{"id":"W4362674139","doi":"10.5089/9798400238673.002","title":"Peru","year":2023,"lang":"en","type":"article","venue":"IMF Staff Country Reports","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Economic recovery; Stimulus (psychology); Political science; Economic policy; Development economics; Political economy; Quarter (Canadian coin); Economics; Geography; Macroeconomics; Psychology","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":[0.0006642679,0.0001479049,0.0003105552,0.000283551,0.0001599188,0.0001110858,0.0001082083,0.0001084999,0.001273345],"category_scores_gemma":[0.0001055449,0.0001812547,0.00005458479,0.0008691906,0.00005193532,0.0004074631,0.00004931088,0.0001035572,0.001930618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008014413,"about_ca_system_score_gemma":0.00005081178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002695119,"about_ca_topic_score_gemma":0.0000315169,"domain_scores_codex":[0.9982893,0.000003111586,0.0008501565,0.00045479,0.00004889822,0.0003537579],"domain_scores_gemma":[0.9989003,0.00002030999,0.0004791929,0.0004682356,0.00007611884,0.00005587764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000010836,0.0001235856,0.7980289,0.0001013533,0.0000964825,0.0005167166,0.0004752925,0.0002448887,0.00004806431,0.04919472,0.1500604,0.001098695],"study_design_scores_gemma":[0.0001592374,0.00002085475,0.1991671,0.00001028404,0.000003357127,0.0001050222,0.00009183833,0.0003777904,0.00003075825,0.02516665,0.7745591,0.0003079735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972081,0.0004111038,0.0003078091,0.000393846,0.002385213,0.0001590334,0.00006824303,0.0002796024,0.09878705],"genre_scores_gemma":[0.991249,0.0001499842,0.00008176889,0.0002493138,0.0003815106,0.00003596562,0.0001674651,0.00003572241,0.007649226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244987,"threshold_uncertainty_score":0.9996396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891682534361847,"score_gpt":0.2208232489264999,"score_spread":0.1919064235828814,"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."}}