{"id":"W4285733078","doi":"10.3390/antibiotics11070952","title":"Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; BC Centre for Disease Control; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"Investment Agriculture Foundation; University of British Columbia; Genome Canada","keywords":"Amphibian; Transcriptome; Insect; Antimicrobial; Biology; Computational biology; Evolutionary biology; Zoology; Ecology; Microbiology; Genetics; Gene; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.0001771058,0.0002044589,0.0003059636,0.0001054767,0.0008078696,0.00004827452,0.0001665992,0.00008337988,0.0001023238],"category_scores_gemma":[0.00001295709,0.0001811813,0.00008171998,0.000123504,0.0003384991,0.0001268521,0.00008203524,0.0002138143,0.000005494546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002368478,"about_ca_system_score_gemma":0.00006986093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006596,"about_ca_topic_score_gemma":0.00009238554,"domain_scores_codex":[0.9989462,0.00007797124,0.0002014395,0.0003347563,0.00003575944,0.0004038212],"domain_scores_gemma":[0.9995878,0.0001034142,0.0001061949,0.0001487325,0.00003275377,0.00002113647],"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":[0.0004206948,0.0001276968,0.01150334,0.00009549258,0.0002074814,0.00001799437,0.00174966,0.00007436873,0.9686595,0.0006902426,0.01517097,0.001282585],"study_design_scores_gemma":[0.005288164,0.002798133,0.00563411,0.0001657494,0.00032314,0.001281025,0.0139793,0.00005173977,0.8918214,0.0001251046,0.07729981,0.001232319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971827,0.0003785522,0.0004261913,0.000605865,0.0003932099,0.0003382606,0.0002581792,0.00007676724,0.0003402262],"genre_scores_gemma":[0.9945324,0.00007669842,0.001987722,0.0006543159,0.00003963395,0.000002074238,0.0001580248,0.00003223338,0.002516915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07683808,"threshold_uncertainty_score":0.7388358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190736853321485,"score_gpt":0.2240687545085566,"score_spread":0.2049950691764081,"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."}}