{"id":"W2017842236","doi":"10.1007/s10957-006-9033-8","title":"Dynamic Network-Based Discriminatory Pricing","year":2006,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamic pricing; Nash equilibrium; Computer science; Pricing strategies; Differential (mechanical device); Theory of computation; Microeconomics; Service provider; Scheme (mathematics); Service (business); Mathematical optimization; Economics; Business; Mathematics; Marketing","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":[0.0006234804,0.0000604935,0.0001631023,0.0001521909,0.0001341805,0.00003884359,0.00008065225,0.00003115965,0.0003671265],"category_scores_gemma":[0.00001540906,0.0000620979,0.00007799359,0.000236514,0.00003793998,0.0001118671,0.000008157618,0.00006847706,0.00001074699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380826,"about_ca_system_score_gemma":0.00001211685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002075709,"about_ca_topic_score_gemma":9.8062e-7,"domain_scores_codex":[0.9993021,0.00002823022,0.0004681769,0.00009588908,0.00002630441,0.00007929195],"domain_scores_gemma":[0.999264,0.00006668278,0.0004689764,0.0001030753,0.00005879053,0.00003847573],"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":[0.000006405307,0.00003878283,0.001109334,0.000004968503,0.00001118623,2.173623e-7,0.000009438609,0.4428843,0.000004084744,0.5555967,0.00009465619,0.0002399779],"study_design_scores_gemma":[0.0007576261,0.00004882868,0.006432388,0.00003110602,0.00008645287,0.00001604397,0.000129045,0.2931338,0.00003199403,0.6720271,0.02702259,0.0002830965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001686392,0.001368205,0.9883316,0.0003018164,0.00004214482,0.00006218468,0.00000707259,0.000009250911,0.00819138],"genre_scores_gemma":[0.9809824,0.0001717043,0.01788652,0.0002316183,0.0001146719,0.00001437368,0.0000199683,0.00001019148,0.0005685557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.979296,"threshold_uncertainty_score":0.4019777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007111410002167931,"score_gpt":0.2062178823736059,"score_spread":0.199106472371438,"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."}}