{"id":"W3216931223","doi":"","title":"How Strongly Are Local Economies Tied to COVID-19?","year":2021,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Vaccination; Virus; Virology; Demographic economics; Development economics; Geography; Outbreak; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003512126,0.000291741,0.0005947547,0.0002778612,0.0001472641,0.0003573773,0.000372215,0.0002014371,0.001875862],"category_scores_gemma":[0.0009127774,0.0003591255,0.0001940649,0.0002914338,0.00009292837,0.0003711888,0.0002173511,0.000311048,0.003347303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008041783,"about_ca_system_score_gemma":0.0001727692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819603,"about_ca_topic_score_gemma":0.0003365033,"domain_scores_codex":[0.9979101,0.00003602365,0.0005072216,0.000810725,0.00006370073,0.0006721573],"domain_scores_gemma":[0.9982327,0.0001835852,0.0002687297,0.0007784364,0.00004044325,0.000496115],"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":[0.00005197554,0.0001017953,0.1109709,0.0001558805,0.0001560048,0.0002566709,0.0009774499,0.002466758,0.0002035696,0.01358644,0.8700992,0.0009732664],"study_design_scores_gemma":[0.0008293519,0.00004424548,0.01892371,0.00001342135,0.000009152692,0.00001428568,0.0002462189,0.00037837,0.0002661583,0.002916447,0.9758858,0.0004728163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1967348,0.0009323317,0.1533888,0.6379223,0.001767488,0.0004574947,0.000786879,0.0002049414,0.007804976],"genre_scores_gemma":[0.807395,0.0000201467,0.0007837251,0.175353,0.0008694272,0.00004613916,0.00007611851,0.00005799019,0.0153984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6106602,"threshold_uncertainty_score":0.9998861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0569642557321173,"score_gpt":0.2505747717839253,"score_spread":0.193610516051808,"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."}}