{"id":"W2035167810","doi":"10.1093/nar/gkn655","title":"PhytAMP: a database dedicated to antimicrobial plant peptides","year":2008,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":336,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Antimicrobial peptides; Antimicrobial; Computational biology; Peptide; Function (biology); Biotechnology; Antibiotic resistance; Database; Biochemistry; Antibiotics; Genetics; Microbiology; Computer science","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":[0.0006285913,0.001466292,0.001668618,0.002912403,0.0004617632,0.001452906,0.001497509,0.001354771,0.01297167],"category_scores_gemma":[0.002690946,0.0006127295,0.0005389747,0.004147775,0.0003285047,0.002281235,0.001568461,0.001119301,0.014051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501243,"about_ca_system_score_gemma":0.001357531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000720737,"about_ca_topic_score_gemma":0.0008484211,"domain_scores_codex":[0.9995843,0.00006454722,0.0001268877,0.00009483151,0.00009382131,0.00003565466],"domain_scores_gemma":[0.9990709,0.0003372579,0.0001629282,0.0001242114,0.0001308889,0.0001737719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005721073,0.0004158416,0.005708078,0.02131716,0.0004303014,0.003242696,0.0008287169,0.005808826,0.2500144,0.009403616,0.2976653,0.3994439],"study_design_scores_gemma":[0.0006694272,0.0005397714,0.009627206,0.0007097134,0.0003425354,0.003730163,0.0002722774,0.007944779,0.04273884,0.007166584,0.9260709,0.0001877988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04570442,0.01594998,0.07310972,0.0006451559,0.0003022465,0.0007280875,0.7845916,0.05486997,0.02409896],"genre_scores_gemma":[0.03897648,0.005672113,0.07007243,0.0003384682,0.00007419584,0.0006178717,0.8785242,0.00229561,0.003428583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01297167,"threshold_uncertainty_score":0.04339457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422905658162116,"score_gpt":0.3138466339034274,"score_spread":0.2496175773218063,"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."}}