{"id":"W2034119200","doi":"10.1103/physrevlett.96.198102","title":"Sequential Recruitment and Combinatorial Assembling of Multiprotein Complexes in Transcriptional Activation","year":2006,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"DNA; Kinetics; Kinetic energy; Dissociation (chemistry); Transcription (linguistics); Biophysics; Computational biology; Biology; Physics; Chemistry; Genetics","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":[0.000417202,0.0002335147,0.0003661741,0.0004082106,0.0002772413,0.0006413409,0.0003840352,0.0003832447,0.0007657281],"category_scores_gemma":[0.001079874,0.0005579591,0.0003675342,0.0002791109,0.0006067201,0.0008912303,0.0004369357,0.0003993022,0.0003229358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004844924,"about_ca_system_score_gemma":0.0001792517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571471,"about_ca_topic_score_gemma":0.0006123824,"domain_scores_codex":[0.9997788,0.0000514141,0.00001431742,0.00008521812,0.00004816413,0.00002213857],"domain_scores_gemma":[0.9996188,0.000192922,0.00006964919,0.00005004496,0.00002180722,0.00004678349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004352172,0.0001553086,0.00589439,0.0002318732,0.00006272353,0.0005404949,0.000247382,0.289169,0.5656983,0.09823127,0.0006053209,0.03872874],"study_design_scores_gemma":[0.00005155672,0.00007593715,0.004675453,0.00001185852,0.00003774292,0.0003351833,0.00006656702,0.800131,0.1223597,0.06945361,0.002751261,0.00005007702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658257,0.001065329,0.2294745,0.0002763825,0.00003017057,0.00003588983,0.00008006441,0.0004951631,0.002716705],"genre_scores_gemma":[0.9756468,0.0004080509,0.02288316,0.00004416985,0.00001129608,0.00003272298,0.00006793362,0.00004230543,0.0008637175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007657281,"threshold_uncertainty_score":0.003515303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664810854133294,"score_gpt":0.2925663060439598,"score_spread":0.2659181975026269,"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."}}