{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003442533,0.001164004,0.001064578,0.0009342809,0.0007060543,0.00354497,0.002914289,0.002221604,0.01635931],"category_scores_gemma":[0.009196131,0.0008744281,0.0009377528,0.001023038,0.001679121,0.003992079,0.002105204,0.001880791,0.003019831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182844,"about_ca_system_score_gemma":0.001668827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008458876,"about_ca_topic_score_gemma":0.000815465,"domain_scores_codex":[0.9964125,0.001528112,0.0001414781,0.0005385863,0.0009838316,0.0003955209],"domain_scores_gemma":[0.9972296,0.001203227,0.0003024225,0.0005989131,0.0004728846,0.000192851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004371857,0.0003421184,0.001347119,0.0004248385,0.00006997238,0.0002969198,0.0002360815,0.2581111,0.009730475,0.5773354,0.006339723,0.1453291],"study_design_scores_gemma":[0.0001111852,0.0003458121,0.000403814,0.0001104346,0.00004363442,0.0003699807,0.00009133122,0.8044127,0.005578977,0.1642413,0.02422715,0.00006370033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01413888,0.0004787141,0.9578722,0.0004083435,0.0001126827,0.0004436054,0.00009026696,0.0005196382,0.02593565],"genre_scores_gemma":[0.5180291,0.001013679,0.4519932,0.0005213603,0.000129837,0.001002541,0.0002196656,0.0003246738,0.02676604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01635931,"threshold_uncertainty_score":0.05472732,"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."}}