{"id":"W4289261947","doi":"10.1016/j.talanta.2022.123786","title":"Towards single cell ICP-MS normalized quantitative experiments using certified selenized yeast","year":2022,"lang":"en","type":"article","venue":"Talanta","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Certified reference materials; Inductively coupled plasma mass spectrometry; Chromatography; Intracellular; Extracellular; Yeast; Sample preparation; Selenium; Repeatability; Mass spectrometry; Analytical Chemistry (journal); Biochemistry; Detection limit","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":[0.006076606,0.002316324,0.001468878,0.001263059,0.0006333433,0.001642676,0.002121355,0.001820702,0.002006511],"category_scores_gemma":[0.006144763,0.0008098458,0.001061879,0.001820921,0.001290288,0.001062136,0.001472591,0.001836054,0.001710201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032151,"about_ca_system_score_gemma":0.001167056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570448,"about_ca_topic_score_gemma":0.002319138,"domain_scores_codex":[0.993082,0.001480268,0.0004754811,0.00222158,0.002504848,0.0002358327],"domain_scores_gemma":[0.9975033,0.0006186197,0.0002047786,0.000501628,0.001133184,0.00003846873],"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":[0.00006076274,0.00005395852,0.0003274681,0.0003897016,0.0000311212,0.0000537698,0.0001071136,0.0004207193,0.9918949,0.0003826752,0.0001721196,0.006105693],"study_design_scores_gemma":[0.000003727105,0.0001235788,0.0006105012,0.00002565728,0.00003026558,0.0001053044,0.00006240331,0.00206687,0.9929811,0.0002920117,0.003681685,0.00001691599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1365016,0.003672645,0.8480638,0.0003092529,0.0004251052,0.0009891914,0.003073171,0.002925231,0.004039971],"genre_scores_gemma":[0.2377119,0.004591845,0.7421284,0.0003388186,0.0001010112,0.002522609,0.00490543,0.001111899,0.006588151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006076606,"threshold_uncertainty_score":0.03213656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017920946932763,"score_gpt":0.323367394814594,"score_spread":0.2215753001213177,"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."}}