{"id":"W2964261139","doi":"10.1287/mnsc.2016.2675","title":"The Impact of Consumer Multi-homing on Advertising Markets and Media Competition","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Advertising; Inefficiency; Business; Incentive; Competition (biology); Matching (statistics); Market share; Marketing; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002420634,0.0008702227,0.001289965,0.001014486,0.001715408,0.004157952,0.002196876,0.004421601,0.01485091],"category_scores_gemma":[0.008593883,0.0007937911,0.00127473,0.001065892,0.003119457,0.00672225,0.002390006,0.002851075,0.001069148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003098131,"about_ca_system_score_gemma":0.001411991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008936832,"about_ca_topic_score_gemma":0.005339403,"domain_scores_codex":[0.9987659,0.000498141,0.00002548545,0.0002066459,0.0001459967,0.0003578325],"domain_scores_gemma":[0.9932415,0.004428178,0.000900939,0.0003193217,0.0003519653,0.000758005],"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":[0.0003618943,0.0003996424,0.005167155,0.0001358969,0.00007325917,0.001542285,0.0005143131,0.2364627,0.001966905,0.735476,0.003980762,0.01391925],"study_design_scores_gemma":[0.0002660445,0.0003525731,0.002952754,0.00003680976,0.00008280697,0.000552487,0.0004426371,0.6535714,0.0004370311,0.3368937,0.004312873,0.00009889132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6027749,0.001720083,0.1850206,0.01291365,0.0002261455,0.0002792514,0.0006830603,0.0002965982,0.1960858],"genre_scores_gemma":[0.980404,0.0003619976,0.004408236,0.0003686761,0.00008922804,0.00007561984,0.00004182701,0.00002083009,0.01422972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01485091,"threshold_uncertainty_score":0.04968125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518545967675124,"score_gpt":0.228907488563698,"score_spread":0.2137220288869468,"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."}}