{"id":"W3110871297","doi":"10.18357/bigr21202019856","title":"Governance in Imperial County and Mexicali at the U.S.–Mexico Border during the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Corporate governance; Population; Geography; Political science; 2019-20 coronavirus outbreak; Economic growth; Business; Sociology; Economics; Demography; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323419,0.0001339597,0.0002596816,0.00001850989,0.0006068308,0.00005416671,0.0003070058,0.00009643003,0.0003323878],"category_scores_gemma":[0.002904506,0.00009515018,0.00005808379,0.001389843,0.0003991586,0.0001429107,0.00006972529,0.0001509348,0.000007627249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007309561,"about_ca_system_score_gemma":0.0004553451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01119969,"about_ca_topic_score_gemma":0.07030518,"domain_scores_codex":[0.9976641,0.0007134497,0.0005024786,0.0003182259,0.000470456,0.0003312684],"domain_scores_gemma":[0.9991232,0.0001965022,0.0002132941,0.0002041167,0.00007449434,0.0001884109],"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":[0.00005418781,0.0000528921,0.7388592,0.001901275,0.00001442063,0.000004693023,0.01607316,0.0002334155,0.000001903331,0.1852568,0.05617645,0.001371607],"study_design_scores_gemma":[0.0003364321,0.000009290702,0.01344489,0.000138316,0.00001300398,0.000001436531,0.0003958603,0.00005160538,1.775668e-7,0.001283856,0.9842036,0.0001215537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05319633,0.6395761,0.00111121,0.2866082,0.0009962415,0.00550822,0.0002052352,0.0002301595,0.01256821],"genre_scores_gemma":[0.1995181,0.7235516,0.00003950973,0.07624334,0.0002161668,0.0001152946,0.00002350711,0.00001542656,0.0002770282],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9280272,"threshold_uncertainty_score":0.9953848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618375813695879,"score_gpt":0.3549600699964454,"score_spread":0.3287763118594866,"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."}}