{"id":"W2096184855","doi":"10.1103/physrevlett.88.058101","title":"Spiral Wave Generation in Heterogeneous Excitable Media","year":2002,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spiral wave; Excitable medium; Breakup; Spiral (railway); Coupling (piping); Physics; Plane wave; Cellular automaton; Plane (geometry); Mechanics; Optics; Acoustics; Materials science; Computer science; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007958561,0.0002028807,0.000251102,0.0002920796,0.000250037,0.0005335524,0.0002999439,0.0003016807,0.0005931265],"category_scores_gemma":[0.0003913454,0.0001872362,0.0002039058,0.000185458,0.0004123213,0.0003908961,0.0003941795,0.0002012521,0.0001232005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459375,"about_ca_system_score_gemma":0.0001411474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630022,"about_ca_topic_score_gemma":0.001047087,"domain_scores_codex":[0.9999293,0.00001120303,0.000004398941,0.00001675389,0.000017329,0.00002103562],"domain_scores_gemma":[0.9998482,0.000036126,0.00003618013,0.00002398807,0.00002054691,0.00003482377],"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":[0.0002530733,0.00005945323,0.002779356,0.00006991874,0.00004962725,0.001199315,0.0003347609,0.1640141,0.7799227,0.03808587,0.0004097674,0.01282208],"study_design_scores_gemma":[0.00008554176,0.0001438883,0.002543557,0.000008937703,0.00002764152,0.0002060463,0.0001114756,0.8695966,0.1098249,0.01594725,0.001474794,0.00002933731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612241,0.0001851428,0.03545991,0.00009217415,0.00001897885,0.00001535913,0.00004228923,0.0001362613,0.002825745],"genre_scores_gemma":[0.9963103,0.000102917,0.002852215,0.00001013699,0.000002813226,0.000009672694,0.00002920162,0.000005611649,0.0006769547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001630022,"threshold_uncertainty_score":0.003241062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405401889941719,"score_gpt":0.2597025300628318,"score_spread":0.2156485111634146,"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."}}