{"id":"W1627262848","doi":"10.1007/s00114-003-0409-4","title":"In silico identification of metazoan transcriptional regulatory regions","year":2003,"lang":"en","type":"review","venue":"Die Naturwissenschaften","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computational biology; In silico; Transcriptional regulation; Identification (biology); Biology; Regulation of gene expression; Transcription factor; Genomics; Transcription (linguistics); Functional genomics; Systems biology; Gene; Genetics; Genome; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003526938,0.0003294843,0.0007986715,0.0002101787,0.00003565407,0.00001442073,0.0003210698,0.0006517089,0.000009596259],"category_scores_gemma":[0.00005847708,0.0003207399,0.0005204204,0.0001880578,0.0000857581,0.000004178883,0.00004718312,0.000283477,0.00001007911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294053,"about_ca_system_score_gemma":0.0002248239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006777663,"about_ca_topic_score_gemma":0.00003492866,"domain_scores_codex":[0.9980755,0.0001471618,0.0008542465,0.0005079503,0.0001811543,0.0002340144],"domain_scores_gemma":[0.9986959,0.00001759059,0.0004427184,0.0006761524,0.0001020135,0.00006568384],"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":[0.0001995895,0.002421765,0.00007461776,0.05509345,0.00447316,0.0001695925,0.0005944623,0.0003195031,0.2662868,0.06898348,0.01557739,0.5858061],"study_design_scores_gemma":[0.0002035114,0.00003557836,0.00006130151,0.0004957222,0.000243076,0.00004260824,0.0000195729,0.00001476884,0.0005460087,0.0003732703,0.9976091,0.0003554679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001921919,0.9968112,0.00005344582,0.0000248004,0.0003237284,0.0004070566,0.0001640587,0.000005848896,0.0002879303],"genre_scores_gemma":[0.002427131,0.9942202,0.0003048904,0.00004420797,0.0001090175,0.00005907443,0.0009455014,0.00006469792,0.001825309],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9820317,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659775991470316,"score_gpt":0.2892448301503455,"score_spread":0.2726470702356423,"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."}}