{"id":"W2001477533","doi":"10.1145/1389095.1389150","title":"Evolution of discrete gene regulatory models","year":2008,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Boolean network; Gene regulatory network; Attractor; Computer science; Crossover; Graph; Entropy (arrow of time); Random graph; Boolean function; Gene; Theoretical computer science; Topology (electrical circuits); Mathematics; Biology; Genetics; Algorithm; Artificial intelligence; Physics; Gene expression; Combinatorics","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":[0.00008332831,0.00009736576,0.0001313604,0.00004256452,0.00005395407,0.000001545349,0.0001208218,0.0001000175,0.00002386362],"category_scores_gemma":[0.000005994718,0.00008982993,0.0001421184,0.0001095594,0.0001070147,0.000002891304,0.00006770587,0.00002634718,0.000004501301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001703512,"about_ca_system_score_gemma":0.00006191725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002250521,"about_ca_topic_score_gemma":0.00001263211,"domain_scores_codex":[0.9992648,0.00003326583,0.0001860446,0.0002286512,0.0001403076,0.0001468698],"domain_scores_gemma":[0.9993414,0.000002047736,0.00006957971,0.0004484834,0.00008104076,0.00005750713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002731035,0.00002715181,0.003983757,0.000004420617,0.00008444018,0.000001310111,0.00001735112,0.03770427,0.954484,0.0008985839,0.002557184,0.0002102516],"study_design_scores_gemma":[0.0003527945,0.0001074258,0.02038935,0.000004577205,0.00005082852,0.00003894074,0.00003166066,0.01654997,0.960528,0.0008589365,0.0008501821,0.0002373101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369416,0.001571322,0.05866071,0.00001542552,0.00003374402,0.00005535629,0.000003443566,0.00001043526,0.002707987],"genre_scores_gemma":[0.9942307,0.0001389679,0.002916197,0.00002279208,0.0001242342,0.000004376289,0.00003537612,0.00001397364,0.002513406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0572891,"threshold_uncertainty_score":0.3663158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012513431349652,"score_gpt":0.2084462078822069,"score_spread":0.1983210735687104,"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."}}