{"id":"W2163904845","doi":"10.1109/cec.2011.5949893","title":"Hierarchical self-organized learning in agent-based modeling of the MAPK signaling pathway","year":2011,"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":"Computer science; Multi-agent system; Distributed computing; Self-organization; Order (exchange); Artificial intelligence","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":[0.000292659,0.0001141994,0.0001515309,0.00004901755,0.00005398375,0.000005174353,0.0002226319,0.0001157134,0.00007536366],"category_scores_gemma":[0.00003792012,0.00008523864,0.0001498892,0.0002075574,0.00003256911,0.000001389677,0.0001037334,0.0001301662,0.000002754477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001217351,"about_ca_system_score_gemma":0.000103512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678374,"about_ca_topic_score_gemma":0.00004669749,"domain_scores_codex":[0.9990035,0.0001676195,0.0002586044,0.00024246,0.0001305293,0.0001973182],"domain_scores_gemma":[0.9995213,0.000008432374,0.00007329877,0.0002966359,0.00005545437,0.00004484005],"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":[0.00005203883,0.0001035644,0.02866668,0.00001643239,0.00008137228,0.000001883356,0.0002006958,0.1699814,0.8004205,0.00008288118,0.00001371002,0.0003788019],"study_design_scores_gemma":[0.0005078642,0.00005894179,0.0008376132,0.0000149264,0.00003325408,0.000001329602,0.0001105392,0.2009569,0.7970764,0.00008124215,0.0001723806,0.0001486231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870837,0.000135167,0.01166973,0.00002527754,0.00003061578,0.0000842052,5.09153e-7,0.00001629826,0.0009544356],"genre_scores_gemma":[0.9952741,0.000006916552,0.004385113,0.00007972785,0.00004024261,0.000004749127,0.000009140983,0.00001970994,0.000180298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03097549,"threshold_uncertainty_score":0.3475931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431644202365804,"score_gpt":0.2034944176444366,"score_spread":0.1891779756207785,"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."}}