{"id":"W2036036019","doi":"10.1103/physreve.82.022105","title":"Phase transition in a class of nonlinear random networks","year":2010,"lang":"en","type":"article","venue":"Physical Review E","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transition (genetics); Nonlinear system; Class (philosophy); Phase transition; Statistical physics; Mathematics; Computer science; Physics; Condensed matter physics; Artificial intelligence; Chemistry; Quantum mechanics","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":[0.0001959292,0.00009845417,0.0003153211,0.00001636449,0.00001176567,0.000002586477,0.000102909,0.00004948171,0.00001622276],"category_scores_gemma":[0.00004003119,0.00008455489,0.0002299553,0.0001763978,0.00005087993,0.00000192391,0.00001945908,0.0001234242,0.000003818093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002549137,"about_ca_system_score_gemma":0.00002123554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000373737,"about_ca_topic_score_gemma":0.00003142156,"domain_scores_codex":[0.9993114,0.00006821129,0.000214276,0.000189133,0.00008654846,0.0001303905],"domain_scores_gemma":[0.9995367,0.00001389759,0.00007266722,0.0002803638,0.00004461212,0.00005177227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001523825,0.001076261,0.0001037151,0.0003353778,0.0000808258,0.000002393883,0.00002008412,0.001545168,0.9513595,0.0001268534,0.0007014151,0.0444961],"study_design_scores_gemma":[0.02162674,0.001661964,0.001065163,0.001837793,0.001351922,0.0000248691,0.00001964688,0.4427298,0.3484367,0.0009421066,0.1788554,0.001447894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892252,0.008387396,0.001792424,0.0001705606,0.00003951128,0.000201422,0.000004688619,0.000003705803,0.0001751058],"genre_scores_gemma":[0.9940017,0.005063597,0.000190412,0.0002509645,0.0003593471,0.0000199663,0.00009360477,0.00001060181,0.000009789162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6029227,"threshold_uncertainty_score":0.3448048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007358627351038427,"score_gpt":0.2909999692797177,"score_spread":0.2836413419286793,"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."}}