{"id":"W1489376162","doi":"","title":"Financial turbulence and the Japanese main bank","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Economics; Quarter (Canadian coin); Arbitrage; Financial economics; Finance; Sample (material); Monetary economics; Business","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":[0.001024779,0.0001823647,0.0003884273,0.000737306,0.0006285608,0.002247061,0.0002013932,0.0005073753,0.002579125],"category_scores_gemma":[0.00622666,0.0002103878,0.0003284171,0.001440195,0.001519303,0.0009584968,0.001383571,0.0009487451,0.0002803133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078312,"about_ca_system_score_gemma":0.0008050623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519698,"about_ca_topic_score_gemma":0.01209909,"domain_scores_codex":[0.9995486,0.00008952924,0.00004208687,0.00006968091,0.00008550537,0.000164537],"domain_scores_gemma":[0.9926858,0.001280057,0.004518344,0.0002508284,0.000427757,0.0008371733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000345167,0.00008884036,0.9797516,0.000029166,0.00007472146,0.0005664764,0.002007613,0.001640366,0.001315563,0.004199176,0.0009637112,0.009017613],"study_design_scores_gemma":[0.000007844013,0.00004900606,0.9949509,0.00001305094,0.00002765071,0.00008784681,0.0009879537,0.001998504,0.000151559,0.001234206,0.0004798293,0.0000116096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967495,0.0003048407,0.0001797548,0.0005160436,0.000008371498,0.000004779608,0.00004577599,0.000006225745,0.002184761],"genre_scores_gemma":[0.9995775,0.0001261339,0.00002227013,0.00005370006,0.000009178704,0.000001360224,0.00003045557,0.000001773538,0.0001777989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519698,"threshold_uncertainty_score":0.03021705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352364210027129,"score_gpt":0.2645488698847703,"score_spread":0.241025227784499,"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."}}