{"id":"W2154576508","doi":"10.1016/j.ijresmar.2013.08.002","title":"Consumer response to uncertain promotions: An empirical analysis of conditional rebates","year":2013,"lang":"en","type":"article","venue":"International Journal of Research in Marketing","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Universidad Carlos III de Madrid; Dartmouth College","keywords":"Event (particle physics); Receipt; Conditional probability; Conjoint analysis; Econometrics; Economics; Risk aversion (psychology); Marketing; Advertising; Microeconomics; Actuarial science; Business; Preference; Expected utility hypothesis; Statistics; Financial economics; Mathematics","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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05332181,0.0001008929,0.0004077478,0.006126932,0.00008256602,0.0004906722,0.001665341,0.00007901667,0.002553665],"category_scores_gemma":[0.04872538,0.000077115,0.0002302456,0.00252143,0.0002234201,0.0007710477,0.0002650451,0.0004647652,0.0001038088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937961,"about_ca_system_score_gemma":0.0003919484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095055,"about_ca_topic_score_gemma":0.00006524241,"domain_scores_codex":[0.9908527,0.003317966,0.001699114,0.0003306153,0.003516528,0.000283078],"domain_scores_gemma":[0.9732395,0.01918984,0.0005901456,0.0003217763,0.006396584,0.0002621855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004029961,0.0007153472,0.6856995,0.000003280073,0.0004071661,0.0002541089,0.0009221465,0.0106266,0.005140016,0.00009866789,0.01064477,0.2814584],"study_design_scores_gemma":[0.0006441859,0.0003645883,0.9266979,0.000232188,0.00003206493,0.00007707377,0.003323702,0.01926724,0.0002055232,0.04370116,0.005302134,0.0001522382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915589,0.00003567453,0.0005663602,0.007045818,0.0002540592,0.0001408816,0.00004276287,0.000004071053,0.0003514784],"genre_scores_gemma":[0.9938307,0.00001306181,0.005742396,0.0001128049,0.00009876163,0.00001058528,0.000006345241,0.000007657713,0.000177642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813062,"threshold_uncertainty_score":0.9983581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3538285660671595,"score_gpt":0.5903400542026845,"score_spread":0.2365114881355251,"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."}}