{"id":"W1568575425","doi":"","title":"Impact of the Global Financial and Economic Crisis on the Philippines","year":2009,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Machine Tool Engineering Foundation; United Nations Development Programme; Alberta Biodiversity Monitoring Institute","keywords":"Economics; Financial crisis; Recession; Unemployment; Foreign-exchange reserves; Exchange rate; Economic policy; International economics; Monetary economics; Economic growth; Macroeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007581563,0.0007131269,0.001392822,0.0001910984,0.0003886009,0.0001985142,0.001188279,0.0005997375,0.0007739108],"category_scores_gemma":[0.0004935933,0.0005341019,0.001226625,0.0002028896,0.0005665607,0.0001373503,0.0006464142,0.0007333664,0.0003448586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009915344,"about_ca_system_score_gemma":0.0005618779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004311956,"about_ca_topic_score_gemma":0.0007846988,"domain_scores_codex":[0.996808,0.00009230705,0.001423669,0.0009469311,0.00008509488,0.0006440098],"domain_scores_gemma":[0.9965875,0.0002173679,0.001508428,0.001454419,0.00006480648,0.0001675531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002950437,0.00008044899,0.661491,0.00003343986,0.0001343278,0.000001448402,0.0001943211,0.0003353027,7.472939e-7,0.2878985,0.04956739,0.0002336614],"study_design_scores_gemma":[0.0003803501,0.0001739518,0.869997,0.0001041852,0.00004293728,0.0000203291,0.00003970813,0.00008617539,0.00001732185,0.1067399,0.02180234,0.0005958468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461963,0.005754928,0.00001347752,0.003757012,0.003160397,0.0006801604,0.005394088,0.00004334803,0.03500031],"genre_scores_gemma":[0.9968321,0.0009553377,0.00004859986,0.001089853,0.0008090322,0.00004673885,0.00001542497,0.00003380898,0.000169079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208506,"threshold_uncertainty_score":0.999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040863121868356,"score_gpt":0.247801151283213,"score_spread":0.2273925200645295,"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."}}