{"id":"W2607339833","doi":"10.1137/16m1087916","title":"Dynamics of a Time-Delayed Lyme Disease Model with Seasonality","year":2017,"lang":"en","type":"article","venue":"SIAM Journal on Applied Dynamical Systems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyme disease; Basic reproduction number; Hatching; Transmission (telecommunications); Disease; Disease transmission; Dynamics (music); Set (abstract data type); Epidemic model; Tick; Mathematics; Control theory (sociology); Biology; Computer science; Applied mathematics; Demography; Ecology; Medicine; Control (management); Physics; Artificial intelligence; Virology; Internal medicine; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058252,0.0002450812,0.0009362333,0.00003997199,0.0003525585,0.00003819955,0.0002968235,0.0002423175,0.0001350457],"category_scores_gemma":[0.0003312187,0.0001459425,0.0002008598,0.00003801509,0.0006990833,0.00005285989,0.00006731989,0.0006319834,0.00008672588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177417,"about_ca_system_score_gemma":0.0001415383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005339494,"about_ca_topic_score_gemma":0.000002172635,"domain_scores_codex":[0.998156,0.0001018912,0.0006504457,0.0002973414,0.00038601,0.000408345],"domain_scores_gemma":[0.997681,0.0003049151,0.0005097787,0.0006111637,0.000118142,0.000775013],"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":[0.004703152,0.000573598,0.001662523,0.0002412887,0.0002887529,0.00009580459,0.00001562125,0.008902698,0.0001045347,0.9831181,0.00009417344,0.0001997287],"study_design_scores_gemma":[0.001521311,0.0003502296,0.002896017,0.0002648026,0.0002138512,0.0001545218,0.00001241571,0.885372,0.000003473215,0.1090494,0.000008376644,0.0001535433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6194855,0.00005477957,0.3240328,0.006880918,0.0001378081,0.000764898,0.00008685015,0.00006084377,0.04849565],"genre_scores_gemma":[0.9976711,0.00001350645,0.0006946974,0.0002889927,0.0001146471,0.00002688989,0.00002062331,0.00002553809,0.001144025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8764693,"threshold_uncertainty_score":0.5951361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172139338130504,"score_gpt":0.2783180102677097,"score_spread":0.2611040764546593,"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."}}