{"id":"W2108563376","doi":"10.1093/bioinformatics/btq639","title":"TE Displayer for post-genomic analysis of transposable elements","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transposable element; In silico; Computer science; Computational biology; Biology; Data mining; Artificial intelligence; Genome; 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":[0.001811484,0.001516412,0.001077479,0.001586486,0.0005417435,0.001176852,0.001524368,0.001022397,0.06111825],"category_scores_gemma":[0.00418685,0.0007985382,0.001138488,0.001179773,0.0002489447,0.001415662,0.001178353,0.001477316,0.02011141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003852478,"about_ca_system_score_gemma":0.0006302146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007091438,"about_ca_topic_score_gemma":0.0009766198,"domain_scores_codex":[0.9994459,0.000090385,0.00005919233,0.0001682158,0.000170271,0.0000660873],"domain_scores_gemma":[0.9981911,0.0009734516,0.0001486208,0.000315228,0.0002599769,0.0001116446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005441727,0.0004360548,0.007150303,0.002221961,0.0005931197,0.001487934,0.0006497353,0.006703326,0.2919729,0.008347097,0.2896051,0.3853908],"study_design_scores_gemma":[0.0009391108,0.0005467954,0.01358306,0.0002363297,0.0002617149,0.002097028,0.0001554117,0.1505727,0.5616034,0.01161605,0.2580412,0.0003472136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01501741,0.0003107438,0.5610974,0.0002344253,0.0002168199,0.0002180427,0.03228183,0.3868718,0.003751504],"genre_scores_gemma":[0.09082691,0.0004686073,0.7569311,0.0003608091,0.0001276732,0.001356955,0.07951963,0.05219614,0.01821225],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06111825,"threshold_uncertainty_score":0.2044609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288665588595654,"score_gpt":0.2227007248534885,"score_spread":0.209814068967532,"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."}}