{"id":"W3124684010","doi":"","title":"Structural Analysis of Nonlinear Pricing","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Nonlinear pricing; Nonparametric statistics; Estimator; Econometrics; Identification (biology); Quantile; Tariff; Nonlinear system; Inverse demand function; Computer science; Phone; Consumption (sociology); Pricing strategies; Economics; Mathematical optimization; Mathematics; Microeconomics; Statistics; Demand curve","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":[0.002470231,0.000506983,0.0007850137,0.001451774,0.0007603767,0.001513761,0.001459076,0.001004576,0.008455096],"category_scores_gemma":[0.01802618,0.0004260714,0.001228786,0.00154683,0.001851466,0.002543919,0.002177985,0.002032103,0.0006874881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800968,"about_ca_system_score_gemma":0.001178861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519155,"about_ca_topic_score_gemma":0.003241811,"domain_scores_codex":[0.9984133,0.0007634929,0.00005032627,0.0002336501,0.0003862742,0.0001529106],"domain_scores_gemma":[0.9895027,0.006504574,0.001543746,0.00147246,0.0007347971,0.0002418567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001495397,0.00005163355,0.003063043,0.00004631721,0.00003318692,0.00008607114,0.0002087815,0.06127807,0.0006207405,0.9231138,0.0009048442,0.01057864],"study_design_scores_gemma":[0.000008717177,0.00002083014,0.001408007,0.00001274596,0.000007647888,0.00004138437,0.00006842273,0.4630827,0.0001867156,0.5332663,0.001882663,0.00001381101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06143932,0.000193674,0.9249402,0.001422648,0.00003975004,0.00007137369,0.0005003799,0.00012211,0.01127053],"genre_scores_gemma":[0.9043091,0.000596395,0.08427139,0.0002480377,0.000240298,0.0002926359,0.000732434,0.0001066411,0.009203069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008455096,"threshold_uncertainty_score":0.02828515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480504443196926,"score_gpt":0.3078915920994151,"score_spread":0.2730865476674458,"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."}}