{"id":"W4285675884","doi":"10.1109/ntpe.2020.9778162","title":"COVID-19: The Threat and Impact Vectors","year":2020,"lang":"en","type":"article","venue":"IEEE Technology Policy and Ethics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Pandemic; Globe; Politics; Work (physics); Coronavirus disease 2019 (COVID-19); Interdependence; Political science; Business; Economic growth; Law; Medicine; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004469867,0.001491748,0.0006643953,0.001795892,0.002362251,0.007246668,0.001098541,0.003618756,0.03090033],"category_scores_gemma":[0.008322868,0.0003819642,0.0007031813,0.0013072,0.002900432,0.006967414,0.005618129,0.005719384,0.007786668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258611,"about_ca_system_score_gemma":0.005140443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005784545,"about_ca_topic_score_gemma":0.004698892,"domain_scores_codex":[0.996895,0.0009081012,0.0001498238,0.0002518448,0.001258187,0.0005370174],"domain_scores_gemma":[0.9959002,0.001400999,0.0003751089,0.0001540725,0.0009514874,0.001217948],"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":[0.0002875107,0.0001191239,0.00781507,0.001662135,0.00005849581,0.0007101324,0.001119551,0.0005035708,0.001708201,0.1013663,0.5439499,0.3407001],"study_design_scores_gemma":[0.00001701662,0.0002679626,0.002632592,0.001885506,0.00004598706,0.001142404,0.002547499,0.0006571295,0.0007799909,0.03104752,0.958909,0.00006735542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01743191,0.2530825,0.0116928,0.4733968,0.02952093,0.0003698705,0.004327669,0.001316259,0.2088611],"genre_scores_gemma":[0.32005,0.4111592,0.02018249,0.1430108,0.02420771,0.0005225685,0.007194128,0.0006515147,0.07302155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03090033,"threshold_uncertainty_score":0.1033719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432205575990114,"score_gpt":0.3678132882608025,"score_spread":0.2245927306617911,"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."}}