{"id":"W1813034246","doi":"10.1186/1471-2105-6-23","title":"Recent Hits Acquired by BLAST (ReHAB): A tool to identify new hits in sequence similarity searches","year":2005,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Computer science; Similarity (geometry); Sequence (biology); Alignment-free sequence analysis; Information retrieval; Table (database); Interface (matter); Graphics; Data mining; Genome; Sequence alignment; Sequence database; Software; Multiple sequence alignment; Database; Artificial intelligence; Biology; Genetics; Programming language; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006569004,0.0003665886,0.0003096301,0.0001675338,0.0001078313,0.0001554387,0.0006760627,0.0003367862,0.0001138701],"category_scores_gemma":[0.0009523128,0.0003637505,0.0001054511,0.0004232402,0.00008713239,0.00006431182,0.0004917792,0.0002659128,0.0003963217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423687,"about_ca_system_score_gemma":0.0004087225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000328239,"about_ca_topic_score_gemma":0.0002999057,"domain_scores_codex":[0.9975022,0.00007061706,0.0009541582,0.0002880157,0.0004884247,0.0006965856],"domain_scores_gemma":[0.9985104,0.00004816851,0.0002477929,0.0007273889,0.0001362397,0.0003300105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005890997,0.0004646507,0.02031349,0.0009364182,0.0001372271,0.000005585586,0.006644817,0.02513773,0.07380971,0.0002426683,0.4450298,0.4266888],"study_design_scores_gemma":[0.002147498,0.0004452093,0.009274026,0.0001642133,0.00002786614,0.00005273138,0.0004967448,0.1598653,0.03497852,0.00005526327,0.7913448,0.001147865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8891033,0.0007666224,0.09644914,0.003275691,0.0004148252,0.001955843,0.0003186614,0.0001904349,0.007525515],"genre_scores_gemma":[0.1538818,0.001414721,0.827674,0.008914566,0.0007414058,0.0001031749,0.0015867,0.0001325642,0.005551069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7352215,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302620209898142,"score_gpt":0.3249614275038759,"score_spread":0.2919352254048945,"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."}}