{"id":"W4405231346","doi":"10.1093/bioinformatics/btae729","title":"A BLAST from the past: revisiting blastp’s <i>E</i>-value","year":2024,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Value (mathematics); Computer science; History; Psychology; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001641319,0.0001418589,0.0001015785,0.00001485245,0.000125397,0.0001229242,0.000210181,0.00006883269,0.00001095235],"category_scores_gemma":[0.00004398058,0.0000946342,0.00009918322,0.00008057078,0.00006502034,0.000001482559,0.0001966776,0.00008413793,0.0001009575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008227548,"about_ca_system_score_gemma":0.00004719234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636886,"about_ca_topic_score_gemma":0.000007333944,"domain_scores_codex":[0.9992789,0.00001913184,0.0002515301,0.0001433687,0.0001091291,0.0001979178],"domain_scores_gemma":[0.9995202,0.00005175501,0.0000472577,0.000305795,0.00003274371,0.00004218451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001252806,0.00007832708,0.01669093,0.0007745721,0.002117998,0.00002595095,0.0101158,0.00149823,0.3697211,0.008361496,0.300759,0.2897313],"study_design_scores_gemma":[0.0002144276,0.0001076534,0.004053182,0.0001107957,0.00007651965,0.000020787,0.0009122858,0.008517909,0.00680122,0.0003090539,0.9785711,0.0003050473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956918,0.01664047,0.00695034,0.002250939,0.001071798,0.0003732479,0.0003108922,0.00003732699,0.01544696],"genre_scores_gemma":[0.988731,0.001138088,0.006448511,0.00129619,0.001871159,0.00001682714,0.00009490811,0.00002729612,0.000376052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6778121,"threshold_uncertainty_score":0.3859071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009638727986995934,"score_gpt":0.2252668110548187,"score_spread":0.2156280830678228,"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."}}