{"id":"W2120031631","doi":"10.1016/j.econlet.2009.04.011","title":"Drastic innovations and multiplicity of optimal licensing policies","year":2009,"lang":"en","type":"article","venue":"Economics Letters","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Crete","keywords":"Innovator; Cournot competition; Oligopoly; Microeconomics; Economics; Industrial organization; Incentive; Multiplicity (mathematics); Business; Mathematics; Finance; Entrepreneurship","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":[0.00007501944,0.00007458685,0.0001043225,0.0001405826,0.00008996276,0.00008400681,0.00006632144,0.00002390654,0.00002562977],"category_scores_gemma":[0.00004460744,0.00007352199,0.0000221128,0.0000973488,0.00004587792,0.0003766785,0.00003559967,0.00005792297,0.00003571431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001153316,"about_ca_system_score_gemma":0.000003787105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002132081,"about_ca_topic_score_gemma":0.00001074207,"domain_scores_codex":[0.9995837,0.000002000055,0.0001673749,0.0001048355,0.00002103227,0.0001210828],"domain_scores_gemma":[0.9997756,0.00002202693,0.00009215154,0.00007405973,0.0000316526,0.000004534661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007517806,0.000699221,0.1228038,0.0005752339,0.0004277792,0.00001659553,0.007148176,0.06185115,0.41459,0.2225007,0.05375592,0.1148796],"study_design_scores_gemma":[0.0036619,0.0001323645,0.4388654,0.0002599857,0.0001870787,0.00002269626,0.001034196,0.4616887,0.01327135,0.004846895,0.07400774,0.002021708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916874,0.000006730832,0.0005652942,0.004366098,0.00009382848,0.00006702526,0.000001209997,0.00002075884,0.003191703],"genre_scores_gemma":[0.9842075,0.000003660206,0.000378226,0.01511826,0.0002539027,5.902311e-7,0.000006158705,0.000006138883,0.00002562977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013186,"threshold_uncertainty_score":0.299814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06458250331227558,"score_gpt":0.2042924615226035,"score_spread":0.1397099582103279,"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."}}