{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03079308,0.002321215,0.002841896,0.003977917,0.002925192,0.008175551,0.006415561,0.005357103,0.007485277],"category_scores_gemma":[0.1461122,0.001647461,0.00162209,0.006954615,0.003809344,0.01114704,0.00516418,0.01014308,0.008417513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994222,"about_ca_system_score_gemma":0.003730779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004810682,"about_ca_topic_score_gemma":0.004436698,"domain_scores_codex":[0.9827602,0.007598542,0.001534919,0.002920541,0.004680422,0.0005053725],"domain_scores_gemma":[0.9410162,0.03742877,0.003576804,0.007335878,0.009288421,0.00135396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001115335,0.0001538532,0.00938281,0.002546347,0.0002565055,0.001509035,0.001369117,0.02554728,0.009826904,0.1504477,0.2237763,0.5740687],"study_design_scores_gemma":[0.000125545,0.0004365637,0.002920277,0.002252304,0.0002032775,0.00356658,0.0009181552,0.1734893,0.01057505,0.3610566,0.4441237,0.0003327761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01515191,0.01746117,0.8863643,0.04954674,0.008591396,0.0002858019,0.003410603,0.008417604,0.01077042],"genre_scores_gemma":[0.06641064,0.008535638,0.9005709,0.00874354,0.002835393,0.0003979625,0.003342226,0.004592085,0.004571581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03079308,"threshold_uncertainty_score":0.1628513,"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."}}