{"id":"W2123146480","doi":"10.1098/rspa.2009.0377","title":"Travelling waves of a diffusive Kermack–McKendrick epidemic model with non-local delayed transmission","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Epidemic model; Traveling wave; Ordinary differential equation; Transmission (telecommunications); Locality; Invariant (physics); Basic reproduction number; Fixed-point theorem; Applied mathematics; Mathematical analysis; Differential equation; Computer science; Telecommunications; Demography; Mathematical physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004278351,0.0001820403,0.0006170478,0.0000185481,0.0001146067,0.000006802828,0.000171568,0.0001113223,0.000008425984],"category_scores_gemma":[0.0001184592,0.00008941093,0.0002475548,0.0002195597,0.001055849,0.0000640409,0.00003827738,0.0002713027,6.868023e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001014222,"about_ca_system_score_gemma":0.00002248648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001060021,"about_ca_topic_score_gemma":6.427952e-9,"domain_scores_codex":[0.9988632,0.000004422421,0.0003373679,0.0002403251,0.0002525625,0.0003021248],"domain_scores_gemma":[0.9993092,0.0003111738,0.0001028906,0.00006047781,0.00006492661,0.0001513665],"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":[0.0001794511,0.0008496632,0.0001043193,0.002039472,0.0001411788,5.390698e-7,0.003780617,0.02165831,0.02599679,0.9440659,0.00007025118,0.001113529],"study_design_scores_gemma":[0.0002840927,0.0004174959,0.0005297104,0.0004238202,0.0001232496,0.000009353746,0.0001250422,0.8131793,0.005017455,0.1797974,8.209253e-7,0.00009224032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001449,0.00004099314,0.1969868,0.00109923,0.000005620903,0.0001845196,0.000001321989,0.00002328558,0.001513345],"genre_scores_gemma":[0.9758592,0.00001839917,0.02387186,0.0001487543,0.00002620296,0.000007065802,2.01592e-7,0.000006582078,0.00006178035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.791521,"threshold_uncertainty_score":0.3890319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007747658697657,"score_gpt":0.2370692161500218,"score_spread":0.2269917395630452,"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."}}