{"id":"W2062872358","doi":"10.1101/gr.2589004","title":"Decoding Human Regulatory Circuits","year":2004,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Biology; Gene; Computational biology; DNA binding site; Gibbs sampling; Decoding methods; Genetics; Regulatory sequence; Upstream (networking); Transcription factor; Algorithm; Gene expression; Computer science; Promoter; Artificial intelligence","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":[0.000455592,0.0006380493,0.0004959882,0.0007579409,0.0003074571,0.0009211304,0.0004920564,0.0006735114,0.006909473],"category_scores_gemma":[0.004308976,0.0003111271,0.0004115916,0.0005168688,0.000603548,0.0004276598,0.0005879833,0.0004935031,0.0009301765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009901244,"about_ca_system_score_gemma":0.0009275348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006308766,"about_ca_topic_score_gemma":0.007538436,"domain_scores_codex":[0.9994461,0.0001545655,0.00001662734,0.0002254768,0.00008830919,0.00006887472],"domain_scores_gemma":[0.9989997,0.0007007932,0.0000515942,0.00007680236,0.0001503659,0.00002080945],"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":[0.0006059354,0.00006236784,0.008397678,0.000271904,0.00008433075,0.0003911636,0.0004282515,0.3683685,0.02090214,0.138451,0.01171303,0.4503237],"study_design_scores_gemma":[0.0001057045,0.00004423884,0.002411324,0.00003753603,0.00003337317,0.0001495648,0.0001037155,0.8429829,0.01231391,0.1307068,0.01109375,0.0000172309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409841,0.0007235351,0.8336744,0.0007793055,0.00009602635,0.0001150076,0.003205257,0.003822059,0.01660037],"genre_scores_gemma":[0.7668987,0.0003396081,0.2191577,0.0003074463,0.00009059018,0.0001874519,0.004418005,0.000374417,0.00822602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006909473,"threshold_uncertainty_score":0.02311444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576788832245875,"score_gpt":0.3401340361277617,"score_spread":0.294366147805303,"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."}}