{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009798701,0.001387189,0.001840469,0.001056367,0.000212063,0.001162478,0.002351576,0.0008863815,0.001605447],"category_scores_gemma":[0.001132727,0.000621423,0.0008649881,0.0009062962,0.0003582612,0.0007782551,0.0005095893,0.0008672402,0.001639112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843014,"about_ca_system_score_gemma":0.0007512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000615205,"about_ca_topic_score_gemma":0.001285913,"domain_scores_codex":[0.9996452,0.00005193247,0.00002317961,0.0001284084,0.0001245436,0.00002662705],"domain_scores_gemma":[0.9995021,0.0002927603,0.00006620911,0.00004640683,0.00007515874,0.0000173499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006730148,0.0002174446,0.005965291,0.01388934,0.0005149225,0.0008596817,0.0001360536,0.0265781,0.3753352,0.005343282,0.006922815,0.5635649],"study_design_scores_gemma":[0.0002639176,0.0007006283,0.01444489,0.001960169,0.002472013,0.006287019,0.0002188131,0.07967224,0.5825241,0.01442872,0.2968498,0.0001776927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1091197,0.5879643,0.2829125,0.001393217,0.0007528353,0.0001907365,0.00450571,0.003685707,0.009475376],"genre_scores_gemma":[0.2189674,0.3902976,0.3657316,0.0009588755,0.000359489,0.0001943117,0.01823901,0.0004945586,0.004757172],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002351576,"threshold_uncertainty_score":0.005370796,"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."}}