{"id":"W2743581210","doi":"10.1108/ejm-02-2016-0074","title":"Estimating umbrella-branding spillovers: a retailer perspective","year":2017,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Spillover effect; Complementarity (molecular biology); Marketing; Market share; Business; Advertising; Economics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005646651,0.0007723336,0.001112108,0.001970028,0.0005485443,0.002324626,0.001159453,0.001197349,0.006997342],"category_scores_gemma":[0.01203223,0.0005019017,0.001735064,0.001495284,0.001052517,0.002743279,0.002740097,0.001145883,0.0007536167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184283,"about_ca_system_score_gemma":0.001296734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005711862,"about_ca_topic_score_gemma":0.004728243,"domain_scores_codex":[0.9975538,0.0009812955,0.0001093641,0.0005875845,0.0005286377,0.0002394315],"domain_scores_gemma":[0.9869887,0.008942254,0.001789321,0.001333847,0.0006706719,0.000275295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001297765,0.001187926,0.6389552,0.001253283,0.002475337,0.001080067,0.001740995,0.1264269,0.007883552,0.05064663,0.001014262,0.166038],"study_design_scores_gemma":[0.0001214993,0.002747101,0.5793631,0.0006771822,0.002758144,0.0007673033,0.005274753,0.3021167,0.0160317,0.08246285,0.007429215,0.0002504397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016175,0.001371001,0.07844736,0.0004585791,0.00002984582,0.0003998654,0.0005307232,0.0001383259,0.01700663],"genre_scores_gemma":[0.9862852,0.0003020263,0.01163484,0.00009506074,0.00001978976,0.00006598494,0.0002231412,0.000008267763,0.001365696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006997342,"threshold_uncertainty_score":0.0298627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525601114818742,"score_gpt":0.2677188740318991,"score_spread":0.2324628628837117,"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."}}