{"id":"W4383560291","doi":"10.54254/2755-2721/6/20230403","title":"Big data in COVID-19 prevention and control: Modeling and analysis report","year":2023,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Epidemic model; 2019-20 coronavirus outbreak; Partition (number theory); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); China; Econometrics; Computer science; Epidemic control; Epidemic disease; Operations research; Infectious disease (medical specialty); Geography; Virology; Demography; Mathematics; Medicine; Outbreak; Disease; Sociology; Population","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":[0.00480591,0.0007403366,0.0007751147,0.001745277,0.0006173672,0.001599739,0.001163543,0.001116995,0.001747494],"category_scores_gemma":[0.007853169,0.0004668892,0.001390024,0.002732826,0.0004356874,0.002336594,0.001202486,0.001882067,0.0002729844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733538,"about_ca_system_score_gemma":0.001768082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02969228,"about_ca_topic_score_gemma":0.01806165,"domain_scores_codex":[0.9985896,0.0006035193,0.0001062506,0.0002236059,0.0003234668,0.0001535444],"domain_scores_gemma":[0.9945908,0.00329301,0.0005378777,0.0004446716,0.0008953415,0.0002382613],"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":[0.0002733148,0.0004690305,0.1307824,0.0007446944,0.0006386265,0.0006496058,0.0002757804,0.6700014,0.0006632519,0.07418191,0.03739428,0.08392572],"study_design_scores_gemma":[0.000009418645,0.00003725843,0.008751528,0.00005553089,0.00004504867,0.00004558803,0.00008382875,0.9746348,0.0002197014,0.01197904,0.004117134,0.0000210298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.530045,0.02852388,0.3399616,0.0418736,0.00219841,0.0008270239,0.0319264,0.001527101,0.02311697],"genre_scores_gemma":[0.9328717,0.008121363,0.04280202,0.000515143,0.0004812306,0.0004071919,0.01075827,0.00006827377,0.003974899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02969228,"threshold_uncertainty_score":0.05903894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220875934798015,"score_gpt":0.3921353423455063,"score_spread":0.1712594075474914,"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."}}