{"id":"W2575160348","doi":"10.1109/bibm.2016.7822586","title":"Computational identification of regions that influence activity of transposable elements in the human genome","year":2016,"lang":"en","type":"article","venue":"","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transposable element; Alu element; Transposition (logic); Genome; Biology; Human genome; Genetics; Mobile genetic elements; Computational biology; Gene; Retrotransposon; Subfamily; Computer science","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":[0.0002994644,0.0004088747,0.0004979306,0.0005712574,0.0005663705,0.0005499822,0.0006517712,0.0008210412,0.001984543],"category_scores_gemma":[0.001144996,0.0003451053,0.0006296425,0.0004747556,0.0003676602,0.0002735083,0.0003900245,0.0003377968,0.0001471297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561917,"about_ca_system_score_gemma":0.001071791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408993,"about_ca_topic_score_gemma":0.01413731,"domain_scores_codex":[0.9998975,0.00002855632,0.000005262367,0.00003028496,0.00001616949,0.0000221913],"domain_scores_gemma":[0.9996445,0.0002533166,0.00002756922,0.00001964233,0.00002982755,0.00002513929],"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":[0.000111488,0.00005055677,0.00782678,0.00004452684,0.00005437638,0.0001586978,0.0000349202,0.9850031,0.001624834,0.001024902,0.0004135213,0.003652368],"study_design_scores_gemma":[0.0000172339,0.00001723011,0.001064808,0.000003098497,0.00001452791,0.00001846669,0.00002214076,0.997588,0.0004424522,0.0006169615,0.0001911324,0.000003954098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680425,0.0002061792,0.02534577,0.0002299856,0.00003434698,0.00005268699,0.0008560221,0.0003670067,0.004865516],"genre_scores_gemma":[0.9800503,0.0001009062,0.01787801,0.0000749774,0.00001168344,0.00007344458,0.0008150188,0.00006336761,0.0009324204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408993,"threshold_uncertainty_score":0.02801585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205078430419705,"score_gpt":0.2519798596709908,"score_spread":0.2199290753667937,"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."}}