{"id":"W4399204012","doi":"10.1080/09614524.2024.2354469","title":"The COVID-19 pandemic and dynamics of livelihood assets in the Kwahu South District of Ghana: determinants and policy implications","year":2024,"lang":"en","type":"article","venue":"Development in Practice","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Livelihood; Pandemic; Development economics; Economic growth; Business; Socioeconomics; Psychological resilience; Social protection; Context (archaeology); Economics; Agriculture; Geography; Coronavirus disease 2019 (COVID-19)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002504771,0.0001184697,0.0002236875,0.0003410175,0.0001008162,0.00008071586,0.0002379107,0.00007992475,0.000003038308],"category_scores_gemma":[0.006153891,0.00009347421,0.0000215733,0.0007117341,0.0000979738,0.0002691248,0.0001235791,0.000223916,0.000005850981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198436,"about_ca_system_score_gemma":0.0005600936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081662,"about_ca_topic_score_gemma":0.001107771,"domain_scores_codex":[0.9986885,0.00007429186,0.0006860471,0.0002705182,0.00005912995,0.0002215755],"domain_scores_gemma":[0.9961858,0.003126992,0.0003625171,0.0002403873,0.00002410845,0.00006019587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002855131,0.00006485304,0.9040734,0.0001611155,0.00004756346,0.000007551053,0.01581187,0.00001023419,0.000005885795,0.05886272,0.00008809944,0.02083817],"study_design_scores_gemma":[0.0005651231,0.00004042571,0.9366791,0.00005948765,0.00002030999,0.0001071732,0.002826993,0.001717251,0.000008198889,0.01170428,0.04605646,0.0002152025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786786,0.003689294,0.001835771,0.01360418,0.00009535898,0.0004946364,0.0001724449,0.00001647933,0.001413186],"genre_scores_gemma":[0.996839,0.001867737,0.0004128297,0.0007606015,0.00001213284,0.00004370907,0.000008698523,0.00001088009,0.00004443618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04715844,"threshold_uncertainty_score":0.7367228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06685341291007671,"score_gpt":0.3412209777680064,"score_spread":0.2743675648579297,"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."}}