{"id":"W4387140009","doi":"10.18280/ijsse.130418","title":"Improving the SIR Model: Isolation and Containment Strategies for COVID-19 - A Case Study of Ain-Touta City","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Isolation (microbiology); Pandemic; Quarantine; Coronavirus disease 2019 (COVID-19); Outbreak; Hygiene; Basic reproduction number; Distancing; Containment (computer programming); Population; Infectious disease (medical specialty); Transmission (telecommunications); Hand washing; Contact tracing; Epidemic model; Medicine; Disease; Environmental health; Computer science; Virology; Biology; Pathology; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001162178,0.0007326744,0.0006929471,0.000678101,0.0005965116,0.001423001,0.001440269,0.001763941,0.002860118],"category_scores_gemma":[0.002550644,0.000310101,0.0007599193,0.0004384533,0.000778967,0.0007826728,0.001390692,0.001340938,0.0001762552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382714,"about_ca_system_score_gemma":0.001283789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03847332,"about_ca_topic_score_gemma":0.02636202,"domain_scores_codex":[0.9996384,0.0001790096,0.00001077201,0.00005105662,0.00002525318,0.00009550912],"domain_scores_gemma":[0.9986363,0.000880347,0.0001784555,0.00005095288,0.0001354656,0.0001184151],"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":[0.0002003395,0.0002356006,0.01111568,0.00007091655,0.00005729824,0.001303648,0.0001735998,0.9611368,0.0007590068,0.01984658,0.001288593,0.003812011],"study_design_scores_gemma":[0.00002061014,0.00006037442,0.000955585,0.000008846001,0.00001932421,0.00005269004,0.0002089817,0.9956994,0.0001409356,0.002308043,0.0005128613,0.00001236464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219106,0.0007485582,0.05784618,0.002320988,0.0001174202,0.0001465451,0.0006749927,0.0001024772,0.01613222],"genre_scores_gemma":[0.9882181,0.0002725884,0.006270695,0.00006444595,0.00003453829,0.0000469551,0.000195888,0.00001753896,0.004879404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03847332,"threshold_uncertainty_score":0.07649875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310142292239425,"score_gpt":0.3956392503758823,"score_spread":0.2646250211519398,"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."}}