{"id":"W4404473952","doi":"10.1080/17435889.2024.2419816","title":"Editorial: design considerations for future personalized vaccination approaches","year":2024,"lang":"en","type":"editorial","venue":"Nanomedicine","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Management science; Data science; Engineering ethics; Medicine; Engineering","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":[0.005718148,0.003165421,0.002538822,0.00189727,0.00313196,0.005805,0.003051896,0.01543522,0.022137],"category_scores_gemma":[0.02428945,0.0009581265,0.002490987,0.0008994464,0.00225937,0.005039472,0.001274774,0.02248051,0.0213602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311764,"about_ca_system_score_gemma":0.003722623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127654,"about_ca_topic_score_gemma":0.00345366,"domain_scores_codex":[0.9961128,0.00064842,0.0003856385,0.000455318,0.002119461,0.0002781974],"domain_scores_gemma":[0.9820026,0.008073416,0.0008279398,0.0004013369,0.00649837,0.002196361],"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":[0.0000256434,0.000009242202,0.00001124057,0.00008660163,0.000006737068,0.00004888933,0.000005134023,0.00002534155,0.00003551985,0.0003258355,0.9960195,0.003400232],"study_design_scores_gemma":[0.00006469764,0.00002533222,0.000110708,0.0002284207,0.00002645553,0.000176467,0.0000174285,0.0001630366,0.0001000263,0.001712268,0.9973586,0.00001643493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003443682,0.002926068,0.0002007686,0.04392654,0.9499415,0.00002951834,0.00007518123,0.00008556824,0.0027804],"genre_scores_gemma":[0.0004629162,0.003076729,0.0001975284,0.04359154,0.938751,0.00003121582,0.00004095654,0.00005340151,0.01379474],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.022137,"threshold_uncertainty_score":0.07405561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833773113024895,"score_gpt":0.2691437782680804,"score_spread":0.2408060471378315,"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."}}