{"id":"W3203260001","doi":"10.1038/s41597-021-01031-5","title":"COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020","year":2021,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Nanovic Institute for European Studies; University of Notre Dame","keywords":"Timeline; Accountability; Audit; Categorization; Social media; Pandemic; Political science; Immigration; Coronavirus disease 2019 (COVID-19); Public relations; Database; Data science; Business; Geography; World Wide Web; Computer science; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004336895,0.0002727309,0.0006528529,0.00005120023,0.0005414171,0.0002226357,0.001583979,0.00009290077,0.001134624],"category_scores_gemma":[0.06531892,0.0002177902,0.000102079,0.001463218,0.0008730604,0.0004455649,0.005216312,0.0002151691,0.00003675671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841695,"about_ca_system_score_gemma":0.0008867208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005035459,"about_ca_topic_score_gemma":0.00433474,"domain_scores_codex":[0.9956334,0.0004153326,0.0008402339,0.001834989,0.0007202792,0.0005557605],"domain_scores_gemma":[0.9929974,0.001163646,0.0003160168,0.004814642,0.0005526906,0.0001555783],"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":[0.0003021256,0.001619106,0.03736913,0.002954835,0.0003666875,0.00008222761,0.0009361064,0.00001770997,0.03316466,0.003934407,0.9174392,0.001813843],"study_design_scores_gemma":[0.004363519,0.0001017612,0.04736228,0.0004621066,0.0006294604,0.00006838316,0.002555269,0.002545863,0.02881284,0.05066134,0.8607937,0.001643539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233399,0.001912739,0.004022752,0.008814988,0.002344308,0.001576197,0.05620686,0.0003106876,0.001471591],"genre_scores_gemma":[0.9184316,0.0002132465,0.05928888,0.001185262,0.000774048,0.0001566223,0.01473193,0.00006532444,0.005153026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06098202,"threshold_uncertainty_score":0.9997784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.242360913952074,"score_gpt":0.4859240835732053,"score_spread":0.2435631696211312,"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."}}