{"id":"W1555152848","doi":"10.3386/w19419","title":"The Impact of the Internet on Advertising Markets for News Media","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Microsoft Research","keywords":"Advertising; Business; The Internet; Online advertising; Computer science; World Wide Web","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":[0.001122626,0.0004175467,0.0005680784,0.0008966181,0.0008606079,0.003949676,0.0007127618,0.001424127,0.02064462],"category_scores_gemma":[0.006907992,0.0003895435,0.0006571255,0.0007039936,0.001368916,0.005072122,0.001101437,0.001479368,0.0008997979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526451,"about_ca_system_score_gemma":0.000729723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535691,"about_ca_topic_score_gemma":0.002748755,"domain_scores_codex":[0.9994919,0.0002162224,0.00001300013,0.00006169975,0.0001076917,0.0001094849],"domain_scores_gemma":[0.9917916,0.006072186,0.001064463,0.0002478035,0.000327894,0.0004960845],"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":[0.001554284,0.002371977,0.03997385,0.0006538644,0.0002380498,0.002226681,0.0008572414,0.1853481,0.01160476,0.6538336,0.01153123,0.08980636],"study_design_scores_gemma":[0.0005333704,0.0008475939,0.03173988,0.0001625271,0.000312294,0.0008271851,0.00187834,0.5033904,0.004402656,0.4379365,0.01783431,0.0001349421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8104486,0.003496853,0.01302783,0.005969971,0.0001128655,0.0001043599,0.0003494962,0.0001083877,0.1663817],"genre_scores_gemma":[0.991042,0.001062651,0.0009533624,0.000323925,0.0001273322,0.00002391916,0.00005952126,0.00001663429,0.006390677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02064462,"threshold_uncertainty_score":0.06906319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2421786683588593,"score_gpt":0.4429186644268611,"score_spread":0.2007399960680018,"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."}}