{"id":"W62092687","doi":"","title":"Pricing and Bundling Electronic Information Goods: Experimental Evidence","year":2000,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Information good; Dimension (graph theory); The Internet; Empirical evidence; Product (mathematics); Publishing; Field (mathematics); Computer science; Business; Marketing; Telecommunications; World Wide Web; Political 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":[0.02043753,0.00106455,0.001051515,0.0007727215,0.0009968338,0.002569223,0.002080867,0.002404502,0.01419914],"category_scores_gemma":[0.08327858,0.0008896891,0.0008051076,0.0009114246,0.003634909,0.004790127,0.001655593,0.002423586,0.001412059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114428,"about_ca_system_score_gemma":0.0008736869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852424,"about_ca_topic_score_gemma":0.001081013,"domain_scores_codex":[0.9908099,0.006226074,0.0005760482,0.000894096,0.001122503,0.0003713374],"domain_scores_gemma":[0.7414124,0.2122137,0.02632472,0.01495121,0.002943679,0.002154281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1050262,0.2099572,0.1441011,0.006662359,0.004389592,0.0007524277,0.004550417,0.03617865,0.02054922,0.1066152,0.01005104,0.3511668],"study_design_scores_gemma":[0.04344503,0.1788444,0.2376236,0.001810305,0.006185728,0.001297624,0.005534507,0.1858749,0.03315625,0.2737027,0.03164313,0.0008820164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830446,0.0007816941,0.004080735,0.0007159242,0.00006031921,0.0004467007,0.0001622127,0.00003858817,0.01066919],"genre_scores_gemma":[0.9902194,0.0009337806,0.005607717,0.0005547113,0.0000859544,0.0004336481,0.0002139688,0.00002335989,0.001927476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043753,"threshold_uncertainty_score":0.1080853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007760472261563386,"score_gpt":0.1602712203986376,"score_spread":0.1525107481370742,"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."}}