{"id":"W1487118835","doi":"10.2139/ssrn.310895","title":"Consumer Value-Maximizing Sweepstakes & Contests: A Theoretical and Experimental Investigation","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Value (mathematics); Microeconomics; Economics; Advertising; Business; Mathematics; Statistics","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":[0.006096744,0.0007745867,0.001163632,0.0008628519,0.001855117,0.004561935,0.001380259,0.002169867,0.02704968],"category_scores_gemma":[0.05006845,0.000943271,0.0004627928,0.0009158961,0.003530796,0.003391044,0.00159453,0.002301038,0.0008313357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582966,"about_ca_system_score_gemma":0.00150833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364567,"about_ca_topic_score_gemma":0.001899271,"domain_scores_codex":[0.9975317,0.001118533,0.0001309437,0.00032638,0.0006013361,0.000291109],"domain_scores_gemma":[0.9200423,0.06704737,0.005308449,0.004792382,0.001021795,0.001787781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05905322,0.05514319,0.07855207,0.001856235,0.0005075617,0.001412985,0.02456422,0.01596119,0.06069526,0.5902124,0.007153144,0.1048885],"study_design_scores_gemma":[0.02199575,0.02436495,0.1733382,0.0003437446,0.001046177,0.002139274,0.01833392,0.2091374,0.02485364,0.5071601,0.01676422,0.0005226403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808097,0.00007900336,0.0009949552,0.0002633139,0.00002927853,0.0001283881,0.00005091596,0.00001535789,0.01762906],"genre_scores_gemma":[0.9965165,0.00005930133,0.0008645297,0.00007168635,0.00002828346,0.00009591742,0.00004415053,0.0000176826,0.002301971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02704968,"threshold_uncertainty_score":0.09049022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056860982958418,"score_gpt":0.2358873849450969,"score_spread":0.2153187751155127,"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."}}