{"id":"W1567288587","doi":"10.1186/gb-2003-4-7-327","title":"Understanding the language of gene regulation.","year":2003,"lang":"en","type":"article","venue":"Genome Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spring (device); Transcriptional regulation; Biology; Regulation of gene expression; Computational biology; Gene; Gene expression; Genetics; Engineering","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":[0.001898733,0.000501227,0.0005909596,0.001191483,0.001004118,0.005567863,0.00150809,0.001510967,0.006530414],"category_scores_gemma":[0.007457523,0.0004116648,0.0007262169,0.001084109,0.007281859,0.01003514,0.001732257,0.003084303,0.002534354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468887,"about_ca_system_score_gemma":0.001782106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735678,"about_ca_topic_score_gemma":0.002700404,"domain_scores_codex":[0.9989373,0.0004923308,0.00007332983,0.0002121581,0.0002024547,0.00008240559],"domain_scores_gemma":[0.9974579,0.001599621,0.000169986,0.0004001968,0.0002736275,0.00009859573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002394095,0.00000729071,0.0002942369,0.0001053485,0.00001317043,0.00008303673,0.0008577629,0.001300914,0.001629124,0.9731913,0.006067052,0.01642689],"study_design_scores_gemma":[0.000004947317,0.000006107047,0.0002098411,0.000062592,0.00001016795,0.00009233435,0.0002509803,0.003881256,0.0008838529,0.9416952,0.05289315,0.000009725457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01780019,0.02809683,0.7975996,0.0473836,0.001924564,0.00004822249,0.001731063,0.002079315,0.1033367],"genre_scores_gemma":[0.6811347,0.02364791,0.2543942,0.007503869,0.002322405,0.0003182029,0.002378018,0.001134439,0.02716623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006530414,"threshold_uncertainty_score":0.02184635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407272110942876,"score_gpt":0.2886796959427505,"score_spread":0.2446069748333217,"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."}}