{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005136128,0.001239062,0.002768546,0.001789255,0.0009354397,0.003143371,0.002463483,0.002476441,0.007118173],"category_scores_gemma":[0.03057175,0.0006264879,0.0007296566,0.003137546,0.00429173,0.007355555,0.002006124,0.003445351,0.001329844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003061633,"about_ca_system_score_gemma":0.001486708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179869,"about_ca_topic_score_gemma":0.002475324,"domain_scores_codex":[0.996418,0.001865327,0.0001264961,0.0006259858,0.000550382,0.00041376],"domain_scores_gemma":[0.976928,0.01871926,0.001743296,0.0007291221,0.001104886,0.000775499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004004199,0.0004929258,0.006274832,0.0005775281,0.000133193,0.0002421522,0.0002903451,0.1686217,0.0003936091,0.6709595,0.01606458,0.1355491],"study_design_scores_gemma":[0.00005388096,0.0001188495,0.001674125,0.00009678237,0.00003048211,0.0001108177,0.00008550745,0.310658,0.00021224,0.6832129,0.003707775,0.00003855035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2361077,0.04137878,0.580619,0.02174221,0.0007903026,0.0003362568,0.001723539,0.0007814772,0.1165206],"genre_scores_gemma":[0.9446806,0.007799764,0.03363027,0.0006353569,0.001188678,0.0001334149,0.0005040352,0.0001083507,0.01131954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007118173,"threshold_uncertainty_score":0.02716279,"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."}}