{"id":"W2520503678","doi":"10.1111/bcpt.12675","title":"Use of a Target‐Mediated Drug Disposition Model to Predict the Human Pharmacokinetics and Target Occupancy of <scp>GC</scp>1118, an Anti‐epidermal Growth Factor Receptor Antibody","year":2016,"lang":"en","type":"article","venue":"Basic & Clinical Pharmacology & Toxicology","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Pharmacokinetics; Cetuximab; Chemistry; Epidermal growth factor receptor; Volume of distribution; Pharmacology; Receptor; Monoclonal antibody; Antibody; Biochemistry; Biology; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001974403,0.000482908,0.001550682,0.0003656656,0.0001768224,0.00001513794,0.0006466843,0.0005707686,0.0009441395],"category_scores_gemma":[0.002591464,0.0002989209,0.0003003099,0.0004818355,0.002132708,0.0002929654,0.0004766008,0.001098207,0.0000448375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390777,"about_ca_system_score_gemma":0.0006947976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004884212,"about_ca_topic_score_gemma":0.00001038356,"domain_scores_codex":[0.9932335,0.001997606,0.001985654,0.001074146,0.0006218294,0.001087267],"domain_scores_gemma":[0.991432,0.005586931,0.0006506984,0.0006167907,0.000738115,0.0009754251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006969969,0.001812203,0.2723801,0.0001474897,0.0003742612,0.00004362778,0.0003172717,0.00002950717,0.6755822,0.00006428124,0.04736586,0.001186145],"study_design_scores_gemma":[0.01398826,0.007518497,0.5658872,0.0002363459,0.0009389022,0.00006693313,0.0000866139,0.007011684,0.3851764,0.0003669419,0.01832771,0.000394616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853317,0.0002061301,0.0009258749,0.008703399,0.001305646,0.002266587,0.001066994,0.0001085856,0.00008509658],"genre_scores_gemma":[0.9892759,0.001007008,0.001984809,0.005834079,0.001006951,0.0001682204,0.0001396639,0.00009424971,0.0004890917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293507,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078287518249041,"score_gpt":0.4524255398776605,"score_spread":0.3445967880527565,"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."}}