{"id":"W4412745977","doi":"10.2196/63223","title":"Mapping Vaccine Sentiment by Analyzing Spanish-Language Social Media Posts and Survey-Based Public Opinion: Dual Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Public opinion; Social media; Sentiment analysis; Computer science; Political science; World Wide Web; Artificial intelligence; Law","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":[0.004880656,0.000199473,0.0005327716,0.0002529943,0.0006543802,0.0001003591,0.0002701655,0.0002507973,0.0001374454],"category_scores_gemma":[0.001465566,0.0001977102,0.0000812166,0.0006943064,0.00004383827,0.0001760858,0.0002328711,0.000297079,0.00000589142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286593,"about_ca_system_score_gemma":0.0002662544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109144,"about_ca_topic_score_gemma":0.003101089,"domain_scores_codex":[0.9952902,0.003044074,0.0005241006,0.0004392308,0.0001693745,0.0005330304],"domain_scores_gemma":[0.997402,0.001934189,0.0001971869,0.0002061774,0.0001337734,0.0001267315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004190579,0.000172474,0.9519145,0.0000191182,0.00009808758,0.000006978769,0.02212059,0.000001915253,0.000312457,0.001745872,0.0118465,0.01171957],"study_design_scores_gemma":[0.001310489,0.00006558545,0.9742548,0.00001507173,0.00002166003,6.962853e-7,0.01421899,0.000116856,0.00002750589,0.0005571669,0.009161053,0.000250079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856756,0.001410436,0.003375262,0.007134458,0.0006217099,0.0006036425,0.00002357849,0.0001171557,0.001038199],"genre_scores_gemma":[0.9973975,0.00005784268,0.0009910903,0.000955927,0.0002822553,0.00007702977,0.00007951242,0.00001017024,0.000148643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02234032,"threshold_uncertainty_score":0.8062387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626256207063596,"score_gpt":0.4287014088838729,"score_spread":0.372438846813237,"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."}}