{"id":"W2883141789","doi":"10.1089/hum.2018.098","title":"Age-Related Seroprevalence of Antibodies Against AAV-LK03 in a UK Population Cohort","year":2018,"lang":"en","type":"article","venue":"Human Gene Therapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"NIHR Great Ormond Street Hospital Biomedical Research Centre; National Health and Medical Research Council; Medical Research Council; National Institute for Health and Care Research; Action Medical Research","keywords":"Seroprevalence; Antibody; Virology; Medicine; Population; Neutralizing antibody; Adeno-associated virus; Cohort; Serotype; Immunology; Titer; Biology; Recombinant DNA; Internal medicine; Vector (molecular biology); Serology; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196506,0.0001872911,0.000231709,0.0001371684,0.0001034233,0.00001618756,0.0003084938,0.0001608412,0.0001445295],"category_scores_gemma":[0.00001489359,0.0001813001,0.00008918424,0.0001969044,0.0002704573,0.000004942636,0.00005944502,0.0001038933,0.00001690262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002643626,"about_ca_system_score_gemma":0.00004340032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034508,"about_ca_topic_score_gemma":0.0006362195,"domain_scores_codex":[0.9985161,0.0001761219,0.000360487,0.000398833,0.0002369171,0.0003114711],"domain_scores_gemma":[0.9991477,0.000007000343,0.0001203849,0.0005649715,0.0001045876,0.00005539291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000619737,0.00008024398,0.08817476,0.000008270602,0.00008213181,0.00000444842,0.0001696323,0.00006177913,0.9079421,0.00001459635,0.0001120031,0.002730315],"study_design_scores_gemma":[0.001173348,0.001812805,0.2295561,0.00002459642,0.000004332713,0.000002911599,0.0000195653,0.00005129145,0.7667528,0.0002726559,0.0001332669,0.0001963561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968281,0.001581883,0.00001093183,0.00002400937,0.00006713504,0.0004050805,0.000009560003,0.00001699291,0.001056279],"genre_scores_gemma":[0.996798,0.001985342,0.0001236453,0.0001477811,0.0001540471,0.00002249396,0.0002192066,0.00003837096,0.0005111197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1413813,"threshold_uncertainty_score":0.7393205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663807453945137,"score_gpt":0.3276560002674506,"score_spread":0.3010179257279992,"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."}}