{"id":"W2992612774","doi":"","title":"Using Indian Data to Measure the Impact of the Eurozone Debt Crisis Through the Financial Channel","year":2017,"lang":"en","type":"article","venue":"World Economy","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Quarter (Canadian coin); Economics; Sovereign debt; Debt; Portfolio; Financial system; European debt crisis; Debt crisis; Monetary economics; Finance; Business; International economics; Sovereignty; Macroeconomics; Geography; European union","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":[],"consensus_categories":[],"category_scores_codex":[0.0007556375,0.0002254346,0.0004372843,0.00007404414,0.001252192,0.0003279087,0.003137475,0.00006749097,0.0001340221],"category_scores_gemma":[0.0003506911,0.0001341461,0.0002825169,0.0002764625,0.0001974925,0.000494636,0.0009416589,0.0002440469,0.0001702234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102974,"about_ca_system_score_gemma":0.00009255472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007035,"about_ca_topic_score_gemma":0.00583225,"domain_scores_codex":[0.9985116,0.00003406813,0.0005639769,0.0004074381,0.00004349231,0.0004393882],"domain_scores_gemma":[0.9961296,0.00005014005,0.0007212742,0.002987243,0.0000462941,0.00006550391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001005785,0.0002146805,0.1358797,0.00004913158,0.0004171413,0.000005245594,0.01480501,0.005709128,0.00001757547,0.4839123,0.3562744,0.002615134],"study_design_scores_gemma":[0.0004376889,0.00005330943,0.4244277,0.00004256521,0.0000343789,0.000008518763,0.0003550395,0.001035305,0.0000826627,0.05967842,0.5133843,0.0004600385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7500873,0.003639934,0.0009458539,0.04509912,0.00267266,0.001720796,0.002710651,0.00003480218,0.1930889],"genre_scores_gemma":[0.9969353,0.000036573,0.00008262075,0.00202454,0.0005222769,0.00001589373,0.000005743058,0.00002334692,0.0003537046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4242339,"threshold_uncertainty_score":0.9864551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1443704148614257,"score_gpt":0.3126023213441821,"score_spread":0.1682319064827564,"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."}}