{"id":"W2185941897","doi":"10.1007/s11538-015-0084-6","title":"An Epidemic Patchy Model with Entry–Exit Screening","year":2015,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Oxford","keywords":"Epidemic model; Biology; Computer science; Medicine; Environmental health","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":[0.001484568,0.00104107,0.002666475,0.001155435,0.0007675216,0.002330039,0.003340728,0.0048127,0.01016724],"category_scores_gemma":[0.005967922,0.0008974749,0.001388819,0.0009537257,0.001861781,0.003398817,0.002077955,0.002337022,0.00113027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009209,"about_ca_system_score_gemma":0.0008852122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007612019,"about_ca_topic_score_gemma":0.002724026,"domain_scores_codex":[0.9992694,0.0002319852,0.00003370831,0.0001769463,0.00007379697,0.0002140418],"domain_scores_gemma":[0.9963721,0.002036412,0.0005463824,0.0002229698,0.0002988231,0.0005233449],"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":[0.0007676922,0.0003455399,0.006221578,0.000481677,0.0003236193,0.002928528,0.0006863256,0.4475365,0.006794284,0.511085,0.009332795,0.01349649],"study_design_scores_gemma":[0.0003867275,0.0002030384,0.001865237,0.00004127143,0.0001902562,0.0005967772,0.0002247602,0.8970585,0.0003163009,0.09761444,0.001426333,0.00007640336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841658,0.002259229,0.261991,0.009321439,0.0005521735,0.0002697814,0.00154173,0.0005289288,0.03936987],"genre_scores_gemma":[0.9626237,0.0006368019,0.00545373,0.0003645649,0.0001568642,0.00009013667,0.0001786547,0.0000406047,0.03045496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016724,"threshold_uncertainty_score":0.03401279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3071181713110985,"score_gpt":0.4231458979066753,"score_spread":0.1160277265955769,"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."}}