{"id":"W2742972753","doi":"10.1007/s40262-017-0576-7","title":"Improving Pediatric Protein Binding Estimates: An Evaluation of α1-Acid Glycoprotein Maturation in Healthy and Infected Subjects","year":2017,"lang":"en","type":"article","venue":"Clinical Pharmacokinetics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; U.S. Food and Drug Administration; National Institutes of Health","keywords":"Ontogeny; Glycoprotein; Sigmoid function; Biology; Endocrinology; Physiology; Internal medicine; Medicine; Biochemistry; Computer science; Artificial intelligence","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":[0.00237256,0.0001628387,0.0002307879,0.0001284114,0.0001656546,0.00008668536,0.0002587998,0.0002278797,0.00003445679],"category_scores_gemma":[0.003100693,0.0001619528,0.00005276325,0.0001149342,0.0001542525,0.00003238253,0.0001879532,0.0002849656,0.000004057874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000251078,"about_ca_system_score_gemma":0.0002537508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007271505,"about_ca_topic_score_gemma":0.00008511694,"domain_scores_codex":[0.9978856,0.000354043,0.0006391564,0.000454566,0.0003936463,0.0002729551],"domain_scores_gemma":[0.9984429,0.00003465828,0.0004560773,0.000497256,0.000395052,0.0001740101],"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":[0.001241713,0.0002500437,0.04960907,0.0001615128,0.00001499337,0.000003119945,0.00002453716,0.00008811703,0.9016617,0.000009812101,0.00002898233,0.04690639],"study_design_scores_gemma":[0.01034167,0.002713774,0.3841227,0.00006865611,0.0001105528,0.000007256424,0.00003135132,0.08192857,0.5197049,0.0002297998,0.0002661495,0.0004746115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974586,0.0003744132,0.0004329175,0.000132624,0.000154497,0.001283933,0.00001376409,0.0000126778,0.0001365164],"genre_scores_gemma":[0.9974189,0.0002304835,0.00175764,0.00004077045,0.0003253346,0.00008731172,0.00009211031,0.00002403281,0.00002343215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819568,"threshold_uncertainty_score":0.6604246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0853104017071708,"score_gpt":0.4429966333482629,"score_spread":0.3576862316410921,"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."}}