{"id":"W2063032614","doi":"10.1016/s1056-8719(02)00203-4","title":"Gel electrophoresis–autoradiographic image analysis of radiolabeled protein drug concentration in serum for pharmacokinetic studies","year":2002,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Pharmacokinetics; Trichloroacetic acid; Chromatography; Chemistry; Polyacrylamide gel electrophoresis; Gel electrophoresis; Albumin; Protein precipitation; Molecular-weight size marker; Blood proteins; Two-dimensional gel electrophoresis; Gel electrophoresis of proteins; High-performance liquid chromatography; Pharmacology; Biochemistry; Proteomics; Medicine","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":[0.001064272,0.001919127,0.001082374,0.003280366,0.00138019,0.0009518783,0.001045761,0.001100759,0.01187762],"category_scores_gemma":[0.0008622672,0.0008714172,0.001268181,0.001905487,0.001045613,0.0009007161,0.0004655906,0.002741463,0.003570831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009612367,"about_ca_system_score_gemma":0.001159712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005057575,"about_ca_topic_score_gemma":0.007408261,"domain_scores_codex":[0.9992862,0.000141251,0.00006991813,0.0001804073,0.0001261486,0.0001959977],"domain_scores_gemma":[0.9986953,0.000423099,0.0001255666,0.0001671833,0.0004782953,0.0001105678],"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":[0.0003841248,0.00009718019,0.0001761321,0.0002527407,0.00003276488,0.0001392132,0.00009268101,0.0000782725,0.9950546,0.0004454317,0.0002712963,0.002975616],"study_design_scores_gemma":[0.00004387014,0.0002475839,0.005792152,0.00004087868,0.0001178407,0.000696043,0.0001292227,0.002231205,0.9844838,0.0002806823,0.005907065,0.00002964204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4399128,0.01190896,0.4948417,0.003129063,0.001528488,0.001144067,0.006399544,0.006249967,0.03488539],"genre_scores_gemma":[0.4270521,0.01336915,0.5011072,0.001183247,0.0004395409,0.002755386,0.008312333,0.002274164,0.04350683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187762,"threshold_uncertainty_score":0.0397346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899864257815908,"score_gpt":0.425493397867827,"score_spread":0.3664947552896679,"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."}}