{"id":"W3083023402","doi":"10.1158/1538-7445.am2020-3021","title":"Abstract 3021: Integrated pharmacokinetic (PK)/pharmacodynamic (PD) modeling leveraging PK, biomarker, and safety data to support dose and schedule selection for the BET inhibitor BMS-986158","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Pharmacology; Pharmacodynamics; Pharmacokinetics; Cmax; Dosing; Medicine; Population; Biomarker; Chemistry","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":[0.0008318892,0.0005086949,0.0006237696,0.0002714606,0.0001391927,0.0007573139,0.0004410236,0.0005920155,0.001741327],"category_scores_gemma":[0.0009878601,0.0003511324,0.0009979355,0.0001702985,0.0001714685,0.0002660648,0.0002504572,0.0006287675,0.0002762358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196033,"about_ca_system_score_gemma":0.001225486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005685481,"about_ca_topic_score_gemma":0.003170631,"domain_scores_codex":[0.999823,0.00006884033,0.000007293012,0.00003195875,0.00004682823,0.00002210288],"domain_scores_gemma":[0.9996619,0.0002005728,0.00007292452,0.00001392046,0.00003817441,0.00001249692],"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":[0.0004141168,0.0001132634,0.001736843,0.00007468156,0.0000700536,0.00007468854,0.0000210962,0.9827508,0.007643298,0.0007619321,0.0003285112,0.006010718],"study_design_scores_gemma":[0.00003681786,0.0001802065,0.0006578909,0.000003624288,0.00002813734,0.00003230845,0.000004062116,0.9968565,0.001495692,0.0002852485,0.0004142655,0.000005338838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7737532,0.0009193071,0.2115418,0.0004561202,0.00002886816,0.000470233,0.001843341,0.0006572994,0.0103298],"genre_scores_gemma":[0.9843604,0.0002333112,0.01295706,0.00006676317,0.00000653624,0.0001808707,0.0004183032,0.00003396645,0.001742789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005685481,"threshold_uncertainty_score":0.0113048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886286561644966,"score_gpt":0.42875532570818,"score_spread":0.2401266695436835,"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."}}