{"id":"W3094337877","doi":"10.1007/978-1-0716-1072-5_7","title":"Turning a Differential Delay Equation into a High-Dimensional Map","year":2020,"lang":"en","type":"book-chapter","venue":"Fields Institute monographs","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University; McGill University","funders":"","keywords":"Delay differential equation; Differential equation; Mathematical analysis; Variety (cybernetics); Exact differential equation; Mathematics; Ordinary differential equation; Integrating factor; Differential algebraic equation; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008264483,0.0003496485,0.0003136883,0.0002999625,0.0002084862,0.0002193765,0.0006696657,0.0004325162,0.00009551648],"category_scores_gemma":[0.000008740298,0.0003430677,0.0002422462,0.00008579847,0.00005863055,0.0005445405,0.000403127,0.0006513461,0.0002118778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004286164,"about_ca_system_score_gemma":0.0000929899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007658207,"about_ca_topic_score_gemma":0.0001101509,"domain_scores_codex":[0.9983951,0.00001669336,0.0004434853,0.0004952137,0.0004425137,0.0002069405],"domain_scores_gemma":[0.9989777,0.00003185695,0.0002798207,0.0004778355,0.00009637183,0.0001363765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002271766,0.0000263176,0.00001840811,0.0001102194,0.0001631906,0.00008850898,0.0007188152,0.001364573,0.00003794717,0.9441787,0.002892211,0.0503784],"study_design_scores_gemma":[0.0008219338,0.0003460067,0.00006628137,0.0004632125,0.00009871044,0.00003067203,0.000002804328,0.6396852,0.00008170668,0.2342049,0.1230088,0.001189896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001159868,0.0001113252,0.9807141,0.001467184,0.003391678,0.0002907616,0.00005171119,0.0002324339,0.01258092],"genre_scores_gemma":[0.7868758,0.0002124077,0.1674996,0.004606826,0.00248578,0.0000733919,0.005525703,0.0001451989,0.03257528],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8132145,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100548736682438,"score_gpt":0.222119346788945,"score_spread":0.2011138594221206,"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."}}