{"id":"W2952469688","doi":"10.48550/arxiv.math/0512511","title":"Spiral anchoring in media with multiple inhomogeneities: a dynamical system approach","year":2005,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Anchoring; Symmetry breaking; Symmetry (geometry); Spiral (railway); Euclidean geometry; Rotational symmetry; Physics; Anisotropy; Theoretical physics; Geometry; Mathematics; Optics; Quantum mechanics; Mathematical analysis; Mechanics; Psychology; Cognitive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278932,0.0005645082,0.0006239381,0.0009116373,0.0006439494,0.001173733,0.0006781711,0.001260593,0.002155419],"category_scores_gemma":[0.001380585,0.0003804113,0.0007493793,0.0003418767,0.001723108,0.001611191,0.001511219,0.0008480016,0.0002514597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009212677,"about_ca_system_score_gemma":0.0003567864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090444,"about_ca_topic_score_gemma":0.001902751,"domain_scores_codex":[0.9998617,0.00005451983,0.000007029267,0.0000263361,0.00002639614,0.0000240198],"domain_scores_gemma":[0.9995825,0.0001826639,0.00008775535,0.00002920135,0.00005233958,0.00006569827],"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":[0.00007116384,0.00004861758,0.002584152,0.0001098704,0.00007674851,0.0003316689,0.0003261107,0.5312657,0.007155997,0.4488368,0.001845067,0.007348087],"study_design_scores_gemma":[0.00001600795,0.00001980526,0.0004257077,0.00001183344,0.000006800778,0.00003722092,0.00004793681,0.9303497,0.0001902915,0.06769873,0.00117968,0.00001625441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3176726,0.004421778,0.6285757,0.004183137,0.0003379497,0.0001527246,0.0003841041,0.0002490303,0.04402287],"genre_scores_gemma":[0.95661,0.002147314,0.03239201,0.0002282552,0.0001964907,0.0001709694,0.0001325855,0.00005922072,0.008063149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003090444,"threshold_uncertainty_score":0.007210612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303620547313129,"score_gpt":0.2316251206375734,"score_spread":0.2012630659062605,"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."}}