{"id":"W2011232571","doi":"10.1145/2500863.2500867","title":"Signal detection in genome sequences using complexity based features","year":2013,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"ORFS; Genome; Gene; Computer science; Computational complexity theory; Open reading frame; Computational biology; Biology; Artificial intelligence; Genetics; Algorithm","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":[0.001601017,0.0006433523,0.0008417247,0.005466765,0.0004147275,0.001766201,0.0005085655,0.0009354936,0.001007933],"category_scores_gemma":[0.009132095,0.0002241279,0.0007866409,0.002143251,0.0006465954,0.002207858,0.0008244527,0.0006720508,0.0003274241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007308355,"about_ca_system_score_gemma":0.0003924101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007332168,"about_ca_topic_score_gemma":0.0006398357,"domain_scores_codex":[0.998903,0.0002247071,0.0001134257,0.0001915695,0.0004834151,0.00008373491],"domain_scores_gemma":[0.9896839,0.006895052,0.001794067,0.0003125533,0.001006707,0.0003076583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002136445,0.0004018591,0.07861832,0.001118158,0.0004542725,0.0004346973,0.0005174939,0.1152517,0.3303599,0.00820806,0.000952029,0.4615471],"study_design_scores_gemma":[0.0000672137,0.001145374,0.07507192,0.00008472883,0.000171016,0.0008342769,0.0002738181,0.8185227,0.08816566,0.01338186,0.002102486,0.0001788735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6540631,0.001107656,0.3416686,0.0002398849,0.00004466247,0.0001069767,0.0005747823,0.0007813956,0.001412925],"genre_scores_gemma":[0.8551925,0.0002823625,0.1432505,0.00004346512,0.00006960094,0.00007964095,0.0007439984,0.00006224748,0.0002756664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005466765,"threshold_uncertainty_score":0.008467078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937328932239475,"score_gpt":0.2480934326570896,"score_spread":0.2187201433346949,"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."}}