{"id":"W4388705655","doi":"10.1101/2023.11.10.566630","title":"A Spatio-temporal Investigation of Dynamics of a Two-dimensional Multi-scale Fitz-Hugh Nagumo Neuronal Network","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Lethbridge","funders":"Canadian Institutes of Health Research","keywords":"Scale (ratio); Synchronization (alternating current); Context (archaeology); Nonlinear system; Computer science; Artificial neural network; Dynamical systems theory; Statistical physics; Physics; Biological system; Topology (electrical circuits); Artificial intelligence; Mathematics; Geology; Biology","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":[0.0002005355,0.0002740324,0.0003151495,0.0004607091,0.000357117,0.0005403712,0.0004508086,0.0008582302,0.0008238637],"category_scores_gemma":[0.001003578,0.0001919008,0.0003711897,0.0002967949,0.0008055012,0.000685958,0.0003869619,0.0004308823,0.00005474839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278023,"about_ca_system_score_gemma":0.000232593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123996,"about_ca_topic_score_gemma":0.001647211,"domain_scores_codex":[0.9999288,0.00002104415,0.000002786787,0.00001671354,0.00001755713,0.00001311428],"domain_scores_gemma":[0.9997724,0.00007960471,0.00006397724,0.00001517307,0.00002956866,0.0000392531],"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":[0.0001112222,0.00005119997,0.006422718,0.00008097254,0.00007831477,0.001248102,0.000236751,0.904408,0.03631283,0.04651692,0.0006409473,0.003891914],"study_design_scores_gemma":[0.000002496293,0.000009198341,0.0009107588,0.000001745558,0.000002350471,0.00003616567,0.00001507377,0.9969831,0.0002003274,0.00175482,0.0000797406,0.00000414088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202067,0.0005666361,0.07306508,0.0007214209,0.00004910858,0.00003490526,0.0001004447,0.00009957475,0.005156051],"genre_scores_gemma":[0.9955086,0.00008945449,0.003726395,0.00002660293,0.00001566977,0.00001046682,0.00001848087,0.000006219305,0.0005981293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004123996,"threshold_uncertainty_score":0.00819999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170980128529651,"score_gpt":0.229202252304589,"score_spread":0.2121042394516238,"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."}}