{"id":"W2081466838","doi":"10.1371/journal.pone.0002456","title":"Critical Dynamics in Genetic Regulatory Networks: Examples from Four Kingdoms","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences","keywords":"Robustness (evolution); Adaptability; Gene regulatory network; Systems biology; Organism; Boolean network; Network dynamics; Computer science; Generality; Biology; Computational biology; Biological network; Evolutionary dynamics; Gene; Genetics; Mathematics; Gene expression; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001176368,0.0002164024,0.0003333426,0.00007500132,0.00009936874,0.00001746029,0.0002641511,0.00026155,0.00006269531],"category_scores_gemma":[0.0001381737,0.0002423351,0.0001204783,0.0001939394,0.0002138468,0.000004635648,0.0001462443,0.0001520283,0.00001738586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007747819,"about_ca_system_score_gemma":0.00006148086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009425133,"about_ca_topic_score_gemma":0.0006424411,"domain_scores_codex":[0.9982685,0.0001310656,0.0003437581,0.0005438099,0.0002922133,0.0004206599],"domain_scores_gemma":[0.9989606,0.000051442,0.00006538091,0.0006792209,0.00009835089,0.0001450105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548871,0.001734315,0.8160779,0.00005584341,0.00104145,0.0001917397,0.00006983455,0.01710162,0.160843,0.0003620282,0.001097608,0.001269735],"study_design_scores_gemma":[0.001553397,0.0003519263,0.7260908,0.0002193258,0.0005686383,0.00004411803,0.0001027297,0.2259511,0.04207398,0.00116037,0.000575139,0.001308493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922981,0.002987253,0.00419136,0.0001013726,0.0000509441,0.0001244258,0.00001344835,0.00002494218,0.0002081178],"genre_scores_gemma":[0.9910203,0.0006072568,0.00706449,0.0001708659,0.0006548002,0.00002804158,0.0001746505,0.00004990885,0.0002296765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2088495,"threshold_uncertainty_score":0.9882139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144954516924011,"score_gpt":0.2192329958183487,"score_spread":0.1877834506491086,"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."}}