{"id":"W4200013115","doi":"10.1016/j.jretconser.2021.102836","title":"Posted price and name-your-own-price in a product line design problem","year":2021,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Quality (philosophy); Product (mathematics); Business; Microeconomics; Product line; Preference; Industrial organization; Value (mathematics); Price discrimination; Product differentiation; Marketing; Variable (mathematics); Economics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009453451,0.002531069,0.006000239,0.002247607,0.003551986,0.006104944,0.005541804,0.01592712,0.03239583],"category_scores_gemma":[0.06231756,0.003767414,0.003205607,0.002823595,0.004576362,0.01619087,0.003584369,0.005869805,0.00203809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220748,"about_ca_system_score_gemma":0.003404855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006115461,"about_ca_topic_score_gemma":0.003956984,"domain_scores_codex":[0.9947308,0.002880221,0.0002409025,0.0009886358,0.0005716645,0.0005877119],"domain_scores_gemma":[0.8924698,0.0966256,0.002711542,0.002711524,0.002423291,0.003058248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001802058,0.002967721,0.005799772,0.001335105,0.0004433951,0.001827769,0.000884767,0.5394894,0.00157423,0.2894114,0.06988929,0.08457498],"study_design_scores_gemma":[0.000590856,0.0003861357,0.0005075958,0.00009076785,0.0001534298,0.0002554687,0.0002171338,0.7957578,0.0004485711,0.1989707,0.002544435,0.00007702928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2908148,0.001864882,0.6070722,0.02475284,0.0009720784,0.001205729,0.002182322,0.001074638,0.07006042],"genre_scores_gemma":[0.7965646,0.001155975,0.1490806,0.001744903,0.001221313,0.0006616507,0.001741591,0.0007437315,0.04708563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03239583,"threshold_uncertainty_score":0.1083749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521200439500248,"score_gpt":0.2308597114030127,"score_spread":0.2056477070080102,"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."}}