms by an Anti-Biofilm Peptide","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; National Natural Science Foundation of China","keywords":"Biofilm; Saliva; Peptide; Microbiology; Dental plaque; Antimicrobial; Population; Lysis; Chlorhexidine; Chemistry; Biology; Bacteria; Biochemistry; Medicine; Dentistry","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":[0.0001869513,0.0004087649,0.0003906784,0.0001342024,0.0001180809,0.0002270899,0.0002247601,0.0004674098,0.0008346722],"category_scores_gemma":[0.0001369598,0.0001728242,0.0002820077,0.00008453966,0.0001333713,0.0001657337,0.0002478153,0.0006579154,0.0002211044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009043557,"about_ca_system_score_gemma":0.0001501571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181846,"about_ca_topic_score_gemma":0.0001885485,"domain_scores_codex":[0.9998851,0.00002038959,0.00000919234,0.00002395864,0.00003732622,0.00002404112],"domain_scores_gemma":[0.9999222,0.00002551738,0.00001634774,0.000006074509,0.00001375612,0.00001626485],"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":[0.00006828811,0.00005585954,0.00003516016,0.00007418842,0.000003275204,0.00003838127,0.000007712958,0.00005643387,0.9974332,0.000009577937,0.00001934042,0.002198616],"study_design_scores_gemma":[0.00004707509,0.003012222,0.002720691,0.00001880505,0.00002217541,0.0005557555,0.00002605188,0.0006883505,0.9908284,0.00002065862,0.002051359,0.000008363059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993847,0.003673443,0.001536556,0.00007063241,0.00005053197,0.0000693625,0.00007770098,0.00002306348,0.0006517399],"genre_scores_gemma":[0.9853918,0.00396403,0.008188699,0.0001230055,0.00003427529,0.0001175107,0.0002615814,0.00001057288,0.001908542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008346722,"threshold_uncertainty_score":0.002792239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063747800652148,"score_gpt":0.2469426589949031,"score_spread":0.1831948583427551,"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."}}