{"id":"W1568261145","doi":"10.2139/ssrn.2315270","title":"Market Outcomes and Dynamic Patent Buyouts","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Leveraged buyout; Patent law; Industrial organization; Private equity; Intellectual property; Finance; Law; Political science","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":[0.002558901,0.0002098115,0.0005014921,0.0015284,0.0005225741,0.005286105,0.000514398,0.001965536,0.02303786],"category_scores_gemma":[0.03145054,0.0002042462,0.0003575128,0.001346514,0.0009053375,0.003925737,0.001388803,0.00200459,0.001625346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936533,"about_ca_system_score_gemma":0.0004240171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165679,"about_ca_topic_score_gemma":0.001161097,"domain_scores_codex":[0.999338,0.0001147756,0.00006669072,0.00008915478,0.0001401574,0.000251198],"domain_scores_gemma":[0.958087,0.01890431,0.01620994,0.001299171,0.001225527,0.004274134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004072948,0.002141778,0.9274808,0.0001039599,0.0002881736,0.001909537,0.0009343605,0.003039038,0.003694417,0.02089181,0.00245918,0.03298405],"study_design_scores_gemma":[0.0001644717,0.0006312563,0.9602575,0.00003083848,0.0001159894,0.000524097,0.001201457,0.00334069,0.001061412,0.03105159,0.001565901,0.00005484316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919264,0.0004553905,0.0002011247,0.0008710095,0.00001587758,0.00001006238,0.0003232092,0.00001492278,0.006182066],"genre_scores_gemma":[0.9989256,0.00007635754,0.00001637989,0.00002780023,0.00002843082,0.000003138452,0.0001180642,0.000003840577,0.0008003595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02303786,"threshold_uncertainty_score":0.07706928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366703386998681,"score_gpt":0.2025546779101973,"score_spread":0.1658843392103292,"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."}}