{"id":"W1550301539","doi":"10.1111/deci.12038","title":"Efficiency Evaluation in Search Advertising","year":2013,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Data envelopment analysis; Search advertising; Computer science; Click-through rate; Resource (disambiguation); Principal component analysis; Online advertising; Business; Advertising; The Internet; World Wide Web; Mathematics; Artificial intelligence; Statistics","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":[0.01764011,0.0007930347,0.001243064,0.005178659,0.0004846113,0.00257284,0.0007417678,0.0005096102,0.001500081],"category_scores_gemma":[0.06546529,0.0003256152,0.001304089,0.004761992,0.00123262,0.002865521,0.00113189,0.0006066909,0.0002052761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003359457,"about_ca_system_score_gemma":0.002011965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005939554,"about_ca_topic_score_gemma":0.00277541,"domain_scores_codex":[0.9845351,0.009759885,0.0007741766,0.000741509,0.0034572,0.0007321209],"domain_scores_gemma":[0.9156622,0.06775614,0.004575266,0.005893349,0.005604894,0.0005081721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001018095,0.0005881211,0.0965993,0.0003489133,0.0005836988,0.0001580214,0.000533362,0.7163578,0.002419697,0.05036991,0.0006509988,0.1303721],"study_design_scores_gemma":[0.00002968208,0.0006000662,0.04450485,0.00004856225,0.0001243475,0.00008295454,0.0005445869,0.9349647,0.004330769,0.01375559,0.0009616093,0.0000523571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.819015,0.0007666996,0.1675097,0.0002054392,0.00001767946,0.0002501617,0.0002387369,0.0001512879,0.01184529],"genre_scores_gemma":[0.9892563,0.00006933785,0.01016427,0.000009376199,0.000004986715,0.00003485462,0.0001085748,0.0000175793,0.000334745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01764011,"threshold_uncertainty_score":0.09329093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343823925292041,"score_gpt":0.3481110302195194,"score_spread":0.274672790966599,"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."}}