{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008335817,0.00007146635,0.00009742549,0.0000923222,0.0001345512,0.0001357932,0.0001181389,0.00003230837,0.0002464882],"category_scores_gemma":[0.000006998978,0.00008885228,0.00003357265,0.00009789319,0.00003727998,0.009601104,0.00006464364,0.0000550457,0.000182856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002099168,"about_ca_system_score_gemma":0.000009419482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002945075,"about_ca_topic_score_gemma":0.00150418,"domain_scores_codex":[0.9996097,5.023111e-7,0.0000845947,0.00009216526,0.0000581852,0.0001548419],"domain_scores_gemma":[0.9998051,0.00001388614,0.00008197721,0.00007562521,0.00001360195,0.00000984543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001479849,0.0005303826,0.005166547,0.001200706,0.0004118103,0.00002797326,0.1151763,0.009232424,0.004596339,0.1664349,0.0002332627,0.6955095],"study_design_scores_gemma":[0.004680425,0.0002600061,0.01109484,0.000607282,0.0002515091,0.00003294748,0.5412076,0.238539,0.001221351,0.0101354,0.1900665,0.001903152],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887331,0.0001215957,0.0002926471,0.00003184125,0.00002739193,0.00007375872,4.57685e-7,0.00003344035,0.01068576],"genre_scores_gemma":[0.9994344,0.00008037996,0.0001386984,0.0002131171,0.00004110684,8.254175e-8,0.0000100975,0.000003996194,0.00007810546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6936063,"threshold_uncertainty_score":0.6960569,"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."}}