{"id":"W3041758895","doi":"10.5430/ijfr.v11n4p398","title":"The Impact of Political Stability on the Effectiveness of the Early Warning Systems in Predicting the Financial Crises: The Case of Jordan and Qatar","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Financial crisis; Politics; Warning system; Government (linguistics); Early warning system; Economics; Financial system; Business; Finance; Development economics; Macroeconomics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006932638,0.0004149572,0.0004317698,0.001964067,0.0007813981,0.002599968,0.0003819074,0.0006726624,0.001749372],"category_scores_gemma":[0.02228306,0.0002199089,0.0006075245,0.001174174,0.0008928308,0.001598207,0.001072329,0.001355977,0.0002463329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012473,"about_ca_system_score_gemma":0.001911606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02595687,"about_ca_topic_score_gemma":0.02093184,"domain_scores_codex":[0.9974383,0.001791556,0.00008096689,0.0001140963,0.0002152419,0.0003598461],"domain_scores_gemma":[0.9788435,0.01597058,0.002118476,0.0003771181,0.001930222,0.0007602029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006134252,0.0003285466,0.9085811,0.00008622008,0.0002563915,0.001029503,0.001610004,0.06167887,0.0004584241,0.004359729,0.001128348,0.01986933],"study_design_scores_gemma":[0.00008782364,0.0007339288,0.7192528,0.0001320077,0.0002737293,0.000412009,0.01215669,0.2590835,0.001798907,0.003717703,0.002290752,0.00006022363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962485,0.0001650905,0.0004286205,0.0006717475,0.00000854676,0.0000161239,0.00006395787,0.000008543851,0.002388805],"genre_scores_gemma":[0.9994957,0.0000653648,0.0001689161,0.00002298502,0.000009834636,0.000003078314,0.00005920319,0.000001606387,0.0001730901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02595687,"threshold_uncertainty_score":0.05161154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285980832710936,"score_gpt":0.3502142432214286,"score_spread":0.2973544348943192,"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."}}