{"id":"W4413368484","doi":"10.2196/75395","title":"Public Information Needs and Interest in Specific Food and Drug Allergy Disorders in Germany (2022–2024): Google Search Engine Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Allergy; Medicine; Population; Environmental health; World Wide Web; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389721,0.0003526658,0.0005170977,0.01552346,0.0002560257,0.001649685,0.0003811022,0.0005343676,0.002312956],"category_scores_gemma":[0.008012585,0.0001670257,0.001122729,0.01671844,0.0002899048,0.001975762,0.001081068,0.0003415102,0.0005381277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014366,"about_ca_system_score_gemma":0.001421534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04476826,"about_ca_topic_score_gemma":0.03756648,"domain_scores_codex":[0.9989092,0.0001583718,0.0002744788,0.0001348671,0.0003218505,0.0002012089],"domain_scores_gemma":[0.9935772,0.003037817,0.002292844,0.000106815,0.0006543614,0.0003309495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008208044,0.00008253094,0.9466102,0.004857096,0.0004914849,0.001185179,0.002691147,0.0007955083,0.0007455648,0.0008255098,0.011212,0.029683],"study_design_scores_gemma":[0.0000171031,0.00006762666,0.9850101,0.0005748178,0.0003151364,0.0008415584,0.00345695,0.001346195,0.0002983455,0.0001369438,0.007910653,0.00002466847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938709,0.005468755,0.0001310446,0.0007687903,0.00001789785,0.0001090792,0.09648697,0.00005121357,0.003095283],"genre_scores_gemma":[0.9632122,0.00271706,0.0003849785,0.0001199071,0.0000241978,0.0001049279,0.03288163,0.000013627,0.0005414046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04476826,"threshold_uncertainty_score":0.08901536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112038943264835,"score_gpt":0.3467417425088264,"score_spread":0.3056213530761781,"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."}}