{"id":"W2403499083","doi":"10.2139/ssrn.2783096","title":"Advertisinggs Long-Term Impact on Brand Price Elasticity Across Brands and Categories","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Term (time); Business; Elasticity (physics); Economics; Econometrics; Advertising","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":[0.005373481,0.0002209414,0.0002977811,0.0002384206,0.0006858783,0.0004509158,0.0004324572,0.0001005262,0.0003059116],"category_scores_gemma":[0.00190871,0.0001088531,0.0001324278,0.0006014025,0.0001779735,0.0006102241,0.00009719063,0.000810946,0.0001042669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370694,"about_ca_system_score_gemma":0.0007616808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001109414,"about_ca_topic_score_gemma":0.0001693014,"domain_scores_codex":[0.9959578,0.000133812,0.0006535113,0.000367409,0.0009940102,0.001893481],"domain_scores_gemma":[0.9979484,0.0008008508,0.0004222138,0.0002448578,0.0004164189,0.0001672692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007737218,0.00009896378,0.3174817,0.000003210788,0.00009441323,0.00001514231,0.0008170667,0.00001545522,0.004098887,0.029585,0.0003135786,0.6467029],"study_design_scores_gemma":[0.003790346,0.001038525,0.7806238,0.00009912156,0.00001675033,0.001700267,0.0007275363,0.0001568231,0.001128135,0.2097635,0.0005269156,0.0004282962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515917,0.0002964408,0.04599597,0.0008994417,0.0002869892,0.00007919942,0.000007847351,0.00002650617,0.0008158783],"genre_scores_gemma":[0.9954244,0.000329753,0.00001519221,0.0001733395,0.0002422047,0.000001375195,7.608081e-7,0.00001677338,0.00379618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6462746,"threshold_uncertainty_score":0.5275291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217020264761077,"score_gpt":0.3623236282956917,"score_spread":0.3301534256480809,"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."}}