{"id":"W4390971284","doi":"10.1109/bibm58861.2023.10385665","title":"Mining COVID-19 Data to Predict The Effect of Policies on Severity of Outbreaks","year":2023,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Data mining; Data science; Virology; 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":[0.003771165,0.0007150358,0.0005732428,0.004559943,0.0003529125,0.0008854197,0.0006912184,0.0008248813,0.001006376],"category_scores_gemma":[0.01243855,0.0002562579,0.001158746,0.003422462,0.0002284034,0.0009174472,0.0005580611,0.001057345,0.0003796288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007690551,"about_ca_system_score_gemma":0.001270883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888045,"about_ca_topic_score_gemma":0.01857804,"domain_scores_codex":[0.9988003,0.0003978949,0.0001995941,0.0002622531,0.0001591904,0.0001808759],"domain_scores_gemma":[0.9899902,0.006223734,0.00168431,0.0006994309,0.0009832835,0.0004190181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002885394,0.0003801613,0.8789933,0.0001956049,0.0002356837,0.0002999505,0.0001318164,0.08864471,0.0008134488,0.0009466826,0.005855552,0.02321456],"study_design_scores_gemma":[0.0000587961,0.0002473575,0.4262642,0.0001464685,0.0001168026,0.0002973772,0.0007821886,0.5598819,0.002011568,0.002612744,0.007532751,0.00004782268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350241,0.0006238566,0.01139974,0.001161458,0.00008173222,0.0002083422,0.0493873,0.0004417513,0.001671801],"genre_scores_gemma":[0.9141065,0.0003846735,0.02017885,0.0001226161,0.00004655056,0.0001326579,0.06454839,0.00002445639,0.0004553557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01888045,"threshold_uncertainty_score":0.03754109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4124281498505321,"score_gpt":0.4905563829316218,"score_spread":0.07812823308108974,"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."}}