{"id":"W3122606457","doi":"10.1287/mnsc.2016.2675","title":"The impact of consumer multi-homing on advertising markets and media competition","year":2018,"lang":"en","type":"article","venue":"IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inefficiency; Advertising; Business; Competition (biology); Incentive; Market share; Marketing; Economics; 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":[0.002395907,0.0007827709,0.001218406,0.001068173,0.001654749,0.004179554,0.002019248,0.003718314,0.01561078],"category_scores_gemma":[0.008804069,0.0007344343,0.001160804,0.001109402,0.002885895,0.006031607,0.002385726,0.002442166,0.001084051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002936035,"about_ca_system_score_gemma":0.001384974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008347371,"about_ca_topic_score_gemma":0.005167675,"domain_scores_codex":[0.9986658,0.0005450299,0.00002866223,0.0002242754,0.0001504669,0.000385661],"domain_scores_gemma":[0.9925605,0.004800761,0.001079412,0.0003694839,0.0003673621,0.0008224181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004429903,0.0005181122,0.008488489,0.0001523408,0.0000895124,0.001657618,0.000604808,0.2527946,0.002533328,0.7103545,0.004151563,0.01821218],"study_design_scores_gemma":[0.0003062534,0.0003964477,0.004327131,0.00003751984,0.00009647465,0.0006355122,0.0005221758,0.6878958,0.0005286564,0.3007004,0.004449418,0.0001041678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766702,0.001313386,0.1532649,0.009643408,0.0001620713,0.0002702677,0.0006822696,0.0002887881,0.1577047],"genre_scores_gemma":[0.9838298,0.0002756488,0.003873861,0.0002849445,0.00007005892,0.00007069357,0.00004246154,0.00001773598,0.01153483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561078,"threshold_uncertainty_score":0.05222327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891185565726822,"score_gpt":0.3069854737350886,"score_spread":0.2480736180778203,"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."}}