{"id":"W4414971169","doi":"10.1080/21645515.2025.2570584","title":"From hesitancy to confidence: Shaping the future of vaccine messaging","year":2025,"lang":"en","type":"editorial","venue":"Human Vaccines & Immunotherapeutics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"","keywords":"MEDLINE; Vaccination; Text messaging; Risk communication; Public health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01425452,0.002682627,0.003409015,0.002693301,0.004725773,0.01285007,0.004100183,0.02511834,0.01170462],"category_scores_gemma":[0.0536685,0.001068877,0.002398788,0.001255327,0.005189199,0.009001076,0.002453634,0.03701145,0.006576998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005678579,"about_ca_system_score_gemma":0.009298062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003565523,"about_ca_topic_score_gemma":0.01086702,"domain_scores_codex":[0.9904624,0.003403779,0.0008840893,0.0007164894,0.003862551,0.0006707622],"domain_scores_gemma":[0.943051,0.0377215,0.001458319,0.000595673,0.01221694,0.004956532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001843687,0.000007350688,0.00001739876,0.0002653688,0.00001448576,0.00003738963,0.00005103937,0.00001142578,0.00002019022,0.0008404447,0.9930068,0.005709584],"study_design_scores_gemma":[0.00008177202,0.00003980141,0.0002357201,0.001781678,0.0000795251,0.0001256359,0.0002698718,0.0001382279,0.00008333093,0.004107264,0.9930151,0.00004206663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003481608,0.01682475,0.00007465144,0.1503235,0.8313371,0.00001379749,0.00003035774,0.00003287608,0.001328089],"genre_scores_gemma":[0.0007540134,0.013717,0.00009236264,0.08515305,0.8946139,0.00002799398,0.00001914929,0.00003155351,0.005591008],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02511834,"threshold_uncertainty_score":0.07538605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136742104842027,"score_gpt":0.3382598720825801,"score_spread":0.3168924510341599,"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."}}