{"id":"W2951298942","doi":"10.48550/arxiv.1409.0080","title":"Show Me the Money: Dynamic Recommendations for Revenue Maximization","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue; Economics; Maximization; Monetary economics; Microeconomics; Econometrics; Business; Finance","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":[0.0004490105,0.0002327213,0.0002224402,0.0002335524,0.0004253531,0.0002363649,0.0005820415,0.0001640778,0.000172626],"category_scores_gemma":[0.00009547698,0.0002295262,0.0001976721,0.0003464585,0.00005606666,0.000337355,0.0006248056,0.0003176107,0.00007072659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000756624,"about_ca_system_score_gemma":0.0000346017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004660194,"about_ca_topic_score_gemma":0.0006138833,"domain_scores_codex":[0.998975,0.00003905931,0.0001851301,0.0005099919,0.00005399825,0.0002368241],"domain_scores_gemma":[0.9987003,0.0001418961,0.000346615,0.0005983275,0.0001984455,0.0000144093],"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":[0.0009438316,0.0007485744,0.159918,0.003839435,0.001133732,0.00008515249,0.000697497,0.2781597,0.0003958574,0.2748677,0.1518258,0.1273847],"study_design_scores_gemma":[0.0007213587,0.000007048767,0.009208968,0.0001980294,0.001040081,9.889505e-7,0.0002146859,0.8223833,0.000003699907,0.05159775,0.1139871,0.0006370663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5351074,0.0001049531,0.4433684,0.007607566,0.003598397,0.002414322,0.0001836552,0.0004518751,0.007163433],"genre_scores_gemma":[0.995249,0.00007809385,0.0001785701,0.0004976809,0.000286546,0.000008553865,0.0004034818,0.00003781364,0.003260226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5442236,"threshold_uncertainty_score":0.9359809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701570568855892,"score_gpt":0.2056985107250095,"score_spread":0.1355414538394203,"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."}}