{"id":"W7126252937","doi":"10.5281/zenodo.18433944","title":"From Policy Design to Delivery Failure: Unpacking Implementation Challenges in Georgia's COVID-19 Economic Relief Program.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Socioeconomic and Political Dynamics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Corporate governance; Beneficiary; Scholarship; Policy analysis; Scope (computer science); Unpacking; Best practice; Resource (disambiguation); Qualitative research","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":[0.1031782,0.0006083832,0.0006090611,0.00224922,0.01491384,0.01540263,0.004629072,0.005071835,0.0023114],"category_scores_gemma":[0.07555833,0.001037367,0.0004743811,0.002621892,0.02906908,0.009314214,0.01573111,0.00932519,0.0003297583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05891851,"about_ca_system_score_gemma":0.08400933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05472599,"about_ca_topic_score_gemma":0.07963447,"domain_scores_codex":[0.9092996,0.06965854,0.001814566,0.003351127,0.007338612,0.008537583],"domain_scores_gemma":[0.9342651,0.05042944,0.004149209,0.002804482,0.004720468,0.003631405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009717164,0.0002808071,0.02121014,0.0009322737,0.00005399089,0.002333827,0.4746096,0.002790705,0.001300194,0.3673353,0.0148816,0.1141745],"study_design_scores_gemma":[0.00004092216,0.0004037895,0.02510693,0.002823031,0.00006976525,0.000506876,0.7512367,0.004995136,0.001691147,0.06343545,0.1495544,0.0001358758],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169305,0.00279711,0.04439267,0.2539625,0.0005174453,0.0009000735,0.0001634906,0.0002596482,0.08007661],"genre_scores_gemma":[0.9828358,0.0005829923,0.008359227,0.00553626,0.00002454962,0.0003629876,0.00003235242,0.00006380812,0.002201927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031782,"threshold_uncertainty_score":0.5456649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07619053118951312,"score_gpt":0.3102760919516983,"score_spread":0.2340855607621852,"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."}}