{"id":"W3021551736","doi":"10.1142/9789811285530_0019","title":"Land and stock bubbles, crashes and exit strategies in Japan circa 1990 and in 2013","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Crash; Stock (firearms); Earnings; Stock market crash; Stock market; Stock market bubble; Economics; Financial economics; Earnings yield; Yield (engineering); Bubble; Business; Finance; Geography; Earnings per share; Price–earnings ratio; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093057,0.0002241743,0.0002633382,0.001091648,0.0004120986,0.0009267146,0.0002175436,0.0003025693,0.001138857],"category_scores_gemma":[0.0007604905,0.0000985611,0.0002673276,0.001668496,0.0003530059,0.000876276,0.0006849147,0.0004394524,0.0002590392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839681,"about_ca_system_score_gemma":0.0005654605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08039924,"about_ca_topic_score_gemma":0.105402,"domain_scores_codex":[0.9999344,0.000004153764,0.000006043046,0.00001412862,0.00001656047,0.00002463756],"domain_scores_gemma":[0.9993789,0.00005405432,0.000354493,0.00001200813,0.00008676321,0.0001137015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463839,0.00007689858,0.9666176,0.0001063393,0.00007378533,0.001003161,0.002197554,0.001588852,0.0005210863,0.002083858,0.007567528,0.01801706],"study_design_scores_gemma":[0.000004462951,0.00003261118,0.9917752,0.00003190864,0.0000455155,0.0001664242,0.00190127,0.002585698,0.0001047008,0.0005650023,0.002773299,0.00001402724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930803,0.002469183,0.0001398341,0.0002801959,0.00001573464,0.00000528368,0.00122025,0.000008209679,0.00278099],"genre_scores_gemma":[0.9931772,0.002174152,0.0001323993,0.00004596906,0.00007104905,0.000009611721,0.002531146,0.000008704791,0.001849792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08039924,"threshold_uncertainty_score":0.1598625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698609203618,"score_gpt":0.2093812836945549,"score_spread":0.1823951916583749,"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."}}