{"id":"W4391390112","doi":"10.1093/bioinformatics/btae034","title":"GeNLP: a web tool for NLP-based exploration and prediction of microbial gene function","year":2024,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Computer science; MIT License; Context (archaeology); Function (biology); License; Source code; Interface (matter); Semantics (computer science); World Wide Web; Artificial intelligence; Web application; Natural language processing; Programming language; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001679068,0.002117235,0.001026516,0.003510382,0.001037843,0.001842961,0.001888214,0.001328194,0.05060483],"category_scores_gemma":[0.00481487,0.0008968825,0.001275424,0.002844684,0.0005169282,0.001875983,0.002548825,0.001818778,0.028663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006439894,"about_ca_system_score_gemma":0.001371651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901685,"about_ca_topic_score_gemma":0.003084211,"domain_scores_codex":[0.9992101,0.0001607854,0.00007445182,0.0002211244,0.0002868377,0.00004661404],"domain_scores_gemma":[0.9981045,0.001296305,0.0001642147,0.0001482227,0.0001791228,0.0001077336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001152705,0.0002670982,0.006147362,0.005068421,0.000358128,0.001653835,0.0005541497,0.009317361,0.03138268,0.007864692,0.6832716,0.252962],"study_design_scores_gemma":[0.000837317,0.0002490526,0.008316753,0.0009234401,0.00020841,0.002916162,0.0006110048,0.1842611,0.0551868,0.05598965,0.6901953,0.0003049396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.009445271,0.001184315,0.352767,0.0007317822,0.0002179756,0.0003316417,0.1697289,0.4572497,0.008343463],"genre_scores_gemma":[0.05827119,0.001336932,0.5281633,0.0007991513,0.0001470144,0.001632474,0.3689016,0.03256449,0.008183976],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05060483,"threshold_uncertainty_score":0.1692901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115480356403785,"score_gpt":0.2332521643204552,"score_spread":0.2220973607564174,"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."}}