{"id":"W4283748628","doi":"10.17093/alphanumeric.934795","title":"Financial Stability and Creating Financial Stability Index for Turkey","year":2022,"lang":"en","type":"article","venue":"Alphanumeric Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Logistic regression; Stability (learning theory); Financial stability; Variables; Variable (mathematics); Regression analysis; Finance; Quarter (Canadian coin); Financial analysis; Econometrics; Mathematics; Statistics; Economics; Computer science; Financial system; Geography","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004050113,0.0002463618,0.0005655624,0.000204564,0.001727305,0.0001531399,0.0003710969,0.00009632089,0.001721516],"category_scores_gemma":[0.002266469,0.0002967767,0.0002280207,0.0005388948,0.0001888445,0.0003791979,0.0002284083,0.0005881576,0.000006504678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474779,"about_ca_system_score_gemma":0.0002955937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002281986,"about_ca_topic_score_gemma":0.00003308338,"domain_scores_codex":[0.9972455,0.0001231023,0.001184001,0.0006818964,0.0001626365,0.0006028494],"domain_scores_gemma":[0.9981986,0.0003288542,0.0007963802,0.0004086644,0.0001354329,0.0001320287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003488594,0.0008749837,0.9201304,0.0001387986,0.00004964593,0.000004952637,0.00603893,0.001295189,0.0002629863,0.0545948,0.001009768,0.01525064],"study_design_scores_gemma":[0.002148621,0.0006352292,0.7059172,0.00001095049,0.00002169658,0.0001180639,0.0005036294,0.01465714,0.000153537,0.2490398,0.02612337,0.0006707137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650315,0.002040316,0.02946974,0.0004731911,0.001260974,0.0005410322,0.0003441203,0.0000418207,0.000797303],"genre_scores_gemma":[0.9973832,0.00003726721,0.00183158,0.0001685847,0.0003773006,0.0000965617,0.00001482956,0.00003039082,0.0000603288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142132,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588025912878971,"score_gpt":0.2317107996905761,"score_spread":0.2058305405617864,"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."}}