{"id":"W2070503845","doi":"10.1016/s1058-3300(02)00071-x","title":"The macroeconomic determinants of technology stock price volatility","year":2002,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Economics; Volatility (finance); Stock (firearms); Stock exchange; Profitability index; Financial economics; Cost price; Econometrics; Monetary economics; Stock price; Finance","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":[0.0004814294,0.000107796,0.0002379132,0.0008730253,0.0001089176,0.00118122,0.0001103567,0.000277882,0.001112634],"category_scores_gemma":[0.004966089,0.0001149014,0.0001792369,0.001071693,0.0001721623,0.0004987391,0.0002755554,0.0004221528,0.0001935465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004842103,"about_ca_system_score_gemma":0.0002365317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444686,"about_ca_topic_score_gemma":0.003938201,"domain_scores_codex":[0.9998329,0.00003043652,0.00001734125,0.00002309895,0.00006576263,0.00003051854],"domain_scores_gemma":[0.9959176,0.00147972,0.001897706,0.0001295949,0.0004075037,0.0001679669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008368784,0.00005152771,0.9735014,0.00002345543,0.0001135788,0.0001428825,0.00007809034,0.00767631,0.001189817,0.005430331,0.001156684,0.01055231],"study_design_scores_gemma":[0.000005692246,0.00002807774,0.979959,0.00001121137,0.0000337062,0.00007293138,0.00006857559,0.01476561,0.0006255832,0.003623631,0.0007960534,0.000009969219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942813,0.0005648287,0.0008185897,0.0003376809,0.000008016837,0.000006700899,0.0007979884,0.00001466825,0.003170145],"genre_scores_gemma":[0.9991654,0.0002224095,0.00006230401,0.0000116159,0.00002077277,0.000002111881,0.0003084974,0.000001587827,0.0002053191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004444686,"threshold_uncertainty_score":0.00883764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212923900990891,"score_gpt":0.2326375242967853,"score_spread":0.2113451341976962,"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."}}