{"id":"W2112663560","doi":"10.1158/1078-0432.ccr-05-2079","title":"Real-time Dose Adjustment of Cyclophosphamide in a Preparative Regimen for Hematopoietic Cell Transplant: A Bayesian Pharmacokinetic Approach","year":2006,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"NONMEM; Pharmacokinetics; Cyclophosphamide; Medicine; Regimen; Mean squared error; Population; Bayesian probability; Statistics; Oncology; Chemotherapy; Pharmacology; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002622724,0.0002344384,0.0008582784,0.0002631907,0.00005826942,0.00001165725,0.0002401236,0.0002428147,0.0002720172],"category_scores_gemma":[0.0000587354,0.0002058102,0.0002476061,0.0006518342,0.0003811395,0.00005814829,0.00002825439,0.0005334695,0.00002593619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145588,"about_ca_system_score_gemma":0.0006343546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009509745,"about_ca_topic_score_gemma":0.00005261515,"domain_scores_codex":[0.9958606,0.0004938106,0.001359384,0.0007329373,0.0008576815,0.0006955415],"domain_scores_gemma":[0.997142,0.001669012,0.0001748327,0.0004558101,0.0003046781,0.0002536367],"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":[0.09832051,0.03817851,0.1868149,0.05507268,0.001247205,0.001076204,0.03239503,0.00356738,0.516674,0.00477021,0.04681234,0.01507106],"study_design_scores_gemma":[0.1243046,0.0104374,0.2806909,0.008532952,0.001976668,0.000225631,0.00256525,0.04265387,0.515511,0.005983814,0.004864975,0.002252985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533815,0.001709031,0.001251933,0.0006666006,0.0001299506,0.005741902,0.0001504398,0.00006090924,0.03690769],"genre_scores_gemma":[0.9894332,0.002292836,0.003448603,0.00004468864,0.0002601945,0.001443627,0.0001293751,0.00005962164,0.002887875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09387601,"threshold_uncertainty_score":0.8392695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07709430576573807,"score_gpt":0.4415861146697511,"score_spread":0.364491808904013,"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."}}