{"id":"W3184086592","doi":"10.3982/ecta17674","title":"TV Advertising Effectiveness and Profitability: Generalizable Results From 288 Brands","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Advertising; Margin (machine learning); Schedule; Econometrics; Investment (military); Distribution (mathematics); Economics; Gross margin; Return on investment; Business; Mathematics; Computer science; Microeconomics; Production (economics)","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":[0.0005699577,0.0001599448,0.0002926041,0.0003720652,0.0001927352,0.000427,0.0001104055,0.00006571086,0.000622767],"category_scores_gemma":[0.0006643823,0.0001672633,0.00007148196,0.00123737,0.00003496631,0.0007986201,0.0002523889,0.0001099919,0.0000724732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744421,"about_ca_system_score_gemma":0.00002712709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632321,"about_ca_topic_score_gemma":0.00009077885,"domain_scores_codex":[0.9987712,0.00003643272,0.0003092041,0.0005281387,0.0001008187,0.0002542297],"domain_scores_gemma":[0.9989788,0.0004585033,0.0001175094,0.0003195075,0.0001022331,0.00002344655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001741403,0.0000987658,0.8175578,0.0001626559,0.00006259039,0.00003895663,0.00005258348,0.00002948299,0.000959198,0.0003685154,0.000725429,0.1797699],"study_design_scores_gemma":[0.001564359,0.000005603736,0.9446921,0.00005096773,0.00009288902,0.000002527684,0.00005652814,0.001147099,0.0006256109,0.001090255,0.05037405,0.0002979616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724708,0.001429014,0.000276328,0.0003456832,0.0004286265,0.0001666682,0.00002321473,0.0000856208,0.02477406],"genre_scores_gemma":[0.9986395,0.00004605688,0.0003290844,0.0002831445,0.0003270677,0.00001493318,0.00008910181,0.00002162883,0.0002495373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1794719,"threshold_uncertainty_score":0.6820799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118565695341809,"score_gpt":0.2322784884996071,"score_spread":0.211092831546189,"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."}}