{"id":"W2103196404","doi":"10.1108/14757700610646943","title":"R&D strategy and stock price volatility in the biotechnology industry","year":2006,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Diversification (marketing strategy); Economics; Share price; Price discovery; Financial economics; Stock (firearms); Market share; Monetary economics; Econometrics; Business; Marketing; Finance; Stock exchange","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":[0.001256451,0.000149202,0.0002152616,0.00083248,0.0001346322,0.001052066,0.0002597343,0.0004283062,0.001085575],"category_scores_gemma":[0.007085832,0.0001053558,0.0003562256,0.001154091,0.0002932987,0.0005822814,0.0004146524,0.0004723823,0.0002502526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064614,"about_ca_system_score_gemma":0.0004271151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318905,"about_ca_topic_score_gemma":0.002320261,"domain_scores_codex":[0.9993731,0.0001349691,0.00007541001,0.0001173878,0.0002093235,0.00008983868],"domain_scores_gemma":[0.9843249,0.005390305,0.008668942,0.0003860607,0.0004913318,0.0007385066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007665254,0.00006201512,0.9866197,0.00002514082,0.0001251686,0.0001223055,0.00006061246,0.002397566,0.0009066137,0.0006818512,0.0002044883,0.008717901],"study_design_scores_gemma":[0.000004972693,0.00008599737,0.9934363,0.0000116581,0.00003530136,0.0001217222,0.00008029478,0.004662556,0.0005657743,0.0006471681,0.0003408019,0.000007510539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959474,0.001061839,0.000413385,0.0003036203,0.000003880994,0.00000717515,0.0001909841,0.000008353131,0.00206337],"genre_scores_gemma":[0.9994496,0.0001536384,0.00008245729,0.00002519707,0.00001061033,0.000002231671,0.0001049963,0.000001175593,0.0001701548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002318905,"threshold_uncertainty_score":0.006644845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658804858605439,"score_gpt":0.2436689923078149,"score_spread":0.2170809437217605,"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."}}