{"id":"W4253191800","doi":"10.1002/9781119200598.index","title":"Index","year":2012,"lang":"en","type":"paratext","venue":"","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Currency; Cryptocurrency; Foreign exchange market; Computer science; Economics; World Wide Web; Monetary economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993082,0.001136956,0.0008784528,0.003877534,0.001727768,0.007470367,0.001681652,0.001445658,0.7973903],"category_scores_gemma":[0.005004549,0.0003786789,0.000611354,0.004973193,0.0004461159,0.005099339,0.002386949,0.001587296,0.7507524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957593,"about_ca_system_score_gemma":0.002046382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005137922,"about_ca_topic_score_gemma":0.007285493,"domain_scores_codex":[0.9988865,0.00008661087,0.00008280435,0.0001566896,0.0006683237,0.0001189912],"domain_scores_gemma":[0.9976815,0.0001938345,0.00008951758,0.0002795386,0.00135383,0.000401694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001205388,0.00001615589,0.0001396914,0.00006498751,0.000001382178,0.00001489137,0.00002333968,0.0000328772,0.00006263046,0.003649196,0.9431528,0.05282992],"study_design_scores_gemma":[0.000003363634,0.000006708909,0.000297538,0.00005105561,8.529209e-7,0.00002529961,0.00003948075,0.00003836509,0.0000500712,0.001200177,0.9982839,0.000003179126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003704463,0.0009473115,0.001119364,0.002351649,0.003646447,0.0001823333,0.01447214,0.001732382,0.9751779],"genre_scores_gemma":[0.001285824,0.000726903,0.0008169351,0.0006522209,0.0007947594,0.0001027683,0.008641755,0.0005404835,0.9864383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7973903,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508059268287927,"score_gpt":0.2431387361263271,"score_spread":0.2080581434434478,"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."}}