{"id":"W3131209981","doi":"10.1287/opre.2020.2079","title":"Duopoly Competition with Network Effects in Discrete Choice Models","year":2021,"lang":"en","type":"article","venue":"Operations Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Duopoly; Competitor analysis; Market power; Competition (biology); Industrial organization; Market share; Microeconomics; Business; Market structure; Relevant market; Economics; Unit (ring theory); Marketing; Cournot competition; Monopoly","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003132063,0.00006887774,0.0000986032,0.0001239301,0.0002754903,0.001623616,0.0001027092,0.00003199709,0.0001087564],"category_scores_gemma":[0.00006658444,0.00005882791,0.00001833435,0.000641857,0.00004272525,0.004241597,0.0001249074,0.0001710545,0.0002560178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013214,"about_ca_system_score_gemma":0.00005398315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294751,"about_ca_topic_score_gemma":0.01787626,"domain_scores_codex":[0.9992156,0.000004952791,0.000122021,0.0001945391,0.000165692,0.0002972033],"domain_scores_gemma":[0.9996029,0.00006367161,0.000009552416,0.000169842,0.0001412191,0.00001283083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001644856,0.00006172368,0.002239529,0.00004935241,0.000009565633,0.00002543045,0.00001615531,0.3098922,0.0000567344,0.685447,0.0008124908,0.00137333],"study_design_scores_gemma":[0.0008086753,0.0000250003,0.005537132,0.0001772274,0.000005520174,0.000003061124,0.0003890258,0.9438366,0.0000518394,0.03752316,0.01141681,0.0002259313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637927,0.00005580122,0.00185472,0.0006249023,0.00007307799,0.0002441704,0.000001185545,0.00002271408,0.1333307],"genre_scores_gemma":[0.9965516,0.000009969622,0.0005227831,0.0003160588,0.0004673326,0.00005844972,0.0001393259,0.00001459444,0.001919859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6479239,"threshold_uncertainty_score":0.9994128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463207155438962,"score_gpt":0.2892283464822381,"score_spread":0.2429076309383419,"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."}}