{"id":"W4292830111","doi":"10.23919/annsim55834.2022.9859500","title":"Geographical Sevird Covid-19 Model With Travel Restrictions","year":2022,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Air travel; Transmission (telecommunications); 2019-20 coronavirus outbreak; Computer science; Epidemic model; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Engineering; Telecommunications; Virology; Aviation; Demography; Outbreak; Aerospace engineering; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838851,0.0008682411,0.0009762103,0.0007568056,0.0004530542,0.00133034,0.004046428,0.002307839,0.01151854],"category_scores_gemma":[0.002551274,0.0005634583,0.001269346,0.001074529,0.0009731324,0.001415654,0.001647805,0.00169124,0.001423787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182465,"about_ca_system_score_gemma":0.00137341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986587,"about_ca_topic_score_gemma":0.01396604,"domain_scores_codex":[0.999435,0.000235836,0.00003185612,0.0001207848,0.00005603569,0.0001205038],"domain_scores_gemma":[0.9988958,0.0004414237,0.0002223132,0.00008575778,0.0001930802,0.0001617315],"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":[0.0001443535,0.00004665765,0.002288883,0.00006095028,0.00004272398,0.000422468,0.00007001292,0.9559837,0.0004156847,0.03613145,0.002143659,0.00224951],"study_design_scores_gemma":[0.00009557056,0.00008560398,0.000720148,0.00001662044,0.00003402163,0.0001283725,0.00009660191,0.9872241,0.0001353068,0.008075576,0.003362165,0.0000259186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5018497,0.002073139,0.3612602,0.007309933,0.0007219449,0.0005512969,0.02010961,0.001116546,0.1050076],"genre_scores_gemma":[0.9313456,0.000742043,0.02005068,0.0003514118,0.00009415163,0.0003267548,0.003489286,0.00008635291,0.04351375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02986587,"threshold_uncertainty_score":0.05938405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3137631821224269,"score_gpt":0.4245425265349325,"score_spread":0.1107793444125056,"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."}}