{"id":"W2524211569","doi":"10.1111/itor.12467","title":"Incentive mechanisms for price and advertising coordination in dynamic marketing channels","year":2017,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Incentive; Channel coordination; Business; Product (mathematics); Channel (broadcasting); Goodwill; Sequential game; Microeconomics; Marketing; Advertising; Industrial organization; Economics; Game theory; Supply chain; Supply chain management; Finance; Computer science; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00242537,0.00007319995,0.0001412038,0.0007796707,0.0004525543,0.000328149,0.0002610908,0.00005903624,0.0009370898],"category_scores_gemma":[0.0005902503,0.00009285648,0.00004882563,0.0001597215,0.00006872472,0.0005961462,0.00002401479,0.0002079509,0.00002564026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182102,"about_ca_system_score_gemma":0.00003942162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003672125,"about_ca_topic_score_gemma":0.0006612171,"domain_scores_codex":[0.9989036,0.00005239107,0.0003872469,0.0003285486,0.000139462,0.0001887411],"domain_scores_gemma":[0.9992598,0.0002651681,0.0000852159,0.0001377935,0.0002142553,0.00003776442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003001778,0.000392729,0.02012624,0.00005531401,0.0001349577,0.000008379347,0.0008154485,0.009943448,0.001039681,0.9537684,0.00007708125,0.0133382],"study_design_scores_gemma":[0.001501057,0.00003500255,0.1209586,0.0001062837,0.000002294509,0.000003827379,0.0003573555,0.7660778,0.0002074662,0.1054494,0.005089005,0.0002119051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071237,0.0002516408,0.8436953,0.02076154,0.00096135,0.0007126922,0.0002366455,0.00001566135,0.02624147],"genre_scores_gemma":[0.9920419,0.0001657622,0.002802293,0.00004858167,0.00003664603,0.0002160999,0.00003356294,0.000009847225,0.004645311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8849182,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617840374927791,"score_gpt":0.3642814969685615,"score_spread":0.2981030932192836,"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."}}