{"id":"W4412399890","doi":"10.2196/74317","title":"Public Interest in Dry Eye Disease and Its Association With Environmental Parameters in Taiwan: Google Trends Infodemiology Study","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Association (psychology); Geography; Psychology; Computer science; World Wide Web","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":[0.0008355861,0.0002743738,0.0007846323,0.0006718709,0.00003666308,0.00001388046,0.0001777275,0.0002358584,0.00005053137],"category_scores_gemma":[0.001130316,0.0002419218,0.0000580897,0.0004494553,0.0001495526,0.0001994039,0.0002893399,0.0005596865,0.00002048937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600365,"about_ca_system_score_gemma":0.0001466118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004845664,"about_ca_topic_score_gemma":0.001084564,"domain_scores_codex":[0.9973549,0.0006863988,0.0006961467,0.0006000117,0.0001200346,0.0005424712],"domain_scores_gemma":[0.9987022,0.0003784251,0.0002432865,0.0004209153,0.00002641564,0.0002287573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009317603,0.0007569027,0.9953697,0.00004328247,0.0001092882,0.0001009949,0.0002932705,0.00007405601,0.00004328577,0.0003107522,0.0002330303,0.001733695],"study_design_scores_gemma":[0.004302126,0.0004484533,0.992209,0.00006094906,0.000051345,0.000001133928,0.0003593315,0.001369806,0.000002478607,0.0001929322,0.0008121582,0.000190273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993549,0.0003440233,0.00001265899,0.004412813,0.00009566414,0.0008657134,0.0001117812,0.00006811754,0.0005401786],"genre_scores_gemma":[0.9968517,0.00004979134,0.00009005188,0.001748648,0.00002068299,0.0005245807,0.0002914186,0.00001623622,0.0004068905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003370366,"threshold_uncertainty_score":0.9865285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04003571042155381,"score_gpt":0.3178528453633487,"score_spread":0.2778171349417949,"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."}}