{"id":"W4213008624","doi":"10.2139/ssrn.4032247","title":"Component Pricing with Bundle Size Discount","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bundle; Component (thermodynamics); Mathematical optimization; Profit (economics); Pricing strategies; Computer science; Economics; Mathematics; Microeconomics","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":[0.002817835,0.001168331,0.001991235,0.001062911,0.0007965322,0.004169413,0.002341661,0.002358079,0.0230198],"category_scores_gemma":[0.01103391,0.001103057,0.001519114,0.002217561,0.001195308,0.006310076,0.001825868,0.003056789,0.003528116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362697,"about_ca_system_score_gemma":0.0009720432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335877,"about_ca_topic_score_gemma":0.001681962,"domain_scores_codex":[0.9980624,0.0006499481,0.00007818445,0.0003306489,0.0005262813,0.0003525705],"domain_scores_gemma":[0.9959215,0.001720633,0.0001953523,0.001290153,0.000553293,0.0003191026],"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":[0.0006238305,0.0002583396,0.00106278,0.0001296594,0.00008457011,0.0004106217,0.0001398969,0.1353891,0.002700781,0.7625788,0.009642657,0.08697891],"study_design_scores_gemma":[0.00006896051,0.00008305955,0.0005564017,0.00001513249,0.00006347103,0.0002324853,0.00002692271,0.7118793,0.0008621352,0.2822026,0.003970229,0.00003925353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05503766,0.0004380553,0.8958556,0.0009020258,0.0003454474,0.0001635931,0.0002358665,0.001347502,0.04567421],"genre_scores_gemma":[0.8482767,0.0004282675,0.0904481,0.0001402105,0.0003849079,0.00008410044,0.000265168,0.0005051619,0.05946742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0230198,"threshold_uncertainty_score":0.07700884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062469888627891,"score_gpt":0.1715245884241588,"score_spread":0.1654621185355309,"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."}}