{"id":"W3120611106","doi":"10.3329/brc.v7i1.54254","title":"An Overview on COVID-19 Outbreaks Scenario in South Asia","year":2021,"lang":"en","type":"article","venue":"Bioresearch Communications","topic":"Diverse Scientific Research Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Pandemic; Overpopulation; Development economics; Government (linguistics); Economic growth; Poverty; Functional illiteracy; Population; Developing country; Geography; Outbreak; Business; Socioeconomics; Political science; Environmental health; Medicine; Disease; Coronavirus disease 2019 (COVID-19); Economics; Infectious disease (medical specialty); Virology","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":[0.0007795042,0.0005975882,0.0007861886,0.002343763,0.0003500181,0.001283547,0.0006822144,0.0006825475,0.004422025],"category_scores_gemma":[0.0013486,0.0002559579,0.00139606,0.002367287,0.0002835039,0.001396277,0.0006655412,0.0008571771,0.0006628992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858018,"about_ca_system_score_gemma":0.002982239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402146,"about_ca_topic_score_gemma":0.007380773,"domain_scores_codex":[0.9996297,0.00008451734,0.0001210244,0.0000484999,0.00007418909,0.00004193687],"domain_scores_gemma":[0.9994221,0.0002581569,0.0001380801,0.00001014285,0.0001294449,0.00004215782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002805273,0.00009506778,0.005035155,0.167321,0.000713622,0.001705509,0.001797706,0.00138848,0.00279186,0.004659968,0.06960625,0.7446048],"study_design_scores_gemma":[0.00001547095,0.0002353666,0.005933384,0.03701904,0.0008291199,0.002642096,0.001079953,0.0001717577,0.0005725764,0.001357226,0.9500988,0.00004529242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001315708,0.9929022,0.0002345825,0.001459836,0.0003666173,0.00004259193,0.0004398006,0.00002224926,0.003216248],"genre_scores_gemma":[0.00376387,0.9945797,0.0002635827,0.0005735952,0.0001351188,0.00002189718,0.0002683864,0.000003677469,0.0003902135],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004422025,"threshold_uncertainty_score":0.01479322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.57775312661493,"score_gpt":0.61074501808643,"score_spread":0.03299189147150006,"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."}}