{"id":"W2008515218","doi":"10.1586/epr.09.44","title":"Analysis of the plasma metalloproteome by SEC–ICP-AES: bridging proteomics and metabolomics","year":2009,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Centers for Disease Control and Prevention","keywords":"Chemistry; Proteomics; Context (archaeology); Inductively coupled plasma atomic emission spectroscopy; Blood proteins; Inductively coupled plasma; Mass spectrometry; Metalloprotein; Chromatography; Human blood; Plasma; Biochemistry; Enzyme; Biology; Physiology","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"],"consensus_categories":[],"category_scores_codex":[0.0009133909,0.0009065826,0.005525032,0.0003488784,0.0001417073,0.00005005594,0.00157122,0.0005646247,0.0006331374],"category_scores_gemma":[0.0003116322,0.0006248344,0.002395038,0.002447312,0.0003252276,0.0001008268,0.0004480494,0.0008824136,0.000001948328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210724,"about_ca_system_score_gemma":0.0002869622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004338127,"about_ca_topic_score_gemma":0.000003160238,"domain_scores_codex":[0.9953793,0.0001777286,0.002473518,0.0009259813,0.0005889232,0.0004545438],"domain_scores_gemma":[0.994123,0.0001303259,0.003275142,0.002126247,0.0001996635,0.0001456148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001388025,0.0004404128,0.00001126544,0.2408252,0.005980749,0.000002017444,0.00008572323,0.000001382096,0.01265624,0.007034961,0.002514333,0.7304338],"study_design_scores_gemma":[0.0001416282,0.00003582089,5.862486e-7,0.04670044,0.009689515,0.00002951525,0.000008001517,0.0001547047,0.01742416,0.0001688366,0.9248938,0.000753015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005306833,0.9926388,0.001414622,0.0001972207,0.0000290339,0.003738633,0.0006144403,0.00007899745,0.001235216],"genre_scores_gemma":[0.0000129313,0.9455657,0.0515658,0.000142356,0.00009892637,0.001865372,0.0003436974,0.00009534532,0.0003098662],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9223794,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862889260744995,"score_gpt":0.3206376727582014,"score_spread":0.3020087801507515,"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."}}