{"id":"W3179596214","doi":"10.1145/3465456.3467610","title":"Revenue Maximization and Learning in Products Ranking","year":2021,"lang":"en","type":"article","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ranking (information retrieval); Business; Revenue; Purchasing; Advertising; Product (mathematics); Order (exchange); Marketing; Web page; Online advertising; E-commerce; The Internet; Computer science; World Wide Web; Information retrieval","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":[0.0002769372,0.00004997825,0.0000676507,0.00008641806,0.00007700794,0.000139392,0.0000252486,0.00001891708,0.0001668354],"category_scores_gemma":[0.0002721436,0.00005205488,0.000008316661,0.0003777,0.000007099883,0.0003603535,0.00007503868,0.0001006923,0.00001310275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004783308,"about_ca_system_score_gemma":0.00001015661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722781,"about_ca_topic_score_gemma":0.0003277773,"domain_scores_codex":[0.999592,0.00001323603,0.00009160025,0.0001482261,0.00006056052,0.00009434303],"domain_scores_gemma":[0.9998249,0.00002030681,0.00003228125,0.00006120526,0.0000589569,0.000002384339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007218051,0.0000152603,0.8728427,0.0001144663,0.000002127694,0.00003052833,0.00007397201,0.00004238111,0.002248786,0.0008774878,0.0002456859,0.1234994],"study_design_scores_gemma":[0.0005910734,0.000001442063,0.9090871,0.0001115446,0.00003414249,0.000008468771,0.0002760584,0.003168809,0.0003645085,0.0005833574,0.08555546,0.0002180451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806424,0.0002314866,0.0001865491,0.001113045,0.0001160473,0.00006452941,7.799878e-8,0.00004778215,0.01759811],"genre_scores_gemma":[0.9968327,0.00002625452,0.0003312525,0.0003104436,0.0001263205,0.00000277562,0.000009789846,0.000007967356,0.002352478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232814,"threshold_uncertainty_score":0.2122736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651826811409658,"score_gpt":0.21563405942052,"score_spread":0.1991157913064234,"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."}}