{"id":"W2053286229","doi":"10.1109/isspit.2006.270777","title":"A Stochastic Model for DNA Sequences Using Prescribed Nucleotide and Length Distributions","year":2006,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Coding region; DNA; Genome; DNA sequencing; Biology; Genetics; Mathematics; Computational 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662919,0.0009359631,0.001347391,0.001362953,0.0007791975,0.00188345,0.002580826,0.0026484,0.002872759],"category_scores_gemma":[0.005176426,0.0008121127,0.001336595,0.001261216,0.002321491,0.002503409,0.0008619304,0.0018739,0.00095194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090129,"about_ca_system_score_gemma":0.001517348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005058035,"about_ca_topic_score_gemma":0.003439222,"domain_scores_codex":[0.9988463,0.0003187626,0.00007437249,0.0002438136,0.0003536485,0.0001631017],"domain_scores_gemma":[0.9963657,0.002010782,0.0006561298,0.0002652083,0.0004522369,0.0002500356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004400882,0.00003475815,0.0006090145,0.00005986758,0.00002565938,0.0002259006,0.00009790742,0.694781,0.003638314,0.2962477,0.0006759601,0.003559929],"study_design_scores_gemma":[0.00001716393,0.0000222318,0.00008774165,0.000005428335,0.000006113039,0.0000576147,0.000005613,0.9718716,0.000246163,0.02691153,0.0007521088,0.0000167905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04616487,0.0003457164,0.9479265,0.000710661,0.00009479778,0.00008410905,0.0004440367,0.0003041698,0.00392527],"genre_scores_gemma":[0.810609,0.001597604,0.152553,0.0004225216,0.0003515347,0.001001842,0.0009875681,0.0002322213,0.03224473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005058035,"threshold_uncertainty_score":0.01516497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793530068658694,"score_gpt":0.2569088629358818,"score_spread":0.2389735622492948,"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."}}