{"id":"W3109264760","doi":"10.1108/tg-07-2020-0142","title":"Regulation in the COVID-19 pandemic and post-pandemic times: day-watchman tackling the novel coronavirus","year":2020,"lang":"en","type":"article","venue":"Transforming Government People Process and Policy","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Enforcement; Government (linguistics); Business; Accountability; Coronavirus disease 2019 (COVID-19); Political science; Public administration; Public relations; Law; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004075994,0.0001858501,0.0001861647,0.00003604392,0.0004647498,0.0002232489,0.0001980928,0.00004577665,0.00002655793],"category_scores_gemma":[0.0001210067,0.0001170699,0.00003719836,0.0003929443,0.00008296721,0.0005589011,0.00005236008,0.0001445146,0.000005010002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005647857,"about_ca_system_score_gemma":0.00005020827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044511,"about_ca_topic_score_gemma":0.001208262,"domain_scores_codex":[0.9988449,0.00001307131,0.0002619872,0.0002546151,0.0003855085,0.000239947],"domain_scores_gemma":[0.9996008,0.0001081297,0.0001300972,0.0001018577,0.00003057052,0.000028566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005393517,0.0001545919,0.7500151,0.002613635,0.0001107604,0.00000343929,0.08696315,0.002538277,0.004255314,0.08256081,0.000686528,0.06955907],"study_design_scores_gemma":[0.004680576,0.00009368055,0.7761254,0.000165348,0.0002131666,0.00004983191,0.03288341,0.03487919,0.00003928394,0.01049007,0.1394501,0.0009300252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937479,0.0004944709,0.003156642,0.05394619,0.00003736673,0.0006868522,0.00001992057,0.00008560618,0.004093923],"genre_scores_gemma":[0.977469,0.0002675656,0.000009374216,0.02168503,0.0004043339,0.00005622059,0.0000116386,0.00001413461,0.00008265535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1387635,"threshold_uncertainty_score":0.477397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066897809435705,"score_gpt":0.3009980817105017,"score_spread":0.2503291036161446,"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."}}