{"id":"W4366819350","doi":"10.1021/acs.jproteome.2c00429","title":"Sample Preparation Methods for Targeted Single-Cell Proteomics","year":2023,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Island Health; University of Victoria","funders":"China Scholarship Council; Genome British Columbia; Partnership for Clean Competition; Genome Canada; University of Washington","keywords":"Chromatography; Sample preparation; Hemoglobin; Chemistry; Proteomics; Red blood cell; Mass spectrometry; Isotope dilution; 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":[0.001590639,0.001379922,0.0008457082,0.0009966205,0.0008360314,0.0008831704,0.001514648,0.000922926,0.009360272],"category_scores_gemma":[0.00133535,0.0006147856,0.0005367289,0.0006297019,0.0004662466,0.0007878851,0.0007498068,0.001241794,0.005287901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004040048,"about_ca_system_score_gemma":0.0007008708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553626,"about_ca_topic_score_gemma":0.001134558,"domain_scores_codex":[0.9984516,0.000159708,0.0001661042,0.0006006315,0.0004923703,0.0001295061],"domain_scores_gemma":[0.9990394,0.000275214,0.00008317049,0.0002729025,0.0002685699,0.00006082673],"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":[0.0001272223,0.00007153852,0.0003111946,0.0002012817,0.00002210336,0.00006479604,0.00005529333,0.0002035231,0.9884027,0.0004860339,0.0008041394,0.009250165],"study_design_scores_gemma":[0.00003972983,0.0001993192,0.002183083,0.00002062517,0.00004336871,0.0002007349,0.0000340454,0.004563988,0.9790411,0.0003678122,0.0132678,0.00003841174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1426885,0.001346261,0.8315785,0.0005564084,0.0005407276,0.003742331,0.005768762,0.007772503,0.006005945],"genre_scores_gemma":[0.1381734,0.0018789,0.8294321,0.0005719776,0.0001584818,0.008673236,0.01080153,0.002078739,0.008231675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009360272,"threshold_uncertainty_score":0.03131324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529632185597447,"score_gpt":0.4985720960592611,"score_spread":0.3456088774995164,"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."}}