{"id":"W1988452918","doi":"10.1039/b414246b","title":"Identification of selenomethionine in selenized yeast using two-dimensional liquid chromatography-mass spectrometry based proteomic analysis","year":2004,"lang":"en","type":"article","venue":"The Analyst","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selenium; Mass spectrometry; Yeast; Chemistry; Chromatography; Proteome; Methionine; Liquid chromatography–mass spectrometry; Metabolomics; Proteomics; Biochemistry; Amino acid; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002923258,0.0005349011,0.0004681201,0.0005685632,0.000351961,0.0006261942,0.0004013247,0.0004110349,0.0006775912],"category_scores_gemma":[0.0004010029,0.0001807532,0.0003667378,0.0004796878,0.000265334,0.0002581644,0.0003821666,0.0007040067,0.0005811684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212303,"about_ca_system_score_gemma":0.0003698483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009491596,"about_ca_topic_score_gemma":0.001498874,"domain_scores_codex":[0.9998305,0.00002202864,0.00002069533,0.00004042628,0.0000669788,0.00001928962],"domain_scores_gemma":[0.9998141,0.00005372471,0.00002501617,0.00002395159,0.00005860023,0.0000245968],"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":[0.0000601684,0.00001199472,0.000149095,0.00002635775,0.000005612959,0.0000560015,0.00002064377,0.00002527888,0.9985406,0.0000501357,0.00002397571,0.001030202],"study_design_scores_gemma":[0.000007062297,0.00007857421,0.002568675,0.00000610497,0.00001466923,0.0002534438,0.00005868073,0.0007840164,0.9941346,0.00007767486,0.002005717,0.00001076988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246055,0.002906535,0.06607712,0.0003678333,0.0001275368,0.0001974302,0.00310366,0.0009507181,0.001663622],"genre_scores_gemma":[0.8304388,0.005775747,0.1447403,0.0003907896,0.00005298324,0.0004192197,0.008026551,0.0004432591,0.009712359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009491596,"threshold_uncertainty_score":0.002266765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776902634514383,"score_gpt":0.279569871655493,"score_spread":0.2618008453103491,"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."}}