{"id":"W2731857276","doi":"10.1287/mnsc.2014.2016","title":"Standardization and the Effectiveness of Online Advertising","year":2014,"lang":"en","type":"article","venue":"Management Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Standardization; Automation; Agency (philosophy); Banner; Digital advertising; Computer science; Advertising; Online advertising; Field (mathematics); Competition (biology); Advertising research; World Wide Web; The Internet; Engineering; Business; Sociology","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":[0.0121216,0.0002800288,0.000478197,0.00341725,0.0006091731,0.003769729,0.000589233,0.0007508043,0.002878477],"category_scores_gemma":[0.0953925,0.0002502285,0.0005672784,0.001932915,0.002321576,0.002738274,0.001014645,0.001027336,0.0004388962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009600496,"about_ca_system_score_gemma":0.0005301357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138762,"about_ca_topic_score_gemma":0.0007923111,"domain_scores_codex":[0.986935,0.007249964,0.001363316,0.0006991025,0.003288022,0.0004645542],"domain_scores_gemma":[0.7898397,0.1471833,0.03820324,0.01431482,0.008075668,0.002383205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002048102,0.002687441,0.6962567,0.0003739604,0.0005759641,0.0002138608,0.004910644,0.00434661,0.007626153,0.01962137,0.001295686,0.2600435],"study_design_scores_gemma":[0.00009991098,0.001523239,0.9721051,0.0000955303,0.0002379397,0.0003113807,0.001779338,0.004247697,0.005962653,0.009776996,0.003798203,0.00006211043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687153,0.001223084,0.001052118,0.0003640249,0.00002062514,0.0000565857,0.0000592071,0.00002920044,0.02847983],"genre_scores_gemma":[0.998693,0.0002279091,0.0002912781,0.00003902298,0.00004069897,0.000009096995,0.00003965168,0.000009696751,0.0006496134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121216,"threshold_uncertainty_score":0.06410593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007198590346680266,"score_gpt":0.2362643782628588,"score_spread":0.2290657879161786,"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."}}