{"id":"W4414083506","doi":"10.2196/70746","title":"Analyzing Reddit Social Media Content in the United States Related to H5N1: Sentiment and Topic Modeling Study","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"Foreign, Commonwealth and Development Office; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; University of Toronto; World Health Organization","keywords":"Social media; Topic model; Public health; Content analysis; Public health interventions; Health communication; Psychological intervention; Content (measure theory)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454917,0.0004223979,0.00024174,0.001846231,0.0003463221,0.0006461152,0.0002190461,0.000361533,0.0005493326],"category_scores_gemma":[0.003985526,0.0001274055,0.0006308859,0.001438506,0.0001952706,0.0005955682,0.0004338074,0.0004322753,0.0002449871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005660202,"about_ca_system_score_gemma":0.0003173354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126663,"about_ca_topic_score_gemma":0.01762225,"domain_scores_codex":[0.9995209,0.0001930376,0.00003666824,0.0001198631,0.0000741823,0.00005525492],"domain_scores_gemma":[0.9962327,0.002740552,0.0004308026,0.0001139644,0.0003772273,0.0001049001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006081334,0.0005196809,0.8554999,0.0003300198,0.0003482783,0.0006553314,0.00508467,0.01885291,0.01069088,0.0009771708,0.008343376,0.09808957],"study_design_scores_gemma":[0.00001562907,0.0001407808,0.6450323,0.00006882932,0.0001467039,0.0002614554,0.004016114,0.3426597,0.002184982,0.0006195673,0.004814414,0.00003954111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937673,0.0003016871,0.002981897,0.0002669327,0.00003463364,0.00003969906,0.001621374,0.00004761889,0.0009390072],"genre_scores_gemma":[0.992368,0.0002437899,0.003121396,0.00005340247,0.00009125152,0.00005512629,0.003415311,0.00001451316,0.000637117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126663,"threshold_uncertainty_score":0.02518517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200599259627207,"score_gpt":0.4533109224042586,"score_spread":0.333250996441538,"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."}}