{"id":"W3125510906","doi":"10.2139/ssrn.2346236","title":"Land and Stock Bubbles, Crashes and Exit Strategies In Japan Circa 1990 and in 2013","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Stock (firearms); Business; Geography; Economics; Economic geography; Environmental science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007046889,0.0001373657,0.0003832495,0.0004589914,0.00008961662,0.000269636,0.00008427893,0.00006726534,0.0001243424],"category_scores_gemma":[0.00001458418,0.0001374464,0.00003279847,0.0002303545,0.00005373829,0.0004821187,0.00004569593,0.0005146327,0.00001625184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154798,"about_ca_system_score_gemma":0.00007923519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02099943,"about_ca_topic_score_gemma":0.05539312,"domain_scores_codex":[0.9984121,0.00002142869,0.0004549584,0.0002548671,0.00003042755,0.0008262205],"domain_scores_gemma":[0.999607,0.00003057449,0.0001716049,0.0001031387,0.00001521606,0.0000724862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000118071,0.00002575256,0.8861001,0.00002241839,0.00007430297,0.000001779211,0.0002594216,0.00003687791,0.00001422959,0.1094286,0.00008250883,0.003942227],"study_design_scores_gemma":[0.0008310596,0.0001408145,0.625814,0.0000252779,0.000006367674,0.000132,0.002351107,0.002467645,5.197344e-7,0.3658993,0.002111876,0.0002200341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621083,0.03574358,0.0001349853,0.0006469358,0.00002900102,0.0001204894,0.000004624024,0.000005179502,0.001206899],"genre_scores_gemma":[0.9761757,0.02324804,0.00003049738,0.00002247381,0.00005432268,0.000009229181,0.000001628713,0.0000125655,0.0004455577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260286,"threshold_uncertainty_score":0.9855198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199339632430389,"score_gpt":0.1944139211741867,"score_spread":0.1824205248498829,"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."}}