{"id":"W3111202783","doi":"","title":"IMPACT OF CORONAVIRUS ON SMALL AND MEDIUM ENTERPRISES (SMES): TOWARDS POST-COVID-19 ECONOMIC RECOVERY IN NIGERIA","year":2020,"lang":"en","type":"article","venue":"Academy of strategic management journal/Academy of Strategic Management journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Digitization; Coronavirus disease 2019 (COVID-19); Government (linguistics); Small and medium-sized enterprises; Agency (philosophy); Economic growth; Economic recovery; Economics; Finance","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":[],"category_scores_codex":[0.003927318,0.0008688653,0.001971284,0.00233298,0.0002065654,0.0002651312,0.001763145,0.0005080506,0.0020363],"category_scores_gemma":[0.00007715101,0.0008778755,0.0007933988,0.0007107496,0.0003622579,0.0008115326,0.0004438628,0.002108429,0.00004573974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062392,"about_ca_system_score_gemma":0.0002993135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001637911,"about_ca_topic_score_gemma":0.000006443404,"domain_scores_codex":[0.9927247,0.0002378849,0.004390295,0.00100413,0.000486173,0.001156804],"domain_scores_gemma":[0.9934621,0.0002414733,0.004846272,0.0002632004,0.00004546347,0.001141458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008523453,0.00182616,0.1546786,0.008616326,0.01205151,0.0008457607,0.003746168,0.04773186,0.0009409318,0.7489824,0.003405161,0.008651605],"study_design_scores_gemma":[0.01256753,0.003399385,0.1421095,0.001059386,0.0004190439,0.0003429275,0.008021373,0.001341385,0.0002063456,0.8260598,0.002782904,0.001690372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917627,0.00373279,0.0002838676,0.0124276,0.0003476528,0.001172219,0.0002494314,0.00004262267,0.06411681],"genre_scores_gemma":[0.9624482,0.03318362,0.0007935271,0.002955734,0.0003067735,0.0000155871,0.000008699839,0.00007770504,0.0002101675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07707741,"threshold_uncertainty_score":0.9993672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395256355306006,"score_gpt":0.3331059401843565,"score_spread":0.1935803046537559,"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."}}