{"id":"W4396608809","doi":"10.1007/s40268-024-00459-5","title":"Retrospective Assessment of Translational Pharmacokinetic–Pharmacodynamic Modeling Performance: A Case Study with Apitolisib, a Dual PI3K/mTOR Inhibitor","year":2024,"lang":"en","type":"article","venue":"Drugs in R&D","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discovery and development of mTOR inhibitors; PI3K/AKT/mTOR pathway; Pharmacodynamics; Pharmacokinetics; Dual (grammatical number); Pharmacology; Medicine; Chemistry; Biochemistry; Signal transduction; Philosophy","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":[0.0003875258,0.0002325767,0.0002285314,0.0001564202,0.00005603334,0.00003172071,0.0001264501,0.00008743082,0.00004520278],"category_scores_gemma":[0.000006029436,0.0002108514,0.0000733994,0.0002970653,0.00007028932,0.00001707407,0.00005486594,0.0002981015,0.000001567288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072597,"about_ca_system_score_gemma":0.0003293811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008615388,"about_ca_topic_score_gemma":0.0000494666,"domain_scores_codex":[0.9983668,0.00007890457,0.0003762463,0.0005287592,0.0003866664,0.000262592],"domain_scores_gemma":[0.9995172,0.00001871224,0.00006200102,0.0002131002,0.0001252894,0.00006367126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001302894,0.001651988,0.1158263,0.0007501809,0.001249958,0.001785195,0.009283781,0.2816019,0.5789535,0.0001299562,0.0003563368,0.00710795],"study_design_scores_gemma":[0.004079099,0.001741317,0.002650792,0.0002647934,0.0002128467,0.0005569407,0.002026289,0.9573804,0.03021637,0.00002684846,0.0002459153,0.0005983847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959006,0.0006957387,0.001875788,0.00003977559,0.0004191424,0.0005403901,0.00007854984,0.00002917175,0.0004208285],"genre_scores_gemma":[0.9983637,0.0000645832,0.0008235861,0.00002611547,0.0004255179,0.0001419983,0.00004264733,0.00004851199,0.00006333089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6757785,"threshold_uncertainty_score":0.859827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153475692529791,"score_gpt":0.3250791939346348,"score_spread":0.3135444370093369,"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."}}