{"id":"W1994540622","doi":"10.1016/j.jtbi.2006.10.027","title":"Robustness and evolvability in genetic regulatory networks","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":281,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; Consejo Nacional de Ciencia y Tecnología; National Institutes of Health; National Science Foundation","keywords":"Evolvability; Robustness (evolution); Gene regulatory network; Organism; Biology; Gene; Attractor; Biological network; Computer science; Genetics; Computational biology; Mathematics; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.0007109751,0.0001442956,0.0003247032,0.00009064083,0.00003023856,0.00001052827,0.0001931307,0.0002850866,0.00004182728],"category_scores_gemma":[0.0001022146,0.0001150695,0.0001410237,0.0001247595,0.0007450212,0.000002702148,0.00009977433,0.0001732504,4.041655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367658,"about_ca_system_score_gemma":0.00004493158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004371059,"about_ca_topic_score_gemma":0.00001812301,"domain_scores_codex":[0.9985603,0.0003187552,0.0005335836,0.0002378923,0.00008097143,0.0002684927],"domain_scores_gemma":[0.999294,0.00005531032,0.000193229,0.0002548157,0.0001124192,0.00009015504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068794,0.0003745002,0.5686189,0.00003130002,0.0002330508,0.0000543626,0.0000124725,0.2591322,0.1077091,0.05190427,0.001388013,0.009473064],"study_design_scores_gemma":[0.003392531,0.001922275,0.8305731,0.00006743293,0.0003066143,0.0009261185,0.00006362049,0.05757805,0.01502255,0.08631745,0.002912211,0.0009180167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740732,0.004636323,0.02075785,0.0001886653,0.0001263543,0.00005712323,9.707203e-7,0.00000245748,0.0001570015],"genre_scores_gemma":[0.9970184,0.0001802479,0.002162965,0.0000654514,0.000532722,0.00000174914,0.00000668348,0.00001267395,0.00001913937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2619542,"threshold_uncertainty_score":0.4692398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002919843114057465,"score_gpt":0.2149901533059086,"score_spread":0.2120703101918511,"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."}}