{"id":"W2316496582","doi":"10.1021/ac203141d","title":"Protein Quantitation Using Ru-NHS Ester Tagging and Isotope Dilution High-Pressure Liquid Chromatography–Inductively Coupled Plasma Mass Spectrometry Determination","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Isotope dilution; Inductively coupled plasma mass spectrometry; Chromatography; Mass spectrometry; Dilution; Liquid chromatography–mass spectrometry; Analytical Chemistry (journal)","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":[0.001773849,0.001978997,0.001033884,0.001318746,0.0005485989,0.0009182929,0.001824867,0.001354107,0.0008881324],"category_scores_gemma":[0.00157115,0.0007857648,0.0008409843,0.001208755,0.0008806977,0.0008047029,0.0008605717,0.001617326,0.001651344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009431518,"about_ca_system_score_gemma":0.0005897858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000809,"about_ca_topic_score_gemma":0.001374424,"domain_scores_codex":[0.9967523,0.0005142015,0.000185724,0.00081107,0.001553854,0.0001829809],"domain_scores_gemma":[0.9991559,0.0002041156,0.0001626495,0.0001115908,0.0003219681,0.00004378655],"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":[0.000034984,0.00002266291,0.00009282432,0.00007645036,0.00001153091,0.0000281898,0.00002002869,0.0001198613,0.9952949,0.00008869649,0.00008607185,0.004123822],"study_design_scores_gemma":[0.000007630387,0.0001020933,0.0008928278,0.000008303634,0.00002135943,0.0001827688,0.00001340829,0.00380445,0.9913345,0.0001501995,0.003463809,0.00001857268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2036704,0.0101648,0.7743294,0.0003260956,0.0002784863,0.000546317,0.001604618,0.005367977,0.003712018],"genre_scores_gemma":[0.339489,0.009871351,0.631797,0.0004362634,0.0001642779,0.001811328,0.003738337,0.0007984779,0.01189403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001978997,"threshold_uncertainty_score":0.009381115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747444021750582,"score_gpt":0.2832734983933386,"score_spread":0.2657990581758328,"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."}}