{"id":"W3136797276","doi":"10.46661/americania.5198","title":"Columbus and Covid-19. Amerindian Antecedents to the Global Pandemic","year":2020,"lang":"en","type":"article","venue":"Americanía Revista de Estudios Latinoamericanos","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Indigenous; Identification (biology); Geography; 2019-20 coronavirus outbreak; Chronology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); History; Ethnology; Genealogy; Political science; Economic geography; Disease; Archaeology; Virology; Infectious disease (medical specialty); Outbreak; Medicine; Biology","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":[0.0006340351,0.0001065841,0.000110072,0.001128068,0.003501476,0.001847773,0.0002780975,0.0006732085,0.01282025],"category_scores_gemma":[0.001990692,0.00009762795,0.0001042447,0.001622203,0.003020079,0.00139708,0.002080432,0.002385397,0.0002294472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003851875,"about_ca_system_score_gemma":0.003417492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143915,"about_ca_topic_score_gemma":0.1686401,"domain_scores_codex":[0.9995652,0.00008566137,0.00001068512,0.00004164697,0.00004009966,0.0002565824],"domain_scores_gemma":[0.9991089,0.0002199946,0.0002374229,0.00003770138,0.0001136993,0.0002823567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003955877,0.0004103901,0.4215195,0.0004442701,0.000035197,0.007409743,0.2301558,0.0002231518,0.001810826,0.1930997,0.02677599,0.1177198],"study_design_scores_gemma":[0.00003102469,0.00006722206,0.5012734,0.0008510507,0.0000220146,0.001505309,0.2411351,0.000148033,0.0002458216,0.01384794,0.2408407,0.0000323651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195624,0.006624257,0.000184014,0.03734288,0.0004538858,0.0000367783,0.0003691919,0.00001754965,0.1354091],"genre_scores_gemma":[0.9923787,0.002355316,0.00008449576,0.00129539,0.0001439858,0.00001404529,0.00008631222,0.000009212459,0.003632569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143915,"threshold_uncertainty_score":0.2274514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0734717500687706,"score_gpt":0.4312189771544428,"score_spread":0.3577472270856722,"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."}}