{"id":"W2913186280","doi":"10.1109/bibm.2018.8621478","title":"Prediction of transposable elements evolution using tabu search","year":2018,"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; Thompson Rivers University","funders":"","keywords":"Tabu search; Transposable element; Genome; Computer science; Algorithm; Heuristic; Artificial intelligence; Biology; Genetics; 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":[0.0007685199,0.0007095829,0.0006147408,0.001320682,0.0004695473,0.0006987572,0.0007513447,0.0009208284,0.00243144],"category_scores_gemma":[0.0040809,0.0003826788,0.0007365366,0.001259453,0.0002726733,0.0005525922,0.0002451387,0.0005352448,0.0005467664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000765811,"about_ca_system_score_gemma":0.001370234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477551,"about_ca_topic_score_gemma":0.01114014,"domain_scores_codex":[0.9997212,0.00008994723,0.00001723423,0.00006385632,0.00006029684,0.00004731544],"domain_scores_gemma":[0.9975789,0.001640898,0.0002073469,0.0001262352,0.0003683838,0.00007810695],"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":[0.00007528301,0.00004638459,0.007070671,0.00004395518,0.00003205768,0.00005398006,0.00002463777,0.9802029,0.001150307,0.0006625265,0.0005733566,0.01006381],"study_design_scores_gemma":[0.000003082063,0.0000107072,0.0003488943,0.000002251589,0.000002878577,0.000005690953,0.000005980003,0.9989722,0.0003986125,0.0001678808,0.00007960771,0.000002280519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719316,0.0006685166,0.2150157,0.000253073,0.00008501724,0.0001344416,0.002176092,0.004424955,0.005310561],"genre_scores_gemma":[0.8606936,0.0002082327,0.1351123,0.0000548814,0.0000128339,0.0001283092,0.002597585,0.0001624805,0.001029821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01477551,"threshold_uncertainty_score":0.02937901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05693311001831824,"score_gpt":0.2466790360076684,"score_spread":0.1897459259893501,"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."}}