{"id":"W1978847568","doi":"10.1007/s11156-006-7439-x","title":"R&D Progress, stock price volatility, and post-announcement drift: An empirical investigation into biotech firms","year":2006,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Economics; Corporate finance; Stock (firearms); Stock price; Financial economics; Monetary economics; Finance; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009516963,0.0002921093,0.000524482,0.0001160406,0.0002629249,0.000161584,0.0001868776,0.00008397885,0.00001857951],"category_scores_gemma":[0.0002241328,0.0002553281,0.00006728235,0.0007989325,0.0002931863,0.002496638,0.0001512663,0.0001747836,0.00001828943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002622815,"about_ca_system_score_gemma":0.00006007633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104592,"about_ca_topic_score_gemma":0.0003096531,"domain_scores_codex":[0.9980985,0.00002869133,0.0006885444,0.0005325957,0.0003571076,0.0002945649],"domain_scores_gemma":[0.9979743,0.00006643396,0.001102071,0.0002686895,0.0005754429,0.00001304217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000550139,0.0001911597,0.9082032,0.0168006,0.00002157012,0.000005611603,0.0001868508,0.000005703322,0.001669062,0.02688583,0.003232487,0.04274286],"study_design_scores_gemma":[0.0003995264,0.00008521099,0.8563062,0.007470653,0.00007724688,0.000002986743,0.00006003764,0.002241612,0.00006100236,0.003843114,0.1290119,0.0004405314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945303,0.05071674,0.0004249693,0.002596373,0.00007552556,0.0006089099,0.0000179214,0.00004521574,0.0002113324],"genre_scores_gemma":[0.9795856,0.01032727,0.006499185,0.002892631,0.0003242427,0.00006717055,0.0001663686,0.00003374374,0.0001037331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257794,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039740095169658,"score_gpt":0.3112516128857404,"score_spread":0.2708542119340438,"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."}}