{"id":"W4413198234","doi":"10.22541/au.175498768.89715667/v1","title":"Improving vaccine uptake among ethnic minority communities in Wales: a community-based approach","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Ethnic group; Geography; Political science; Law","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":[0.008735138,0.0004128847,0.0004293738,0.001863198,0.006552649,0.002203545,0.001599119,0.001448115,0.004008263],"category_scores_gemma":[0.008036034,0.0003600216,0.0004195797,0.0007694631,0.001753663,0.00150655,0.007924341,0.001598917,0.0004613824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005577359,"about_ca_system_score_gemma":0.02492013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07440801,"about_ca_topic_score_gemma":0.1233432,"domain_scores_codex":[0.9953442,0.003351795,0.00007042232,0.0002247398,0.0002924441,0.0007162193],"domain_scores_gemma":[0.9958443,0.001379094,0.0002142229,0.0001679571,0.0007033676,0.001690947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006339754,0.007846614,0.1260711,0.002804686,0.0002261143,0.003111212,0.347609,0.001027154,0.006702424,0.01150871,0.01436514,0.4780939],"study_design_scores_gemma":[0.0005065216,0.007615781,0.2382382,0.004272196,0.0003243624,0.0007657296,0.6350482,0.004332589,0.00319168,0.01300639,0.09250248,0.0001958815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554858,0.001076029,0.002714467,0.01633475,0.0001825446,0.002773106,0.0001081429,0.00004202687,0.02128304],"genre_scores_gemma":[0.9849285,0.0008644388,0.006329167,0.002937242,0.0000399596,0.001269693,0.00006718384,0.0000108625,0.003552862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07440801,"threshold_uncertainty_score":0.1479498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07917277081493806,"score_gpt":0.3328947217269197,"score_spread":0.2537219509119816,"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."}}