{"id":"W4413986064","doi":"10.31718/mep.2025.29.2.01","title":"INFODEMIOLOGY OF RUSSO-UKRAINIAN WAR: USING GOOGLE TRENDS TO STUDY THE GLOBAL SPREAD OF UKRAINIAN REFUGEES WITH ALLERGIC DISEASES","year":2025,"lang":"en","type":"article","venue":"The Medical and Ecological Problems","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Refugee; Political science; Development economics; Medicine; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006693581,0.0002485254,0.00029826,0.002907312,0.0002135857,0.001233756,0.0002161346,0.0002260582,0.001138357],"category_scores_gemma":[0.002820541,0.0001062948,0.0005030053,0.0030948,0.0002870683,0.001337447,0.000772314,0.0003474016,0.0002587469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006666318,"about_ca_system_score_gemma":0.000674071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02749739,"about_ca_topic_score_gemma":0.02641715,"domain_scores_codex":[0.9995837,0.0001242786,0.0000575678,0.00008477103,0.00007904483,0.00007077045],"domain_scores_gemma":[0.9988415,0.0002652651,0.0005726311,0.00007122742,0.0001781704,0.00007132095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001308056,0.00003423118,0.9731871,0.0003166584,0.0001305262,0.0003815302,0.002423174,0.0006890594,0.0003829829,0.0004213982,0.001099698,0.02080283],"study_design_scores_gemma":[0.000002544049,0.00005460769,0.9897556,0.0001202999,0.00005632023,0.0004056356,0.004715314,0.001516271,0.000236243,0.00011206,0.003012933,0.00001219502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909021,0.001407866,0.0003228019,0.0002764135,0.00001743149,0.00003676923,0.004319727,0.00002511706,0.00269166],"genre_scores_gemma":[0.9967498,0.0007188714,0.0003761665,0.00005022603,0.00001588362,0.0000227039,0.001781853,0.000007470177,0.0002769834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02749739,"threshold_uncertainty_score":0.05467469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023526471925891,"score_gpt":0.3267694510833438,"score_spread":0.3032429791574528,"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."}}