{"id":"W4402473760","doi":"10.1109/ccece59415.2024.10667276","title":"Using Probabilistic Planning to Model the Spread of COVID-19 in Kingston, Ontario","year":2024,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Probabilistic logic; Coronavirus disease 2019 (COVID-19); Computer science; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007094899,0.0005050381,0.0003319457,0.0005381315,0.0007653572,0.001141877,0.001152856,0.0007279079,0.00322392],"category_scores_gemma":[0.002864278,0.0005127735,0.0005153654,0.0007326898,0.000899605,0.0005029059,0.0007645859,0.0005195029,0.0002273278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009971578,"about_ca_system_score_gemma":0.01085553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8781116,"about_ca_topic_score_gemma":0.8652037,"domain_scores_codex":[0.9996572,0.0001380623,0.0000150208,0.00005284325,0.00005441752,0.00008242221],"domain_scores_gemma":[0.998979,0.0005974298,0.0001355736,0.00003734634,0.0001598856,0.0000908017],"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":[0.00001976703,0.000006099794,0.002764683,0.00001250885,0.000009471488,0.00005658762,0.00005791265,0.9916504,0.00005528958,0.003595356,0.0004629726,0.001309033],"study_design_scores_gemma":[0.00002158434,0.00001280416,0.001566554,0.000009308381,0.00001160531,0.00001485952,0.000122186,0.9928051,0.00005517903,0.003497806,0.001871788,0.00001126689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7282616,0.0008923353,0.1826941,0.004299112,0.0001090687,0.0004490158,0.009713011,0.0005259725,0.07305574],"genre_scores_gemma":[0.9783612,0.0003333053,0.01310602,0.00006497245,0.00001252037,0.00008608386,0.001051627,0.00002846682,0.006955784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218884,"threshold_uncertainty_score":0.2452124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5292665254399735,"score_gpt":0.4893859169183131,"score_spread":0.03988060852166042,"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."}}