{"id":"W4405713243","doi":"10.37016/mr-2020-170","title":"Google allows advertisers to target the sensitive informational queries of cancer patients","year":2024,"lang":"en","type":"article","venue":"Harvard Kennedy School Misinformation Review","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Computer science; Advertising; Information retrieval; World Wide Web; Internet privacy; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002537833,0.0002494645,0.000462154,0.0001918455,0.0006118809,0.0000733674,0.0003198514,0.0001336924,0.007901446],"category_scores_gemma":[0.001531652,0.0001608662,0.0001704063,0.0008779875,0.00005799169,0.004718531,0.0001433648,0.0006162929,0.009720749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813826,"about_ca_system_score_gemma":0.001094101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575904,"about_ca_topic_score_gemma":0.00003329792,"domain_scores_codex":[0.9950933,0.0003565541,0.003240921,0.000171027,0.0006784582,0.0004597675],"domain_scores_gemma":[0.9966463,0.0003825174,0.0008214009,0.0004406205,0.001389435,0.0003197132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000181517,0.00006883748,0.01776019,0.05984128,0.000161311,8.233034e-7,0.02579871,0.0003342672,0.000007748282,0.008002133,0.7667882,0.1210549],"study_design_scores_gemma":[0.0002669957,0.00004143344,0.03535633,0.009442176,0.00003538045,0.000001061064,0.0008540125,0.002902149,0.00002324007,0.00006351207,0.9508324,0.0001812814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.3358804,0.0584881,0.04081537,0.07087755,0.01905552,0.06117653,0.01016031,0.002697122,0.4008491],"genre_scores_gemma":[0.4143993,0.1000381,0.01373111,0.4457404,0.001434274,0.00704389,0.006852231,0.0001676749,0.01059306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3902561,"threshold_uncertainty_score":0.9930055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241204486964523,"score_gpt":0.4089788307927609,"score_spread":0.3865667859231157,"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."}}