{"id":"W4396237236","doi":"10.1257/mic.20200347","title":"Variety-Based Congestion in Online Markets: Evidence from Mobile Apps","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Agence Nationale de la Recherche; Government of Ontario","keywords":"Variety (cybernetics); Mobile apps; Business; Computer science; Internet privacy; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002548229,0.0004044335,0.0004675261,0.001321171,0.001008772,0.00241721,0.0007093881,0.001130742,0.01677761],"category_scores_gemma":[0.02350596,0.0004087743,0.0006738154,0.001535148,0.002600245,0.004465223,0.001883462,0.0016917,0.0009390568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008244617,"about_ca_system_score_gemma":0.0003997971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007961136,"about_ca_topic_score_gemma":0.00605083,"domain_scores_codex":[0.9986142,0.0006517401,0.00006323481,0.000205749,0.0003223353,0.0001427279],"domain_scores_gemma":[0.9642713,0.02242177,0.009082944,0.001588044,0.001488265,0.001147675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01125963,0.0128283,0.7348252,0.002677641,0.001452158,0.001723162,0.006165543,0.007189072,0.001930165,0.03668128,0.02635875,0.1569091],"study_design_scores_gemma":[0.001076401,0.002072824,0.9472516,0.0003553043,0.0004525911,0.0003370834,0.004139748,0.00695598,0.0009036077,0.02129285,0.01503501,0.0001269941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725805,0.002614415,0.0009204478,0.001446282,0.00006329551,0.0001350175,0.0006149846,0.00003208196,0.02159306],"genre_scores_gemma":[0.9971519,0.0008864956,0.0001493913,0.0003609704,0.00008611763,0.00003323428,0.0002466541,0.00001156305,0.001073799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677761,"threshold_uncertainty_score":0.05612665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606762755090037,"score_gpt":0.254763906322454,"score_spread":0.2386962787715536,"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."}}