{"id":"W2124804420","doi":"10.1016/j.ejor.2007.11.043","title":"A dynamic model for advertising and pricing competition between national and store brands","year":2007,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad","keywords":"Advertising; National brand; Business; Private label; Competition (biology); Revenue; Differential game; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002164388,0.001619246,0.00336573,0.001584721,0.001462839,0.00567919,0.005047126,0.00845606,0.03652972],"category_scores_gemma":[0.006646598,0.001979099,0.002186403,0.00249547,0.00225548,0.00597156,0.002018565,0.004094685,0.003992382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004458168,"about_ca_system_score_gemma":0.003138056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03991522,"about_ca_topic_score_gemma":0.02257324,"domain_scores_codex":[0.9987509,0.0003854975,0.00004793823,0.0003076586,0.0001894085,0.0003184605],"domain_scores_gemma":[0.9969975,0.002074372,0.0002337223,0.0001034777,0.0003434918,0.0002473855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000194632,0.0002658591,0.001037775,0.0001337877,0.0001070518,0.0003928361,0.0001480614,0.7529626,0.0007547839,0.2318043,0.005072149,0.007126224],"study_design_scores_gemma":[0.0001288404,0.00004562907,0.00036531,0.00001260123,0.00005143903,0.00008235437,0.00005599256,0.9588939,0.00006895352,0.03840831,0.001850958,0.00003568542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2582335,0.003157205,0.5636094,0.01691775,0.0007723277,0.0004944849,0.006832321,0.001231089,0.1487521],"genre_scores_gemma":[0.8131522,0.001965522,0.02156331,0.0008873325,0.0003354788,0.0004032443,0.001870885,0.0001986606,0.1596234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03991522,"threshold_uncertainty_score":0.1222041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08476004093805813,"score_gpt":0.3616258474403189,"score_spread":0.2768658065022608,"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."}}