{"id":"W3133417979","doi":"10.1007/s43678-021-00083-1","title":"Maintaining a global health partnership during the COVID-19 pandemic: a road map from the Toronto Addis Ababa Academic Collaboration in Emergency Medicine","year":2021,"lang":"en","type":"review","venue":"Canadian Journal of Emergency Medicine","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Addis Ababa University; University of Toronto; University Health Network","keywords":"General partnership; Pandemic; Coronavirus disease 2019 (COVID-19); Global health; Space (punctuation); Medical education; Medicine; Public health; Political science; Nursing; Computer science; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007523591,0.001329046,0.001473109,0.003029522,0.002943149,0.006630416,0.001887604,0.003811697,0.00965774],"category_scores_gemma":[0.006476949,0.0007109691,0.001031817,0.006649971,0.00153347,0.004569466,0.004885735,0.007189478,0.001794083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03123495,"about_ca_system_score_gemma":0.1134372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3882527,"about_ca_topic_score_gemma":0.7010361,"domain_scores_codex":[0.9976836,0.0005190934,0.0002107934,0.0001279854,0.0008004262,0.0006580818],"domain_scores_gemma":[0.990528,0.001482359,0.000628567,0.00007847843,0.003865532,0.003417028],"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":[0.0002342712,0.0001011409,0.001737673,0.0391952,0.0002288723,0.0004577476,0.002465013,0.000572985,0.0003542954,0.01549235,0.3581541,0.5810063],"study_design_scores_gemma":[0.00007904912,0.00009679853,0.005654394,0.05044698,0.0002039965,0.0002128834,0.003331447,0.0001110347,0.00009109951,0.00199248,0.9377297,0.00005016624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003651705,0.9524562,0.0001234832,0.04130771,0.002221727,0.00006747718,0.0002451239,0.00002580639,0.003187293],"genre_scores_gemma":[0.005290353,0.9847948,0.0009646529,0.006671535,0.0004111709,0.00006339433,0.0001935612,0.00001191168,0.001598681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3882527,"threshold_uncertainty_score":0.7719856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2651059917561681,"score_gpt":0.5202244418037216,"score_spread":0.2551184500475535,"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."}}