{"id":"W4288062801","doi":"10.2139/ssrn.4148608","title":"The Local Governance of COVID-19: Lessons Learned and Ways Forward in Rural Bangladesh","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Corporate governance; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Economic growth; Political science; Development economics; Public administration; Economics; Virology; Medicine; Finance; Outbreak","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":[0.002483917,0.0001848907,0.0002831295,0.0006122861,0.001489571,0.004132341,0.000843383,0.0009564365,0.01424551],"category_scores_gemma":[0.005565323,0.0002056702,0.0001183603,0.002221839,0.002953573,0.002412626,0.002785569,0.001245575,0.0006660821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01173806,"about_ca_system_score_gemma":0.01255065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1307317,"about_ca_topic_score_gemma":0.2143407,"domain_scores_codex":[0.998285,0.0008344316,0.00004639145,0.0001161005,0.0001181525,0.0005999044],"domain_scores_gemma":[0.9965003,0.0009667556,0.0004765365,0.00017714,0.0007041932,0.001175014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004314781,0.0004260488,0.2674136,0.001458578,0.0001363492,0.003899763,0.03902926,0.01286729,0.002585686,0.4604071,0.06182837,0.1495164],"study_design_scores_gemma":[0.0001250082,0.0004306167,0.3383266,0.001534214,0.0000950273,0.0004376958,0.2342962,0.008734464,0.0007254687,0.1545458,0.2605651,0.0001837022],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7180317,0.00619304,0.005148741,0.1247534,0.0001914252,0.0003086265,0.001818446,0.00008570689,0.1434689],"genre_scores_gemma":[0.9913089,0.00139345,0.0003786509,0.0007719197,0.00001855133,0.00003947714,0.0001010144,0.0000104961,0.00597741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307317,"threshold_uncertainty_score":0.2599416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448381349255703,"score_gpt":0.2728921219661974,"score_spread":0.2384083084736404,"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."}}