{"id":"W1561997562","doi":"10.1109/icnc.2007.462","title":"Log-correlation Distance And Fourier Transform With Kullback-Leibler Divergence Distance For Construction Of Vertebrate Phylogeny Using Complete Mitochondrial Genomes","year":2007,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Fok Ying Tung Education Foundation","keywords":"Divergence (linguistics); Fourier transform; Vertebrate; Kullback–Leibler divergence; Genome; Evolutionary biology; Fast Fourier transform; Mathematics; Biology; Algorithm; Statistics; Genetics; Mathematical analysis; 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":[0.00008021235,0.0001277464,0.0001601189,0.00003586552,0.0001044736,0.00001250018,0.00006543622,0.0000811253,0.00001636095],"category_scores_gemma":[0.00001061577,0.0001025776,0.00005796139,0.0001018761,0.0002323554,0.00001675295,0.00001387633,0.00003607578,4.756237e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001419409,"about_ca_system_score_gemma":0.00002954575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005497681,"about_ca_topic_score_gemma":0.0006411182,"domain_scores_codex":[0.9992015,0.000009745267,0.0002225183,0.0002718164,0.0001067291,0.0001876339],"domain_scores_gemma":[0.9995514,0.00001474028,0.0001138602,0.0001431859,0.0001217718,0.00005507668],"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":[0.000904697,0.00002942888,0.031319,0.0000508999,0.0001041353,0.000001447048,0.00006824214,0.0005410609,0.9543324,0.001049167,0.00002281112,0.0115767],"study_design_scores_gemma":[0.003351626,0.001211372,0.007943425,0.00007250307,0.0003854506,0.00005618103,0.0007309841,0.04125559,0.9249988,0.00273096,0.01633879,0.0009243343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4201733,0.0002995251,0.5790578,0.0000194344,0.00006442897,0.0001495122,0.00004223544,0.000003567385,0.0001902706],"genre_scores_gemma":[0.9518157,0.0001156445,0.04763436,0.00003839052,0.00008956306,0.000005592936,0.000089421,0.00001026162,0.0002010685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5316424,"threshold_uncertainty_score":0.4182992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119317397093848,"score_gpt":0.2346907241100386,"score_spread":0.2227589844006538,"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."}}