{"id":"W4293193282","doi":"10.3934/jcd.2022010","title":"Computation of nonreciprocal dynamics in nonlinear materials","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Dynamics","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Nonlinear system; Reciprocity (cultural anthropology); Continuation; Computation; Symmetry breaking; Invariant (physics); Symmetry (geometry); Classical mechanics; Physics; Mathematics; Statistical physics; Theoretical physics; Computer science; Quantum mechanics; 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":[0.0003300747,0.0002874739,0.0003308112,0.0004262471,0.0002966122,0.0005247801,0.0005043211,0.000634986,0.002211063],"category_scores_gemma":[0.001357154,0.0002697074,0.0002583781,0.0001855015,0.0005603041,0.0006031328,0.0004780316,0.000381446,0.0002809198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006314998,"about_ca_system_score_gemma":0.0004382212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054138,"about_ca_topic_score_gemma":0.001353485,"domain_scores_codex":[0.9999441,0.00001685086,0.000002755002,0.000009736492,0.00001798944,0.000008553768],"domain_scores_gemma":[0.9997073,0.0001646743,0.00004236782,0.00003480625,0.0000248917,0.00002585268],"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":[0.0001266676,0.0000563702,0.001411017,0.00009658112,0.00002999595,0.0002776904,0.0001530769,0.873632,0.02813979,0.077751,0.0005709358,0.0177549],"study_design_scores_gemma":[0.000003791348,0.000004838966,0.00008266227,0.000002047154,7.166408e-7,0.000007400452,0.000005142904,0.9954064,0.0006682173,0.003687294,0.0001293971,0.000002157083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6596629,0.0002728298,0.3222769,0.0004683305,0.00005618152,0.00006349877,0.0001144728,0.0004599564,0.01662504],"genre_scores_gemma":[0.9497021,0.0001049134,0.04629483,0.00002738419,0.000009132144,0.00005864754,0.00005452202,0.00008217261,0.003666295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002211063,"threshold_uncertainty_score":0.007396758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009505612555453371,"score_gpt":0.2523176364404776,"score_spread":0.2428120238850242,"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."}}