{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005036,0.0001217304,0.0003082009,0.0005169506,0.00008652607,0.00005898447,0.0006010607,0.00004041659,0.00001269797],"category_scores_gemma":[0.00002724623,0.0001286735,0.00009762539,0.0004452952,0.00002574109,0.0004682695,0.0002303699,0.0002771372,0.000002072207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00060815,"about_ca_system_score_gemma":0.0002653966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002242556,"about_ca_topic_score_gemma":0.00005654518,"domain_scores_codex":[0.9977315,0.0001783078,0.001054194,0.0001323603,0.0007480087,0.0001556488],"domain_scores_gemma":[0.9983094,0.0001543514,0.0009894879,0.0001146514,0.0003797944,0.00005235996],"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":[0.00005623754,0.0002472972,0.001922388,0.00003449629,0.00002368348,0.00002517846,0.0002807896,0.9266208,0.00004384173,0.06079638,0.0000153798,0.009933542],"study_design_scores_gemma":[0.0006803524,0.0002754359,0.004935432,0.00002839845,0.000005974386,0.0002334103,0.0001272081,0.9580724,0.00002272686,0.0354839,0.00002179395,0.0001129435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3978246,0.00001330266,0.6010474,0.0003956285,0.0004906839,0.00007255656,0.00007555638,0.000007298972,0.00007295337],"genre_scores_gemma":[0.8939068,0.000003827322,0.1057509,0.00009776124,0.00004854889,0.00000215098,0.0001703941,0.00001058487,0.000009021575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4960822,"threshold_uncertainty_score":0.5247152,"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."}}