{"id":"W7131881240","doi":"10.5376/jvr.2025.15.0006","title":"Exploring mRNA Vaccines for Influenza: Preclinical and Clinical Insights","year":2025,"lang":"","type":"article","venue":"Journal of Vaccine Research","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Messenger RNA; Immune system; Translation (biology); Disease","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0282416,0.000640909,0.003023522,0.003665233,0.001113481,0.0003329637,0.00116171,0.0006022158,0.0001214645],"category_scores_gemma":[0.08248052,0.0004809468,0.0010809,0.002498414,0.0005522101,0.001261805,0.001805596,0.00653707,0.00004469386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006191281,"about_ca_system_score_gemma":0.003897324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006171648,"about_ca_topic_score_gemma":0.00005572513,"domain_scores_codex":[0.9859436,0.002435164,0.005870079,0.001012779,0.002692746,0.002045609],"domain_scores_gemma":[0.9571351,0.02665373,0.001033615,0.00109233,0.01269443,0.00139083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06407641,0.004504907,0.478346,0.006525535,0.01121778,0.0006689085,0.002060044,0.00003467192,0.001995114,0.002838762,0.1009176,0.3268143],"study_design_scores_gemma":[0.03752544,0.01667533,0.4932661,0.007732769,0.001265002,0.0001146937,0.003479894,0.001023621,0.001894216,0.003234189,0.4332694,0.0005193308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425403,0.1366005,0.0002081212,0.0139025,0.002612843,0.002680383,0.00001673506,0.00002342445,0.001415209],"genre_scores_gemma":[0.6842697,0.2995099,0.002263039,0.001117745,0.009653889,0.0002005063,0.000002266612,0.0001377845,0.002845143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323518,"threshold_uncertainty_score":0.9997642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6749643836756348,"score_gpt":0.6094757613748978,"score_spread":0.06548862230073704,"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."}}