{"id":"W7083710262","doi":"10.48550/arxiv.2509.21697","title":"Verification, Validation, and Uncertainty Quantification (VVUQ) of Physiologically Based Pharmacokinetic Models for Theranostic Digital Twins: Towards Reliable Model-Informed Treatment Planning for Radiopharmaceutical Therapies","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Uncertainty quantification; Credibility; Reliability (semiconductor); Precision medicine; Key (lock)","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":[0.03009084,0.001329404,0.001620507,0.002302558,0.000914601,0.004165172,0.002255361,0.002146722,0.001663758],"category_scores_gemma":[0.07727026,0.0008341538,0.002173655,0.001211539,0.003320665,0.003511303,0.004038137,0.003544357,0.0004669259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002834187,"about_ca_system_score_gemma":0.005453506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007442449,"about_ca_topic_score_gemma":0.002602131,"domain_scores_codex":[0.9846473,0.008253211,0.0008077317,0.001271952,0.00468019,0.0003396859],"domain_scores_gemma":[0.9488308,0.03625609,0.003577803,0.005100251,0.005928433,0.0003067698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001201496,0.00009260573,0.004910375,0.000957636,0.0004067638,0.0001473594,0.0002905922,0.6686867,0.003951617,0.1601675,0.003029921,0.1572387],"study_design_scores_gemma":[0.00002910363,0.0001560457,0.001685062,0.0005600719,0.0001157496,0.0001529869,0.00008963804,0.8439867,0.00721777,0.1355281,0.01036507,0.0001137709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01066151,0.001850618,0.9819269,0.0008712868,0.0001224704,0.0001070557,0.0002273031,0.0003682286,0.003864623],"genre_scores_gemma":[0.6083343,0.004510578,0.3828962,0.0007088633,0.0002561693,0.0005503517,0.0009243602,0.0004796361,0.001339574],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03009084,"threshold_uncertainty_score":0.1591375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.458331590977636,"score_gpt":0.410491072243674,"score_spread":0.04784051873396206,"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."}}