{"id":"W3123513083","doi":"10.1509/jmr.11.0009","title":"Determining Consumers’ Discount Rates with Field Studies","year":2012,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Discounting; Econometrics; Economics; Stochastic discount factor; Context (archaeology); Identification (biology); Tariff; Revenue; Dynamic pricing; Microeconomics; Capital asset pricing model","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":[0.02094254,0.0001460004,0.0002970731,0.000572957,0.0003714874,0.0002883062,0.0002988898,0.0000474996,0.0002934158],"category_scores_gemma":[0.005898939,0.0000999313,0.00007986149,0.0005377507,0.0001402525,0.001328946,0.0002697824,0.0007113513,0.00002794775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005438784,"about_ca_system_score_gemma":0.00006765522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005739951,"about_ca_topic_score_gemma":0.00003504799,"domain_scores_codex":[0.9976749,0.000245171,0.0004205585,0.0001275839,0.0008470973,0.0006846615],"domain_scores_gemma":[0.9941445,0.004276616,0.0003518905,0.0001694379,0.001017009,0.00004055687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007248171,0.0000577372,0.9462539,0.0002180018,0.00009775192,0.00005505884,0.0002697205,9.487392e-7,0.0004004594,0.00005973073,0.004628342,0.04723353],"study_design_scores_gemma":[0.001560141,0.0001343468,0.8832217,0.001999542,0.0002790175,0.0002181266,0.01838804,0.0001220903,0.0004571703,0.000188264,0.09293402,0.0004975114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881933,0.002210582,0.00002948841,0.001087616,0.0004127436,0.0001109179,2.174535e-7,0.00001498815,0.007940092],"genre_scores_gemma":[0.9979705,0.0002053095,0.0002750639,0.0001973356,0.001055576,0.000005188171,4.049682e-7,0.0000238433,0.0002667753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08830568,"threshold_uncertainty_score":0.7258309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453311103689552,"score_gpt":0.4097873475343747,"score_spread":0.2644562371654195,"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."}}