{"id":"W2769744753","doi":"10.1007/s12197-017-9418-6","title":"Electrification, the Smoot-Hawley tariff bill and the stock market boom and crash of 1929: evidence from longitudinal data","year":2017,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Tariff; Economics; Electrification; Boom; Stock (firearms); Stock market crash; Stock market; Monetary economics; International economics; Electricity","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":[0.002801806,0.0001494639,0.0005484156,0.00005857911,0.0003921956,0.000325747,0.0009023373,0.00008122447,0.00002682019],"category_scores_gemma":[0.0007161126,0.00009758533,0.00006843886,0.00003500563,0.0005205505,0.0006906944,0.000259326,0.0002630511,6.694772e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428807,"about_ca_system_score_gemma":0.00005068447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000894276,"about_ca_topic_score_gemma":0.000370881,"domain_scores_codex":[0.9985245,0.00003576333,0.0008905811,0.0003572563,0.00002756366,0.0001642944],"domain_scores_gemma":[0.9960898,0.0005347176,0.002173623,0.001080402,0.00007320132,0.00004827802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004364531,0.00004509955,0.935698,0.00003063613,0.0001687132,0.000001857846,0.0002644427,0.00001765169,0.00000713913,0.04947524,0.001557092,0.01229761],"study_design_scores_gemma":[0.0008765155,0.0000554577,0.7724305,0.00004488487,0.00003023873,0.00001691891,0.00001795072,0.1293904,0.000004914019,0.08160207,0.01540589,0.0001242415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742656,0.0170178,0.0005645316,0.006647319,0.000252419,0.0001798,0.0003403506,0.000001260812,0.0007309275],"genre_scores_gemma":[0.9082072,0.09083729,0.0005659429,0.00007361373,0.0001201318,0.000002705284,0.000002688961,0.000009804726,0.0001805507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1632675,"threshold_uncertainty_score":0.3979414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07603967914087909,"score_gpt":0.2552480839237636,"score_spread":0.1792084047828846,"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."}}