{"id":"W2290618319","doi":"10.1137/140991820","title":"On Controllability of Delayed Boolean Control Networks","year":2016,"lang":"en","type":"article","venue":"SIAM Journal on Control and Optimization","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"City University of Hong Kong","keywords":"Controllability; Trajectory; State (computer science); Mathematics; Control theory (sociology); Sequence (biology); Control (management); Computer science; Applied mathematics; Algorithm; Physics","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":[0.0005185297,0.0001759842,0.0003177858,0.00007115266,0.0001117153,0.00002339652,0.0001073099,0.0001562958,0.0000423265],"category_scores_gemma":[0.0001779733,0.0001136853,0.0001709988,0.00007262702,0.00008683377,0.000007416069,0.00001220125,0.00009144565,0.0000014495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002335975,"about_ca_system_score_gemma":0.00004257586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.533363e-7,"about_ca_topic_score_gemma":0.000004974415,"domain_scores_codex":[0.9987504,0.0001904517,0.0004011306,0.00025472,0.0001792781,0.0002239646],"domain_scores_gemma":[0.9989227,0.000108442,0.0003267326,0.0002410292,0.0002549209,0.0001461919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002687562,0.00007697709,0.002106024,0.000002669986,0.0003450043,0.000002256145,0.000003594668,0.9733971,0.01512763,0.0002829106,0.000457876,0.00551042],"study_design_scores_gemma":[0.04373502,0.006976761,0.008957909,0.0001791245,0.0007595088,0.00008796718,0.00002728901,0.9304906,0.004743714,0.00112137,0.002071066,0.0008496426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188939,0.001036788,0.8087044,0.0007595491,0.0001618949,0.0002207932,0.00001991669,0.000008163019,0.00014948],"genre_scores_gemma":[0.9980162,0.0005546784,0.0003356459,0.0005971702,0.0003510009,0.000005961275,0.000008268242,0.00001880818,0.0001122197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8090772,"threshold_uncertainty_score":0.4635954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002908776043114394,"score_gpt":0.1983080376842355,"score_spread":0.1953992616411211,"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."}}