{"id":"W4391212377","doi":"10.48550/arxiv.2401.12477","title":"Modular control of Boolean network models","year":2024,"lang":"en","type":"preprint","venue":"PubMed","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Research Projects Agency; Banff International Research Station for Mathematical Innovation and Discovery; American Association of Immunologists","keywords":"Modular design; Computer science; ENCODE; Biological network; Control (management); Boolean network; Gene regulatory network; Systems biology; Computational biology; Artificial intelligence; Boolean function; Biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481402,0.0006756162,0.0006640466,0.0007541382,0.0003294227,0.0009939185,0.0008698857,0.0006130914,0.002432388],"category_scores_gemma":[0.004620805,0.0002957783,0.0007963155,0.0004113892,0.001469127,0.001199613,0.001406681,0.0009544597,0.0001785866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409307,"about_ca_system_score_gemma":0.0006868394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705842,"about_ca_topic_score_gemma":0.001733108,"domain_scores_codex":[0.999222,0.000306855,0.00002849586,0.0001721174,0.0001532021,0.0001173642],"domain_scores_gemma":[0.9980817,0.001184452,0.0002916509,0.0001380078,0.0001590537,0.0001451497],"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":[0.0001258822,0.00004424325,0.0005371837,0.00008009057,0.0000404749,0.00009435903,0.00008089188,0.616287,0.01131006,0.355794,0.0006560186,0.01494979],"study_design_scores_gemma":[0.00001449601,0.00002428898,0.00006896869,0.000003586378,0.000006837439,0.000008569169,0.00000574622,0.9279203,0.0009976514,0.07066375,0.0002808283,0.000004938674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08132674,0.0001897414,0.9119665,0.0002184133,0.00002010103,0.0000447015,0.0001034981,0.000313173,0.005817154],"genre_scores_gemma":[0.9533135,0.000183602,0.04366364,0.00006695969,0.00002899259,0.0001267138,0.0001236046,0.00007765328,0.002415431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002432388,"threshold_uncertainty_score":0.0102253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234163456436745,"score_gpt":0.2021447984206231,"score_spread":0.1898031638562557,"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."}}