{"id":"W4403231560","doi":"10.1080/13696998.2024.2413284","title":"Out of focus but still relevant? Influenza-related resource utilization and vaccination coverage gaps in adults below 60 years of age with underlying conditions: an analysis of 2016–2024 real-world data in Germany","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Medicine; Real world data; Vaccination; Focus (optics); Environmental health; Demography; Virology; Data science","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":[0.00561451,0.000436119,0.001280617,0.004072417,0.0002470922,0.001302687,0.000780774,0.0006680739,0.001168775],"category_scores_gemma":[0.01730087,0.0003914486,0.003301197,0.007438861,0.0003853422,0.001371149,0.001244431,0.0005900917,0.0001831616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455696,"about_ca_system_score_gemma":0.002225365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04342613,"about_ca_topic_score_gemma":0.03917636,"domain_scores_codex":[0.9949944,0.001631152,0.001577026,0.000703575,0.0005644694,0.0005292931],"domain_scores_gemma":[0.9904055,0.003799245,0.004307682,0.0005591488,0.0006431039,0.0002852994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004823938,0.00005355311,0.9596755,0.006805504,0.006770759,0.0003922531,0.0008092355,0.001283856,0.0001348358,0.0009081592,0.005901538,0.01678232],"study_design_scores_gemma":[0.00005651739,0.00007367526,0.981446,0.003735207,0.003072043,0.0003563321,0.001061541,0.001424212,0.0001457979,0.0003548676,0.008234772,0.00003902135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250921,0.07489671,0.001135041,0.003817403,0.0001242021,0.0001510131,0.09347765,0.00003751958,0.001268289],"genre_scores_gemma":[0.9765841,0.005865077,0.0005995389,0.0007575721,0.00005072233,0.0001312015,0.01590117,0.00001195198,0.00009860613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04342613,"threshold_uncertainty_score":0.08634675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08751726145509976,"score_gpt":0.4022338561713753,"score_spread":0.3147165947162756,"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."}}