{"id":"W4412488267","doi":"10.1371/journal.pcbi.1013247","title":"Multi-scale computational modeling towards efficacy in radiopharmaceutical therapies while minimizing side effects: Modeling of amino acid infusion","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Disability Prevention and Rehabilitation; Balsillie School of International Affairs; University of Waterloo; University of British Columbia","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Pharmacokinetics; Kidney; Absorbed dose; Toxicity; Pharmacology; Chemistry; Nuclear medicine; Medicine; Dosimetry; Internal medicine","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":[0.0005106347,0.0006402743,0.0007246099,0.0003581764,0.0003230778,0.0009704129,0.0008754689,0.001401987,0.0008977524],"category_scores_gemma":[0.001356239,0.0004487064,0.001163777,0.0002881055,0.0006053685,0.0005581258,0.0007757823,0.0007028201,0.0001516035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008125888,"about_ca_system_score_gemma":0.001177237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111966,"about_ca_topic_score_gemma":0.003337714,"domain_scores_codex":[0.9998235,0.00006292915,0.000008711848,0.00003160386,0.00004575513,0.00002755389],"domain_scores_gemma":[0.9995535,0.0002640423,0.00006370256,0.0000261672,0.00006243673,0.00003007544],"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":[0.00001025445,0.00001003143,0.0002174855,0.0000127584,0.000007587116,0.0000232797,0.00001254622,0.9968272,0.001029858,0.0009586141,0.00004506414,0.0008453525],"study_design_scores_gemma":[0.000001959379,0.000004484666,0.00004964676,0.000001432915,0.000002870123,0.000003903635,0.000002074213,0.9994808,0.0001262081,0.0002212848,0.0001039155,0.00000139258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.278656,0.001169305,0.7046497,0.001119904,0.0001100976,0.0001772804,0.0003004024,0.0003997022,0.01341756],"genre_scores_gemma":[0.94707,0.0005803802,0.04826004,0.0001712751,0.0000360516,0.0002447393,0.0001208249,0.0001076085,0.003409087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111966,"threshold_uncertainty_score":0.02226287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08516360063378,"score_gpt":0.3576849246829473,"score_spread":0.2725213240491673,"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."}}