{"id":"W3122855877","doi":"","title":"The Inverse Cournot Effect in Royalty Negotiations with Complementary Patents","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Toulouse School of Economics; University of Toronto","keywords":"Cournot competition; Downstream (manufacturing); License; Portfolio; Negotiation; Industrial organization; Competition (biology); Economics; Intellectual property; Inverse; Microeconomics; Business; Computer science; Mathematics; Financial economics; Law; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004570865,0.000772285,0.001584382,0.0008951447,0.001562994,0.004424751,0.001099082,0.002794964,0.01371103],"category_scores_gemma":[0.02745949,0.0005967174,0.001558132,0.0007195268,0.006682629,0.006088939,0.002446903,0.004020156,0.0006935992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945708,"about_ca_system_score_gemma":0.001353312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249434,"about_ca_topic_score_gemma":0.001495094,"domain_scores_codex":[0.9960051,0.00145601,0.0001531268,0.0006929137,0.0009649078,0.0007279173],"domain_scores_gemma":[0.9735653,0.01917933,0.004164024,0.001468336,0.0006724361,0.0009505578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001408307,0.00006563899,0.001169248,0.0001260757,0.00006199694,0.0006354519,0.0003026082,0.04430287,0.0024191,0.9410185,0.0009371632,0.008820441],"study_design_scores_gemma":[0.00009173409,0.0001395827,0.001801041,0.00004119382,0.0000658173,0.0002230552,0.0001067922,0.06738926,0.001121973,0.9260378,0.002900094,0.00008162462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3826578,0.003367642,0.4002401,0.005534871,0.000415881,0.0001747127,0.0002038731,0.0003287208,0.2070765],"genre_scores_gemma":[0.9866729,0.0004911408,0.005546359,0.0004095294,0.000204228,0.00004103562,0.00001951725,0.000026468,0.006588862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01371103,"threshold_uncertainty_score":0.04586798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0944186293923889,"score_gpt":0.2812672181790807,"score_spread":0.1868485887866918,"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."}}