{"id":"W2025756337","doi":"10.1063/1.4915529","title":"Dynamical disease: Challenges for nonlinear dynamics and medicine","year":2015,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Lady Davis Fellowship Trust, Hebrew University of Jerusalem; Hebrew University of Jerusalem; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Attractor; Nonlinear dynamical systems; Nonlinear system; Dynamical systems theory; Dynamics (music); Statistical physics; Stability (learning theory); Computer science; Function (biology); Bifurcation; Applied mathematics; Mathematics; Physics; Mathematical analysis; Machine learning; Biology","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":[0.005206794,0.0008702811,0.002630853,0.001679924,0.001853206,0.004730511,0.001713716,0.005802007,0.004814779],"category_scores_gemma":[0.009699998,0.0003885457,0.0009051214,0.0007956465,0.0108516,0.009364663,0.004326325,0.008296846,0.00103017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003061587,"about_ca_system_score_gemma":0.003043409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337256,"about_ca_topic_score_gemma":0.002196971,"domain_scores_codex":[0.9984799,0.0006883067,0.00007493673,0.0002257843,0.0004035287,0.0001274651],"domain_scores_gemma":[0.9886894,0.008601767,0.0003904401,0.0005318325,0.001046798,0.0007396932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002316089,0.00004223049,0.0005509715,0.0004461606,0.00006112274,0.0001547811,0.0004852833,0.005060561,0.0003167577,0.9311063,0.02328512,0.03846764],"study_design_scores_gemma":[0.000009574302,0.00001969254,0.0002578813,0.0001731925,0.000005897656,0.00008947304,0.0003153818,0.004295578,0.00003229765,0.9650376,0.02973953,0.00002377715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007265766,0.2679831,0.08470672,0.602073,0.006911079,0.00005855626,0.0003581543,0.0001565254,0.03048708],"genre_scores_gemma":[0.3979457,0.4353545,0.07452509,0.03746832,0.03852702,0.0005199444,0.0003703072,0.000156279,0.01513282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005802007,"threshold_uncertainty_score":0.02753651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06767611290410085,"score_gpt":0.3687579922357717,"score_spread":0.3010818793316708,"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."}}