{"id":"W4327635241","doi":"10.58944/tegl4439","title":"Measuring the Effect of Covid-19 on Bank Lending: Empirical Evidence from Albania","year":2021,"lang":"en","type":"article","venue":"Economicus","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); Econometrics; Gross domestic product; Loan; Unemployment; Econometric model; Inflation (cosmology); Actuarial science; Interest rate; Macroeconomics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015791,0.0002506889,0.0006913164,0.0001582099,0.0001516592,0.00009977945,0.0005207839,0.0001478439,0.001747776],"category_scores_gemma":[0.005583161,0.0002298099,0.0002688779,0.0002000226,0.00009846871,0.0002449265,0.0001861239,0.0003012878,0.00144795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008375681,"about_ca_system_score_gemma":0.0002220401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067892,"about_ca_topic_score_gemma":0.0001624411,"domain_scores_codex":[0.9979339,0.0001354254,0.0007867551,0.0007045005,0.00005150759,0.0003878841],"domain_scores_gemma":[0.994759,0.00361434,0.0004795954,0.0008995397,0.00001686187,0.0002306267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002880497,0.00006482942,0.9690188,0.0001470849,0.0003056719,0.00004653331,0.002339095,0.005796834,0.0007616491,0.004887907,0.01467532,0.00166827],"study_design_scores_gemma":[0.007428817,0.001303237,0.4431315,0.0004835275,0.0001615301,0.00006846491,0.0003389624,0.01044096,0.07413235,0.03009074,0.4302515,0.0021684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982611,0.003450166,0.0005407456,0.007225763,0.0008803752,0.000266469,0.0001725323,0.00004954098,0.004803407],"genre_scores_gemma":[0.9967666,0.0002010472,0.00007071638,0.002217916,0.0002682956,0.00002592934,0.0000112063,0.00003451223,0.0004038071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5258873,"threshold_uncertainty_score":0.9993296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693173393467592,"score_gpt":0.3157658446189192,"score_spread":0.14644850527216,"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."}}