{"id":"W2089741236","doi":"10.1007/s00775-008-0424-1","title":"Simultaneous Cu-, Fe-, and Zn-specific detection of metalloproteins contained in rabbit plasma by size-exclusion chromatography–inductively coupled plasma atomic emission spectroscopy","year":2008,"lang":"en","type":"article","venue":"JBIC Journal of Biological Inorganic Chemistry","topic":"Trace Elements in Health","field":"Nursing","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"University of Calgary","keywords":"Chemistry; Metalloprotein; Inductively coupled plasma; Size-exclusion chromatography; Ceruloplasmin; Chromatography; Transferrin; Zinc; Atomic emission spectroscopy; Inductively coupled plasma atomic emission spectroscopy; Blood proteins; Copper; Albumin; Metal; Analytical Chemistry (journal); Plasma; Enzyme; Biochemistry","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":[0.0008508352,0.0008494686,0.000420942,0.0003845224,0.0003383042,0.0003666904,0.0005303369,0.000459871,0.0008152098],"category_scores_gemma":[0.0007617736,0.0004442677,0.0003810383,0.0003037615,0.0005396941,0.0004695544,0.0004217053,0.0009575179,0.0003777773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071176,"about_ca_system_score_gemma":0.0003368282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007492619,"about_ca_topic_score_gemma":0.001429099,"domain_scores_codex":[0.9994878,0.00009865308,0.00003588673,0.0001569102,0.0001294993,0.00009124022],"domain_scores_gemma":[0.9993899,0.0001677039,0.00009261109,0.00008880181,0.0001800492,0.00008097504],"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":[0.00007856174,0.000006966263,0.0001088226,0.00002482064,0.000004117817,0.00001324555,0.0000274801,0.000007689141,0.9988621,0.0000810827,0.00002382934,0.0007610974],"study_design_scores_gemma":[0.00001863691,0.00007383241,0.001653518,0.000004280268,0.00001346729,0.0002436963,0.00001978349,0.0004592235,0.9963799,0.0001286749,0.0009997077,0.000005405876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792643,0.006390234,0.2076884,0.0004753982,0.0001843244,0.0001269583,0.000406961,0.0008963312,0.004567197],"genre_scores_gemma":[0.8897232,0.002634148,0.09801087,0.0002239891,0.000084033,0.0002517774,0.000707399,0.0001421163,0.0082224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008508352,"threshold_uncertainty_score":0.004499733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451855855107104,"score_gpt":0.2546733668862102,"score_spread":0.2401548083351392,"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."}}