{"id":"W3124970311","doi":"10.1287/mnsc.2020.3748","title":"Loot Box Pricing and Design","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Revenue; Valuation (finance); Revenue management; Asymptotically optimal algorithm; Computer science; Microeconomics; Economic surplus; Business; Economics; Marketing; Finance; Algorithm","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":[0.0007207416,0.0001234356,0.0001055487,0.0002180301,0.0003819354,0.0006407868,0.0004009102,0.00001333858,0.000127579],"category_scores_gemma":[0.00006287565,0.000115484,0.00002072366,0.001280862,0.0001731665,0.001207828,0.0006799857,0.00006973695,0.0001568961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001267973,"about_ca_system_score_gemma":0.000007523029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004670735,"about_ca_topic_score_gemma":0.000002086198,"domain_scores_codex":[0.9987364,0.000005724588,0.0001463011,0.0004340264,0.0003615444,0.0003159701],"domain_scores_gemma":[0.9996743,0.0000208734,0.00007005686,0.0001667939,0.00003739235,0.00003055542],"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":[0.0001135987,0.000102121,0.2284517,0.0008698232,0.00003804758,0.0001965507,0.0006505871,0.0004396061,0.01084299,0.07297876,0.009159815,0.6761564],"study_design_scores_gemma":[0.001982003,0.00005729459,0.6491404,0.0001860967,0.0004316911,0.000006241362,0.001929416,0.1037785,0.001103803,0.003613134,0.2361764,0.001595026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260742,0.0002958206,0.1368819,0.01198444,0.0008331602,0.001728029,6.880066e-7,0.0008441117,0.3213577],"genre_scores_gemma":[0.9925717,0.00001292524,0.002616954,0.004466703,0.0001316564,0.00001032492,5.523633e-7,0.00001026071,0.0001789254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6745614,"threshold_uncertainty_score":0.6179122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020955419451352,"score_gpt":0.2391393990895913,"score_spread":0.1989298448950777,"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."}}