{"id":"W2075836352","doi":"10.1057/rpm.2008.13","title":"Optimal design of a name-your-own price channel","year":2008,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Revenue management; Renting; Profit (economics); Yield management; Business; Microeconomics; Product (mathematics); Function (biology); Channel (broadcasting); The Internet; E-commerce; Advertising; Operations research; Marketing; Economics; Computer science; Revenue; Telecommunications; Mathematics; Finance","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":[0.002013944,0.00005788117,0.0001785709,0.0001806752,0.0001370598,0.00001980119,0.0002435334,0.00002111817,0.0000266124],"category_scores_gemma":[0.0001464814,0.00004276835,0.00006133642,0.0003087017,0.00005887324,0.0001450235,0.00005951776,0.00008765676,0.00001420587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001638636,"about_ca_system_score_gemma":0.00002640245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001761667,"about_ca_topic_score_gemma":6.66975e-8,"domain_scores_codex":[0.9988472,0.00009997471,0.0004489563,0.000101736,0.0004152305,0.00008689997],"domain_scores_gemma":[0.9988377,0.0002038984,0.0006097453,0.0001619553,0.0001359727,0.00005074476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001020307,0.0010544,0.004359434,0.0002161665,0.0008906357,0.000659868,0.04090828,0.1948138,0.003416772,0.02584675,0.1731484,0.5536652],"study_design_scores_gemma":[0.002973808,0.001415361,0.04659471,0.0005297952,0.0003379426,0.002110976,0.005660128,0.004604819,0.003788993,0.1482642,0.7831032,0.0006160762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3532338,0.0008991866,0.6435094,0.0008171393,0.0001757176,0.0001717596,0.000003858782,0.000003855645,0.001185261],"genre_scores_gemma":[0.9800688,0.0008211468,0.01500571,0.00008774411,0.00009577874,0.000002717772,1.1326e-7,0.000004560795,0.0039134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6285037,"threshold_uncertainty_score":0.1744043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275006069546073,"score_gpt":0.3532814918424934,"score_spread":0.2257808848878861,"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."}}