{"id":"W4206164567","doi":"10.1007/s11538-021-00983-4","title":"Modeling and Evaluation of the Joint Prevention and Control Mechanism for Curbing COVID-19 in Wuhan","year":2022,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Science Foundation of Heilongjiang Province; People's Government of Jilin Province; National Natural Science Foundation of China; Natural Science Foundation of Jilin Province","keywords":"Joint (building); Mechanism (biology); Coronavirus disease 2019 (COVID-19); Control (management); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Virology; Engineering; Artificial intelligence; Biology; Medicine; Outbreak; Physics; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006778932,0.000107553,0.0005097044,0.0000493793,0.0001246571,0.000002417587,0.0001115142,0.00007441328,0.0001742858],"category_scores_gemma":[0.02440872,0.00007187045,0.00008684195,0.00005440389,0.0001423806,0.000005133181,0.0002880924,0.0001169985,3.47533e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009313015,"about_ca_system_score_gemma":0.00005082611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004813448,"about_ca_topic_score_gemma":0.00001208855,"domain_scores_codex":[0.9978589,0.0009065766,0.0006590046,0.0002335507,0.0001776768,0.0001642992],"domain_scores_gemma":[0.9952354,0.004211189,0.0002635951,0.0001612367,0.00009113255,0.00003746726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000965084,0.000225978,0.0004280886,0.0009459271,0.00005912736,1.685562e-7,0.0006102444,0.0009955006,0.002359861,0.9934076,0.0001657261,0.0007052576],"study_design_scores_gemma":[0.001282859,0.0001952603,0.00005725069,0.0000444178,0.00009466958,0.000004208458,0.0003674678,0.1282577,0.0001035705,0.8694331,0.00009541728,0.00006406206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904947,0.0003663964,0.1941281,0.01287621,0.00004303567,0.001947543,0.00002810828,0.00001875195,0.00009713648],"genre_scores_gemma":[0.9908817,0.000015832,0.008121151,0.0005199212,0.00001003603,0.0004278631,0.000001363366,0.000007548606,0.00001457541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.200387,"threshold_uncertainty_score":0.9838091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3049401604176414,"score_gpt":0.4357750668825628,"score_spread":0.1308349064649214,"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."}}