{"id":"W2007233544","doi":"10.1063/1.4913417","title":"Chaotic dynamics and diffusion in a piecewise linear equation","year":2015,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Universita degli Studi di Bari Aldo Moro; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Piecewise linear function; Nonlinear system; Chaotic; Eigenvalues and eigenvectors; Piecewise; Differential equation; Flow (mathematics); Delay differential equation; Statistical physics; Applied mathematics; Mathematical analysis; Control theory (sociology); Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002350818,0.0003318163,0.0002778134,0.0004266536,0.0003197552,0.0005872449,0.0004459256,0.0007976932,0.00235325],"category_scores_gemma":[0.00139296,0.0002001308,0.0004598667,0.0003104193,0.0006565502,0.001238193,0.0005547865,0.0007064618,0.0001697929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501972,"about_ca_system_score_gemma":0.000346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004429433,"about_ca_topic_score_gemma":0.001639634,"domain_scores_codex":[0.9999034,0.00002700124,0.00000512706,0.00002082139,0.00002756944,0.00001606192],"domain_scores_gemma":[0.9996712,0.000155538,0.00008818457,0.0000205645,0.00003908281,0.0000254201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004153167,0.0000241312,0.002238594,0.00006549983,0.00003015756,0.0004688416,0.0003757361,0.5565206,0.02052264,0.412952,0.0008937244,0.005866414],"study_design_scores_gemma":[0.000008537731,0.00001410803,0.0004417977,0.000004378165,0.000006103923,0.00008237932,0.00002621713,0.9661506,0.0004513751,0.03208932,0.0007167365,0.000008553575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412689,0.0007445531,0.5619654,0.002531696,0.0001105001,0.00006464437,0.0003694113,0.0002944724,0.0212304],"genre_scores_gemma":[0.9572447,0.0004897325,0.02880636,0.0001382743,0.00005029169,0.00005862678,0.0001043884,0.00004013368,0.01306743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004429433,"threshold_uncertainty_score":0.008807302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265101193473856,"score_gpt":0.314373105475303,"score_spread":0.2917220935405644,"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."}}