{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007076208,0.0002478137,0.0003479202,0.002825092,0.0004254474,0.0008595887,0.0003317742,0.0004154156,0.001416841],"category_scores_gemma":[0.002373643,0.000226307,0.0009481745,0.004807001,0.000280227,0.001050642,0.0009819878,0.0005758519,0.0002903139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008507266,"about_ca_system_score_gemma":0.001020496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04679366,"about_ca_topic_score_gemma":0.05418596,"domain_scores_codex":[0.9995182,0.00006923842,0.000113023,0.00009559267,0.00009510183,0.0001089062],"domain_scores_gemma":[0.9982375,0.0002877185,0.0007963,0.0001349953,0.0002941213,0.0002492826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003790981,0.00002275306,0.9974667,0.00006365147,0.000044317,0.0001246497,0.0003928507,0.00003106269,0.00006863382,0.00003212559,0.0002586306,0.001456685],"study_design_scores_gemma":[0.000004344186,0.00003956881,0.9975691,0.00002665591,0.00004791914,0.0001545062,0.001331753,0.0003127171,0.00004031754,0.00001876589,0.0004484784,0.000005702075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966042,0.0003081565,0.00006401385,0.0001201098,0.000004516348,0.0000364451,0.002317865,0.000006378055,0.0005382865],"genre_scores_gemma":[0.9975247,0.0001770043,0.0001026282,0.00004561619,0.0000110484,0.00005035874,0.001897623,0.000003180522,0.0001878304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04679366,"threshold_uncertainty_score":0.09304261,"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."}}