{"id":"W2024105304","doi":"10.1057/rpm.2013.1","title":"Pricing strategy in the presence of reference prices with thresholds","year":2013,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Reference price; Economics; Product (mathematics); Revenue management; Limit price; Microeconomics; Econometrics; Mid price; Price level; Pricing strategies; Pricing schedule; Computer science; Revenue; Monetary economics","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":[0.0009686998,0.0001166937,0.0002084568,0.0002653025,0.00007290026,0.0001723434,0.0003096818,0.00002671827,0.0000283768],"category_scores_gemma":[0.00002981552,0.00007169005,0.000032693,0.0004443042,0.00004378435,0.000762103,0.00009513593,0.0002065053,0.000003424912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009543643,"about_ca_system_score_gemma":0.00001107969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006499441,"about_ca_topic_score_gemma":0.0001061547,"domain_scores_codex":[0.9989858,0.00002615827,0.0003742346,0.0001176747,0.0003222182,0.000173877],"domain_scores_gemma":[0.9990678,0.0001294606,0.0005296603,0.0001685032,0.00009487795,0.000009689978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001413263,0.0002009114,0.5714897,0.001477548,0.0001258267,0.0001907951,0.001281054,0.0004760648,0.0006588154,0.004996356,0.003004094,0.4159575],"study_design_scores_gemma":[0.0007175981,0.00009360936,0.9750967,0.0009085702,0.0002097097,0.0000432416,0.002443022,0.0002655342,0.00002624381,0.002222932,0.01778296,0.0001898814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986192,0.0005817365,0.0002193478,0.0003776368,0.0000568632,0.0002899347,3.549504e-7,0.000004057189,0.01227801],"genre_scores_gemma":[0.9988797,0.0004316804,0.0002838935,0.000194783,0.0000947091,0.000007654954,5.336249e-7,0.000008256312,0.00009882438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4157676,"threshold_uncertainty_score":0.2923436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250525458894549,"score_gpt":0.2443466715261654,"score_spread":0.2192941256367105,"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."}}