{"id":"W1996392240","doi":"10.1186/1471-2105-12-s11-a13","title":"Spectral classification of short numerical exon and intron sequences","year":2011,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Queen's University; University of Ottawa","funders":"","keywords":"Intron; Exon; Computational biology; Genome; Annotation; Representation (politics); Human genome; Genome project; Genetics; Computer science; Biology; Gene","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":[0.00009534378,0.00007808015,0.0001036942,0.00003448566,0.00002602855,0.000008413621,0.00009133107,0.0000772,0.00001792765],"category_scores_gemma":[0.00003360268,0.00006274654,0.0000491864,0.00007337572,0.000117691,0.00001297591,0.00003571533,0.00003783679,0.00000645377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005105648,"about_ca_system_score_gemma":0.00003232066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002847687,"about_ca_topic_score_gemma":0.00001825885,"domain_scores_codex":[0.9994727,0.00001247201,0.0002358783,0.0000870201,0.00008361653,0.0001082847],"domain_scores_gemma":[0.9996701,0.000005036624,0.00007878679,0.0001615784,0.00003784873,0.00004662759],"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":[0.0003421558,0.0003300555,0.3401803,0.0005048871,0.0002647549,0.00000280002,0.002602371,0.0001217957,0.5938774,0.007047752,0.001026272,0.05369943],"study_design_scores_gemma":[0.00063211,0.001670033,0.2705264,0.00005360371,0.0002253127,0.00007840391,0.0053316,0.1343561,0.5816097,0.001443253,0.003233489,0.0008398978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430389,0.0001469552,0.04905123,0.00002045362,0.00003905514,0.00008378168,0.000008398107,0.000009328118,0.007601927],"genre_scores_gemma":[0.9580964,0.0001111867,0.04161822,0.00003571268,0.00003663705,0.000003610896,0.00004651995,0.000003812207,0.00004783804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342344,"threshold_uncertainty_score":0.255873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505932177159128,"score_gpt":0.252325421605623,"score_spread":0.2172660998340317,"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."}}