{"id":"W3021604588","doi":"10.1016/j.jchromb.2020.122147","title":"Sample preparation of blood plasma enables baseline separation of iron metalloproteins by SEC-GFAAS","year":2020,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Mass spectrometry; Sample preparation; Metalloprotein; Inductively coupled plasma mass spectrometry; Inductively coupled plasma; Transferrin; Analytical Chemistry (journal); Plasma; Metal; 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":[0.00123982,0.001098062,0.0007550875,0.0005617086,0.0005848277,0.0006470682,0.0005237614,0.0009091786,0.005302428],"category_scores_gemma":[0.001826565,0.0003497154,0.0002902455,0.0004261983,0.0005474313,0.0004641812,0.0004714673,0.001567721,0.003455262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092249,"about_ca_system_score_gemma":0.0006980823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006210846,"about_ca_topic_score_gemma":0.0009060894,"domain_scores_codex":[0.9989296,0.0002553732,0.0001000977,0.0002850574,0.0002622428,0.0001676533],"domain_scores_gemma":[0.9993912,0.000214793,0.00004620011,0.0001508099,0.0001366893,0.00006031679],"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":[0.0005611703,0.0001260206,0.000910481,0.0001318225,0.00002496543,0.0001564922,0.0001306572,0.00004213208,0.9833333,0.0004376759,0.001474625,0.01267068],"study_design_scores_gemma":[0.00005105909,0.0004653332,0.007365514,0.00004396811,0.00003854458,0.0007625509,0.00006327846,0.001539478,0.9722136,0.0006115004,0.01682406,0.00002105983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5331199,0.009435866,0.4311863,0.0024497,0.001627598,0.001766688,0.004051563,0.006788253,0.009574099],"genre_scores_gemma":[0.6832217,0.004899405,0.2844611,0.002538485,0.0005669611,0.002774627,0.008273212,0.001099453,0.01216499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005302428,"threshold_uncertainty_score":0.0177384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129154234345025,"score_gpt":0.2717820940930548,"score_spread":0.2604905517496045,"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."}}