{"id":"W2141462396","doi":"10.1093/bioinformatics/btm629","title":"A hybrid model for robust detection of transcription factor binding sites","year":2008,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Ontario Genomics Institute; Genome Canada","keywords":"Transcription factor; Computer science; Factor (programming language); DNA binding site; Binding site; Computational biology; Biology; Genetics; Promoter; Gene; Programming language; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001729704,0.001159693,0.001455728,0.0008752192,0.0004187266,0.001401823,0.002441731,0.00221158,0.003621954],"category_scores_gemma":[0.005269806,0.0006083472,0.001327594,0.0006023946,0.001169401,0.0009997969,0.001240339,0.001734782,0.001058285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365447,"about_ca_system_score_gemma":0.001093294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008069862,"about_ca_topic_score_gemma":0.005305419,"domain_scores_codex":[0.9993227,0.0001909108,0.00002655122,0.0002430816,0.0001284174,0.00008842671],"domain_scores_gemma":[0.9974795,0.001817054,0.0002041406,0.0001006339,0.0002990936,0.00009965379],"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":[0.0001508575,0.00004318762,0.001332671,0.00005866966,0.00004140495,0.00007497232,0.00003865186,0.9762443,0.002441846,0.006719275,0.000844655,0.01200949],"study_design_scores_gemma":[0.000005666137,0.00001037166,0.00008180528,0.000002666268,0.000004233268,0.000009917172,0.000002272451,0.997914,0.0001661732,0.001669246,0.0001288886,0.000004881847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.052255,0.0004799796,0.9425908,0.0004978248,0.00006928983,0.00007586434,0.0005460155,0.0008993517,0.002585885],"genre_scores_gemma":[0.8161456,0.0004065603,0.1672999,0.0005057161,0.0001148129,0.0005578474,0.001641689,0.0003712831,0.01295662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008069862,"threshold_uncertainty_score":0.01604581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511979486837297,"score_gpt":0.2165823897692456,"score_spread":0.1914625949008726,"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."}}