{"id":"W2797815516","doi":"10.1142/s1793524518500626","title":"Analysis of within-host CHIKV dynamics models with general incidence rate","year":2018,"lang":"en","type":"article","venue":"International Journal of Biomathematics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Chikungunya; Stability (learning theory); Lyapunov function; Host (biology); Dynamics (music); Virus; Nonlinear system; Virology; Function (biology); Incidence (geometry); Mathematics; Biology; Physics; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007633676,0.0008551429,0.001133013,0.0008096282,0.0006247263,0.001245674,0.001085062,0.001152478,0.002325512],"category_scores_gemma":[0.002672856,0.0004231627,0.00132432,0.0003451306,0.0008581713,0.001387619,0.001150587,0.0009563239,0.0002706842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171182,"about_ca_system_score_gemma":0.0009595298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280706,"about_ca_topic_score_gemma":0.004372482,"domain_scores_codex":[0.9996443,0.0001076133,0.00001487274,0.00009503013,0.00005885179,0.00007929993],"domain_scores_gemma":[0.9988224,0.0005047973,0.0003178697,0.00004704165,0.0002155991,0.00009226061],"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":[0.00003782547,0.00002742508,0.002603172,0.00004649621,0.00007330245,0.0002274121,0.0001214575,0.9657617,0.002013289,0.02701628,0.0003339155,0.001737782],"study_design_scores_gemma":[0.000005274632,0.00001605072,0.0003441277,0.000003410613,0.00001555426,0.00002993951,0.00002174391,0.9950472,0.00009997402,0.004247206,0.0001635516,0.000005929546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6250457,0.001840961,0.3557959,0.001437783,0.0001078536,0.00008967071,0.0003943916,0.0002316025,0.01505617],"genre_scores_gemma":[0.9895896,0.0005047375,0.003894868,0.00004543954,0.00004221918,0.00007027023,0.0001354218,0.00003303223,0.005684417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280706,"threshold_uncertainty_score":0.02546507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460414490799342,"score_gpt":0.3220958296577496,"score_spread":0.2974916847497562,"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."}}