{"id":"W4405553425","doi":"10.1145/3704438","title":"The In-Situ Effect of Offensive Ads on Search Engine Users","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Digital Communication and Language","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Offensive; In situ; Advertising; Computer science; Business; Engineering; Chemistry; Operations research","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":[0.002148783,0.0003736886,0.0002927869,0.0004887834,0.0006247536,0.001449759,0.0002613111,0.0005573154,0.003481488],"category_scores_gemma":[0.0169968,0.0002269122,0.0003649545,0.0002618204,0.0006121434,0.0008346435,0.000667755,0.0005788584,0.0005155322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249057,"about_ca_system_score_gemma":0.0001642409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611029,"about_ca_topic_score_gemma":0.002245825,"domain_scores_codex":[0.9979741,0.001011497,0.0001628811,0.0002695702,0.0004585018,0.0001234746],"domain_scores_gemma":[0.9698186,0.02258874,0.003225703,0.002023587,0.001623758,0.0007196745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006409581,0.00231774,0.7231929,0.001385284,0.0004750389,0.001047729,0.03096782,0.001740436,0.1318447,0.001217009,0.002379434,0.09702238],"study_design_scores_gemma":[0.0001415353,0.003952403,0.9305914,0.000113726,0.0004350557,0.0007614822,0.01065632,0.004527202,0.04060135,0.0008730053,0.007217063,0.0001294598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945469,0.00007296654,0.0004628083,0.00004865466,0.00001495345,0.00002870036,0.0000724481,0.00002537643,0.004727226],"genre_scores_gemma":[0.998247,0.00004245305,0.0006185516,0.00007212834,0.00001940894,0.00002119435,0.00007220874,0.0000115257,0.0008954472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003481488,"threshold_uncertainty_score":0.01164669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339024645284491,"score_gpt":0.2631815122080373,"score_spread":0.2497912657551924,"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."}}