{"id":"W3015983906","doi":"10.1016/j.jchromb.2020.122093","title":"SEC hyphenated to a multielement-specific detector unravels the degradation pathway of a bimetallic anticancer complex in human plasma","year":2020,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Chemistry; Bimetallic strip; Inductively coupled plasma; Context (archaeology); Chromatography; In vivo; Elution; Human plasma; Degradation (telecommunications); Size-exclusion chromatography; Inductively coupled plasma atomic emission spectroscopy; Metal; Plasma; Biochemistry; Organic chemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000372943,0.000368851,0.0002183139,0.0004188905,0.0002805419,0.0003639735,0.0002633106,0.0006741578,0.002196781],"category_scores_gemma":[0.000474209,0.0002385861,0.0001982447,0.0002299693,0.0002389246,0.0002858805,0.0002271092,0.0009692605,0.0009897556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633362,"about_ca_system_score_gemma":0.0003539467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006208579,"about_ca_topic_score_gemma":0.0006815045,"domain_scores_codex":[0.9997876,0.00003998839,0.00001146272,0.00007811908,0.00004844828,0.00003442323],"domain_scores_gemma":[0.9998459,0.00005954089,0.00001668992,0.00002627783,0.00002585691,0.00002572331],"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":[0.000208512,0.00002162774,0.0005321028,0.00003195821,0.00001712436,0.00009564583,0.00005954051,0.00007069633,0.9937138,0.0003481661,0.0001949821,0.004705802],"study_design_scores_gemma":[0.000008657502,0.0001456416,0.002455299,0.000006074554,0.00001725381,0.0007345544,0.00003336884,0.002541329,0.9899668,0.0002026324,0.003880079,0.000008502553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049112,0.004774248,0.08249611,0.0009655523,0.0002076158,0.00005823192,0.0006989947,0.0008600102,0.00502796],"genre_scores_gemma":[0.9506258,0.001314134,0.03608696,0.0004736006,0.00004379236,0.00004070895,0.0009329975,0.0001590805,0.01032292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002196781,"threshold_uncertainty_score":0.007349014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387781369610145,"score_gpt":0.2687657494401655,"score_spread":0.229987612479151,"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."}}