{"id":"W2241581038","doi":"10.1287/mnsc.2015.2328","title":"When Retailing and Las Vegas Meet: Probabilistic Free Price Promotions","year":2016,"lang":"en","type":"article","venue":"Management Science","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":"Las vegas; Business; Probabilistic logic; Advertising; Mathematics; Statistics; Geography","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":[0.002007327,0.0002031424,0.0003583989,0.0004800423,0.0004957587,0.001770514,0.0004504274,0.000852702,0.006125677],"category_scores_gemma":[0.01020802,0.0003506376,0.0002725581,0.0002328886,0.0006406148,0.0021933,0.0009858228,0.001032481,0.0004526351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626782,"about_ca_system_score_gemma":0.0002153466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176709,"about_ca_topic_score_gemma":0.003086917,"domain_scores_codex":[0.9986494,0.0006538103,0.00007062558,0.0002014291,0.0003187912,0.0001059409],"domain_scores_gemma":[0.9949143,0.003241553,0.0006947611,0.0005972862,0.0001484534,0.0004035409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02367875,0.01129197,0.5229746,0.001066555,0.001070317,0.00190864,0.0122231,0.01096221,0.06842068,0.0257558,0.008327958,0.3123195],"study_design_scores_gemma":[0.0008338794,0.01274277,0.8626247,0.0002739975,0.0006979168,0.001552972,0.01337682,0.03299866,0.01371134,0.03842613,0.02227242,0.0004884829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873788,0.0001076373,0.001107133,0.0002729642,0.00003626499,0.0000396268,0.00004419419,0.00004647307,0.01096697],"genre_scores_gemma":[0.9978158,0.00004963265,0.000902691,0.00009098064,0.00001045507,0.00002031804,0.00004124934,0.000007482961,0.001061228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006125677,"threshold_uncertainty_score":0.02049249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036761727314163,"score_gpt":0.2261571727204243,"score_spread":0.2057895554472826,"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."}}