{"id":"W2999108381","doi":"10.2139/ssrn.389666","title":"Managerial and Customer Costs of Price Adjustment: Direct Evidence from Industrial Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Business; Negotiation; Revenue; Industrial organization; Fixed cost; Variable cost; Microeconomics; Margin (machine learning); Marketing; Economics; Finance; Computer science","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":[0.00161159,0.0002521978,0.0003353602,0.001099693,0.0006848071,0.002489582,0.0008124061,0.001659212,0.01335583],"category_scores_gemma":[0.02360941,0.0003561119,0.0003846986,0.00145615,0.0009058495,0.002062575,0.0005920209,0.001593125,0.0008792388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285688,"about_ca_system_score_gemma":0.0005387579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006162163,"about_ca_topic_score_gemma":0.007223635,"domain_scores_codex":[0.9991986,0.0003158264,0.0000348775,0.00005721935,0.0002499189,0.0001435973],"domain_scores_gemma":[0.9610618,0.02563814,0.009000258,0.001627051,0.001532133,0.001140606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008998415,0.007396644,0.8346432,0.0003125706,0.0003913296,0.001199175,0.002066371,0.008312837,0.003096673,0.02030693,0.006765434,0.1065104],"study_design_scores_gemma":[0.0003458313,0.0006862922,0.9808353,0.00002355942,0.0001588126,0.0003406243,0.001459614,0.004506198,0.0006841847,0.007910052,0.003006218,0.00004331634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880878,0.0006147264,0.0001622886,0.000556963,0.000008690135,0.0000140822,0.0001128533,0.00001479068,0.0104278],"genre_scores_gemma":[0.9985464,0.0002996157,0.00006667604,0.00009831935,0.00003696443,0.000005123843,0.0001300882,0.000005119955,0.0008116927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335583,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017075975182478,"score_gpt":0.2373370534297857,"score_spread":0.2171662936779609,"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."}}