{"id":"W2061378219","doi":"10.1109/iscas.2009.5118268","title":"Location of exons in DNA sequences using digital filters","year":2009,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Narrowband; Band-pass filter; Passband; Algorithm; Exon; Computer science; Signal processing; Filter (signal processing); Digital signal processing; Physics; Optics; Computer vision; Biology; Telecommunications; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00003248264,0.0000469409,0.00006253169,0.00003727586,0.00001063288,0.00001049661,0.00006025142,0.00003892554,0.000009652642],"category_scores_gemma":[0.00002966884,0.00003988558,0.00003042578,0.0001625971,0.00003471744,0.000008198577,0.00001017932,0.00001675403,0.00000186222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000642818,"about_ca_system_score_gemma":0.00003435635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008729766,"about_ca_topic_score_gemma":0.00004034376,"domain_scores_codex":[0.9996455,0.000006283179,0.0001122038,0.0001089119,0.00005015577,0.00007693204],"domain_scores_gemma":[0.9998102,0.000002271728,0.00003338259,0.00009527522,0.00004000644,0.00001886487],"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":[0.000009655721,0.00003287607,0.00579418,0.00000432067,0.000006930076,0.000001355661,0.00001732784,0.0009459988,0.9905996,0.00006654277,0.0000272375,0.002493918],"study_design_scores_gemma":[0.000212966,0.0002557406,0.01179216,0.00003690123,0.00001342191,0.000008384935,0.0003646406,0.002082611,0.9839529,0.0008385369,0.000256181,0.0001855586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961285,0.0001528853,0.001529138,0.0001050752,0.000009104164,0.00002588049,0.000001449025,0.000002555522,0.002045442],"genre_scores_gemma":[0.9992656,0.00001686932,0.0003813637,0.0001175231,0.00001831759,4.807723e-7,0.00002469277,0.000001675562,0.0001735501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006646761,"threshold_uncertainty_score":0.1626487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357863682173827,"score_gpt":0.2583725042699903,"score_spread":0.244793867448252,"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."}}