{"id":"W4392895230","doi":"10.1007/s10928-024-09903-0","title":"Predicting efficacy assessment of combined treatment of radiotherapy and nivolumab for NSCLC patients through virtual clinical trials using QSP modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Pharmacokinetics and Pharmacodynamics","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Syneos Health; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Medicine; Clinical trial; Nivolumab; Precision medicine; Clinical study design; Oncology; Medical physics; Cancer; Internal medicine; Immunotherapy; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001839141,0.000217115,0.001034586,0.0001630764,0.00005280348,0.00003035586,0.00006918884,0.00009112274,0.00001749019],"category_scores_gemma":[0.00006405757,0.0001614027,0.0004697432,0.0001433364,0.0001161489,0.0001150463,0.00001776235,0.0001980813,1.24005e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582397,"about_ca_system_score_gemma":0.0002818325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001995438,"about_ca_topic_score_gemma":4.786169e-7,"domain_scores_codex":[0.9972034,0.0002079066,0.001896807,0.0001946962,0.0003097771,0.0001874165],"domain_scores_gemma":[0.9978507,0.0008275206,0.0007922952,0.00008651705,0.0003062806,0.0001367449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02879271,0.003856218,0.02248444,0.001293356,0.009311028,0.00003191255,0.002112956,0.01091695,0.424111,0.000135069,0.0001612495,0.4967931],"study_design_scores_gemma":[0.03632201,0.006629176,0.0009614406,0.0005559071,0.002296294,0.00004365802,0.00009096784,0.9484662,0.003436083,0.0000338003,0.001029361,0.0001351261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578891,0.007625208,0.03212295,0.0001750512,0.001261355,0.0007576733,0.0001446773,0.000008623153,0.00001540367],"genre_scores_gemma":[0.9491348,0.04278336,0.007439444,0.00008037356,0.0004953857,0.000003503102,0.00001391234,0.00003749174,0.00001171726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9375492,"threshold_uncertainty_score":0.6581809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258935795778671,"score_gpt":0.4888746808658944,"score_spread":0.3629811012880273,"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."}}