{"id":"W2965715355","doi":"10.3934/mbe.2019338","title":"Rapidly forming, slowly evolving, spatial patterns from quasi-cycle Mexican Hat coupling","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Amplitude; Physics; Coupling (piping); Statistical physics; Synchronization (alternating current); Phase synchronization; Pattern formation; Spatial ecology; Phase (matter); Mathematics; Topology (electrical circuits); Quantum mechanics; Combinatorics; Materials science","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":[0.0002683916,0.0002489329,0.000291695,0.000125636,0.0001414184,0.0002485473,0.0004976136,0.00008173435,0.0005759103],"category_scores_gemma":[0.000514847,0.0002022583,0.0001170724,0.000256783,0.00007086842,0.0004503367,0.0001537296,0.000217903,0.0002934325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844762,"about_ca_system_score_gemma":0.00002270022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009558555,"about_ca_topic_score_gemma":0.000008458976,"domain_scores_codex":[0.9978793,0.00001508704,0.0003606341,0.0006129568,0.0005909321,0.0005410537],"domain_scores_gemma":[0.9988492,0.0005118645,0.0001008688,0.0003424926,0.00002282623,0.0001727978],"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":[0.000007529808,0.0001239041,0.001844411,0.00008605533,0.000005339358,0.00001199686,0.0002643907,0.004075765,0.9774408,0.01434607,0.00001464408,0.001779099],"study_design_scores_gemma":[0.0001884253,0.0001315508,0.001189598,0.0001255063,0.000008737517,0.000008421403,0.00004767299,0.9172921,0.07829271,0.00219835,0.0002279806,0.0002889835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017814,0.00001631125,0.09606264,0.0001594585,0.0009805993,0.0002592577,0.00002111941,0.0002075859,0.0005115826],"genre_scores_gemma":[0.9979042,0.00001005467,0.001569367,0.0001705322,0.000125138,0.00001484008,0.000003401234,0.00002791079,0.00017456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9132163,"threshold_uncertainty_score":0.8247853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185341307153615,"score_gpt":0.2202913983976276,"score_spread":0.2084379853260914,"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."}}