{"id":"W2741184253","doi":"10.1287/mnsc.1100.1287","title":"Search Engine Advertising: Channel Substitution When Pricing Ads to Context","year":2011,"lang":"en","type":"article","venue":"Management Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Advertising; Online advertising; Search advertising; Business; Context (archaeology); Exploit; Channel (broadcasting); Substitution (logic); Native advertising; Advertising campaign; Contextual advertising; Display advertising; Informative advertising; Marketing channel; Marketing; The Internet; Computer science; World Wide Web; Telecommunications; Computer security","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":[0.002850663,0.0003896709,0.0007563867,0.002344249,0.000621293,0.002537172,0.0006289902,0.0007539198,0.00552468],"category_scores_gemma":[0.02081852,0.0003134237,0.000988483,0.003379571,0.000898387,0.001886808,0.0009778771,0.001048047,0.00098905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070809,"about_ca_system_score_gemma":0.0004593683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006347752,"about_ca_topic_score_gemma":0.008702902,"domain_scores_codex":[0.9973485,0.00119231,0.0001839474,0.0004150054,0.0005960621,0.00026419],"domain_scores_gemma":[0.9673002,0.02548872,0.003189447,0.00196963,0.001560217,0.0004918833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008207329,0.0004720981,0.95044,0.0001443416,0.000329671,0.0002724148,0.001104793,0.001753972,0.002877706,0.004892623,0.0009011882,0.03599053],"study_design_scores_gemma":[0.00004095405,0.0003430679,0.9561725,0.00004847563,0.0005276641,0.0008180108,0.002204551,0.02747321,0.003194659,0.005988386,0.00311624,0.00007229898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915354,0.0003164391,0.001803074,0.0001662578,0.00001279827,0.00004280757,0.0004593787,0.00001916388,0.00564463],"genre_scores_gemma":[0.997318,0.0001152352,0.001032636,0.00004588841,0.00001565171,0.00002937289,0.0003861449,0.00001369877,0.001043279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006347752,"threshold_uncertainty_score":0.01848197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767229614317822,"score_gpt":0.2508611125833126,"score_spread":0.2031888164401343,"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."}}