{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006894805,0.0005786226,0.0007704631,0.001365042,0.0006190169,0.0009620453,0.0004547778,0.0005359644,0.001874683],"category_scores_gemma":[0.001781844,0.0003070878,0.001342199,0.00124598,0.0003233388,0.0006331502,0.0007089981,0.0008147784,0.001067817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138381,"about_ca_system_score_gemma":0.0005918965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009674896,"about_ca_topic_score_gemma":0.003214965,"domain_scores_codex":[0.9995643,0.0000724279,0.00003237922,0.0002050472,0.00008333284,0.00004242775],"domain_scores_gemma":[0.9993601,0.0003169261,0.0001207824,0.00006877592,0.00007695386,0.00005641717],"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":[0.001774427,0.0003542396,0.1234767,0.002987502,0.0009736253,0.001438698,0.0007841667,0.02221474,0.7012377,0.001508376,0.01223539,0.1310144],"study_design_scores_gemma":[0.0003439476,0.002182347,0.4062311,0.0004922148,0.001392654,0.004254633,0.002110168,0.2778105,0.1852219,0.009249008,0.1104003,0.0003112675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767511,0.005222932,0.04511719,0.0006257744,0.0001488891,0.000225207,0.06506845,0.003642124,0.003198334],"genre_scores_gemma":[0.69115,0.002131702,0.1508309,0.0006064355,0.0001007005,0.0003803988,0.1529009,0.0006651456,0.001233955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001874683,"threshold_uncertainty_score":0.006271422,"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."}}