{"id":"W4377087712","doi":"10.1093/nar/gkad384","title":"ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Genomic Epidemiology; Agence Nationale de la Recherche; International Development Research Centre; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Biology; Metagenomics; Gene; Genetics; Computational biology; Antibiotic resistance; Antibiotics; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689254,0.0002010008,0.0002694576,0.0002214971,0.0002413743,0.00005042773,0.0006026876,0.0002271384,0.0001418471],"category_scores_gemma":[0.0005949875,0.0001978965,0.0001129172,0.0008141636,0.0005780882,0.00001328911,0.0004886785,0.0002660699,0.0001723666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000499098,"about_ca_system_score_gemma":0.0002648344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002500037,"about_ca_topic_score_gemma":0.00004405064,"domain_scores_codex":[0.9971851,0.0003121453,0.0004071921,0.000689326,0.0007245542,0.0006817079],"domain_scores_gemma":[0.9982119,0.0001099179,0.0001080865,0.001028019,0.0003929988,0.000149111],"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":[0.0004466166,0.00006938017,0.007880436,0.0001320963,0.0000875958,0.00001350264,0.00002489529,0.000009071839,0.8726121,0.0004175087,0.117832,0.0004748434],"study_design_scores_gemma":[0.001314945,0.0003427853,0.05514136,0.0001206149,0.00003168513,0.000009450018,0.0006634833,0.0001996435,0.7371382,0.0004123681,0.2041214,0.000504023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99359,0.001632564,0.0007227775,0.000381114,0.0001687453,0.0003316797,0.0003541125,0.00004024531,0.002778738],"genre_scores_gemma":[0.9809693,0.001916662,0.001467617,0.00004634508,0.0002313131,0.00000899177,0.0009172098,0.00006893342,0.01437365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354738,"threshold_uncertainty_score":0.8069986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483496986145599,"score_gpt":0.327671345102209,"score_spread":0.2793216464876491,"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."}}