{"id":"W4411952099","doi":"10.1101/2025.07.01.25330627","title":"Assessing the value of linking public health microbiology data to the UK Biobank","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"NIHR Oxford Biomedical Research Centre; University of Oxford; Biomedical Research Council; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; Wellcome Trust; Robertson Foundation; Public Health England; Department of Health and Social Care","keywords":"Biobank; Value (mathematics); Public health; Medicine; Environmental health; Microbiology; Biology; Bioinformatics; Statistics; Pathology; Mathematics","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":[0.09312793,0.0006518715,0.0009246353,0.005439626,0.0009674678,0.00635482,0.001547166,0.002121828,0.007614419],"category_scores_gemma":[0.4247482,0.0006414747,0.0009025834,0.009394751,0.001592391,0.003469498,0.00586364,0.001763993,0.00236419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145257,"about_ca_system_score_gemma":0.003006502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009811929,"about_ca_topic_score_gemma":0.006054144,"domain_scores_codex":[0.8607755,0.1120565,0.00782314,0.007028466,0.01074751,0.001568954],"domain_scores_gemma":[0.4923908,0.3595603,0.05139098,0.06317052,0.02820624,0.005281227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001696199,0.0002221848,0.8940612,0.0007639076,0.001280576,0.0002467864,0.001326363,0.005537128,0.0006724702,0.005885098,0.02054835,0.06775969],"study_design_scores_gemma":[0.0008067161,0.001478518,0.8179629,0.002472021,0.001391187,0.001377299,0.002846337,0.0488564,0.003897642,0.02792187,0.09075518,0.0002338413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8579722,0.005787107,0.03349324,0.02929677,0.00150611,0.0008203305,0.05051133,0.0006527552,0.01996],"genre_scores_gemma":[0.9352142,0.0008882105,0.03854396,0.00244624,0.0006616663,0.0005786474,0.02023285,0.0001752408,0.001259113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09312793,"threshold_uncertainty_score":0.4925134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.75359276436513,"score_gpt":0.6371250397894606,"score_spread":0.1164677245756695,"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."}}