{"id":"W4390593459","doi":"10.2196/53086","title":"Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Magyar Tudományos Akadémia; Hungarian Scientific Research Fund","keywords":"Pharmacy; Internet privacy; Online search; Public health; Business; Computer security; Computer science; World Wide Web; Medicine; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00267881,0.0001731851,0.000380857,0.0002434055,0.0003460694,0.0003083542,0.000054037,0.00006870223,0.00005892307],"category_scores_gemma":[0.0004936688,0.000151758,0.00002715262,0.0005004959,0.0001664637,0.0002126754,0.00006805557,0.0004796231,0.000009601202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292622,"about_ca_system_score_gemma":0.001102661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002238671,"about_ca_topic_score_gemma":0.0006449425,"domain_scores_codex":[0.9977394,0.0004784426,0.0005092191,0.0004708943,0.0002246698,0.0005774243],"domain_scores_gemma":[0.9977524,0.0004919458,0.00005377529,0.000141161,0.0001807681,0.001379988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004050351,0.00008832525,0.00589721,0.0005179172,0.00003392016,0.000004396045,0.00463609,4.645845e-7,0.0000490098,0.01360143,0.001183245,0.9739475],"study_design_scores_gemma":[0.0008777714,0.002331568,0.04956224,0.0006166698,0.00000611785,0.0004049585,0.02797768,0.08182146,0.00008313669,0.001232621,0.8342083,0.0008775374],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3135136,0.005642916,0.01950254,0.659987,0.000207994,0.0007184227,0.0001854449,0.0001200337,0.0001221254],"genre_scores_gemma":[0.9773761,0.004911368,0.00176097,0.01533916,0.0002120867,0.00006054641,0.0002363519,0.00001650008,0.00008691208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.97307,"threshold_uncertainty_score":0.618851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3493345345452449,"score_gpt":0.4972657081506322,"score_spread":0.1479311736053873,"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."}}