{"id":"W4392559248","doi":"10.3389/fphy.2024.1328616","title":"Noise-induced synchronization and regularity in feed-forward-loop motifs","year":2024,"lang":"en","type":"article","venue":"Frontiers in Physics","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loop (graph theory); Control theory (sociology); Synchronization (alternating current); Noise (video); Feed forward; Computer science; Mathematics; Topology (electrical circuits); Engineering; Artificial intelligence; Control engineering; Control (management); Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003560643,0.0002549687,0.0003063307,0.0003528632,0.0002584868,0.0004226623,0.0003746722,0.000381389,0.0008569444],"category_scores_gemma":[0.003105208,0.0002061571,0.0002983746,0.0001510781,0.0006541674,0.0006577007,0.0004633742,0.0003428361,0.00009257496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958266,"about_ca_system_score_gemma":0.000277087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005730333,"about_ca_topic_score_gemma":0.0005681842,"domain_scores_codex":[0.9998503,0.00004085344,0.000009253537,0.00003789729,0.00003555554,0.00002619428],"domain_scores_gemma":[0.9989976,0.0004918181,0.0002548452,0.00007599979,0.0000870044,0.00009267755],"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":[0.0003486687,0.0001166996,0.01467756,0.0002046015,0.0001219822,0.0006684649,0.0004472317,0.6826547,0.2157761,0.06733306,0.0004584798,0.01719246],"study_design_scores_gemma":[0.00001598164,0.00008082023,0.004407542,0.000009583476,0.00001812927,0.0001175122,0.00004276558,0.9669098,0.008416959,0.01968458,0.0002773337,0.00001905976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168876,0.0001118904,0.08046465,0.00009374481,0.00001599736,0.00001497854,0.00004719993,0.0001175349,0.002246493],"genre_scores_gemma":[0.9978168,0.00002930097,0.001903545,0.000006708354,0.000003379816,0.000006721533,0.00001709609,0.00001026678,0.0002061271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008569444,"threshold_uncertainty_score":0.002871871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923303927741266,"score_gpt":0.2239675458188088,"score_spread":0.2180442418910676,"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."}}