{"id":"W3025914743","doi":"10.1016/j.eclinm.2020.100384","title":"The 2019-nCoV pandemic in the global south: A Tsunami ahead","year":2020,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Pandemic; Medicine; Global health; Coronavirus disease 2019 (COVID-19); Personal protective equipment; Politics; Health care; Economic growth; Public relations; Public health; Political science; Law; Disease; Nursing; Economics; Infectious disease (medical specialty)","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":[0.002990263,0.001401851,0.0009904475,0.001408336,0.003024072,0.005367444,0.001581341,0.006999738,0.04018641],"category_scores_gemma":[0.005607569,0.0003171324,0.001369651,0.001562176,0.001984851,0.008572548,0.005064168,0.007992323,0.01588407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00314342,"about_ca_system_score_gemma":0.01626211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442031,"about_ca_topic_score_gemma":0.03999374,"domain_scores_codex":[0.9988575,0.0002562638,0.0000702942,0.0001025295,0.0003209126,0.0003925028],"domain_scores_gemma":[0.9970211,0.0004787896,0.0001466598,0.00009609274,0.0007667947,0.001490463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001365844,0.0000531467,0.0009892265,0.00107329,0.00003260165,0.0005000526,0.000712939,0.0002169876,0.0003982625,0.009351368,0.8998258,0.08670976],"study_design_scores_gemma":[0.00004449259,0.0001088789,0.002960613,0.002127112,0.00005066595,0.0004372487,0.005808195,0.0003464977,0.0002386003,0.01693665,0.970884,0.00005700373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004358405,0.07607249,0.001120223,0.8215031,0.05001263,0.00009834325,0.005462623,0.0006289795,0.04074312],"genre_scores_gemma":[0.1114388,0.2225265,0.009633028,0.5572682,0.03620362,0.0003352824,0.01464114,0.0008381536,0.04711527],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04018641,"threshold_uncertainty_score":0.1344369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679548261090166,"score_gpt":0.4749958302587546,"score_spread":0.307041004149738,"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."}}