{"id":"W2964487011","doi":"10.1007/s10441-019-09351-1","title":"On the Effect of Age-Dependent Mortality on the Stability of a System of Delay-Differential Equations Modeling Erythropoiesis","year":2019,"lang":"en","type":"article","venue":"Acta Biotheoretica","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University Health Centre; McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Erythropoiesis; Stability (learning theory); Delay differential equation; Mathematics; Applied mathematics; Differential equation; Ordinary differential equation; Mathematical analysis; Medicine; Internal medicine; Computer science; Anemia","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002558442,0.0001755294,0.0007819574,0.00004098309,0.00006884275,0.00000275923,0.0002243788,0.0002043373,0.001958161],"category_scores_gemma":[0.00300206,0.00007535713,0.0002767098,0.00009642023,0.001238619,0.00001332562,0.00007239286,0.0002938804,0.00002401821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002810539,"about_ca_system_score_gemma":0.00002910884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002783895,"about_ca_topic_score_gemma":0.0000017776,"domain_scores_codex":[0.9977147,0.0008804621,0.000658243,0.0002412887,0.0002849928,0.0002203009],"domain_scores_gemma":[0.9869496,0.01186774,0.0002172443,0.0008256854,0.00007935698,0.0000603357],"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":[0.0008891421,0.0002246603,0.0007742522,0.0007546757,0.0002621452,0.000001044542,0.0001753815,0.00009793883,0.004241848,0.9925489,0.000008629489,0.00002132801],"study_design_scores_gemma":[0.001837998,0.005563532,0.0007320966,0.001400277,0.001133272,0.000008495826,0.0005894037,0.5797764,0.1187377,0.2899764,0.00000134895,0.0002429721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720424,0.00001329774,0.01628635,0.001190288,0.00008467332,0.0008806316,0.00003256156,0.0000175779,0.009452154],"genre_scores_gemma":[0.9997882,0.000005598467,0.00002629245,0.00009956823,0.00001635149,0.00003061079,0.000005295746,0.00001179333,0.00001623789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7025725,"threshold_uncertainty_score":0.9989542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308516946373651,"score_gpt":0.2894225712611335,"score_spread":0.2585708766237684,"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."}}