{"id":"W438672302","doi":"","title":"Advertising response models with managerial impact: an agenda for the future: Research Articles","year":2005,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Advertising research; Advertising; Marketing; Product (mathematics); Duration (music); Online advertising; Productivity; Stability (learning theory); Business; Economics; Computer science; The Internet","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":[0.001861141,0.0002795932,0.0002699145,0.0003914011,0.0006233877,0.0005346313,0.0003235875,0.0002521868,0.00005346921],"category_scores_gemma":[0.00004591568,0.0001939267,0.00003447322,0.001024108,0.0001949404,0.001518325,0.0002072839,0.0006200654,0.000003161718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005939001,"about_ca_system_score_gemma":0.00009477046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006798087,"about_ca_topic_score_gemma":0.0004610295,"domain_scores_codex":[0.9981148,0.0000311221,0.0003239371,0.0004934973,0.0004057276,0.0006309733],"domain_scores_gemma":[0.9988144,0.000367069,0.0001038579,0.0004226488,0.0002545503,0.00003746345],"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":[0.01099377,0.0002707694,0.0004588594,0.0001349929,0.00005490222,0.00001526855,0.0008557103,0.5391937,0.0009692832,0.05262138,0.0006530699,0.3937783],"study_design_scores_gemma":[0.003903668,0.00003837833,0.02464693,0.0001774268,0.0001572445,0.00001598006,0.003049628,0.9452814,0.00001844516,0.02032235,0.001713748,0.0006748478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976167,0.0003179102,0.09827617,0.001872297,0.0001453139,0.0009707659,0.000007083238,0.00006544312,0.0007282583],"genre_scores_gemma":[0.9972761,0.00001388791,0.0005793037,0.0003437215,0.001401487,0.0002660899,0.00001201176,0.00005618388,0.00005125672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4060877,"threshold_uncertainty_score":0.7908101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07197662428308188,"score_gpt":0.3122676388500282,"score_spread":0.2402910145669463,"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."}}