{"id":"W2147364869","doi":"10.1109/tencon.2006.344207","title":"Wavelet Analysis of the Genome of the Model Plant Arabidopsis thaliana","year":2006,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Wavelet; Arabidopsis thaliana; Arabidopsis; Wavelet transform; Genome; Computational biology; Chromosome; Coding (social sciences); Gene; Biology; Computer science; Pattern recognition (psychology); Artificial intelligence; Genetics; Mathematics; Statistics","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":[0.00007220326,0.00008392065,0.0001733152,0.00004397652,0.00004187457,0.000004419304,0.0003224104,0.00006633346,0.00003985761],"category_scores_gemma":[0.00001354165,0.00004130812,0.0004498684,0.0004788824,0.0001140221,0.000001726229,0.0001040957,0.00003641015,8.707605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005895893,"about_ca_system_score_gemma":0.00003596664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009938251,"about_ca_topic_score_gemma":0.0009005982,"domain_scores_codex":[0.9993284,0.00002904697,0.0002191542,0.0001584817,0.0001536271,0.0001112806],"domain_scores_gemma":[0.999262,0.000005538676,0.0001360139,0.0005227188,0.0000580978,0.00001564848],"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":[0.00001073482,0.00005229306,0.01667186,0.000005896114,0.0005538277,1.849008e-7,0.00001643007,0.04263537,0.9390614,0.0004697393,0.0004595343,0.00006275674],"study_design_scores_gemma":[0.0001293599,0.00002624954,0.06637794,0.000004212253,0.001180463,0.00000141106,0.00008528594,0.03333953,0.8973265,0.0004742512,0.0009155822,0.0001392071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938742,0.0001557538,0.0008772754,0.0002452783,0.00001407451,0.00005110014,0.0001283363,0.000001908461,0.004652078],"genre_scores_gemma":[0.9964401,0.00002663445,0.0001553284,0.0001761432,0.00002064192,0.00000260901,0.00006716236,0.000004463195,0.003106991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04970609,"threshold_uncertainty_score":0.1684496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006645142308615043,"score_gpt":0.1972766974465914,"score_spread":0.1906315551379764,"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."}}