{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003966949,0.0001318822,0.0002635272,0.0003565395,0.000291012,0.00009174317,0.000497364,0.000174852,0.0001153296],"category_scores_gemma":[0.001798101,0.0001184545,0.0001704937,0.0007596414,0.00009099457,0.0002098961,0.0001322825,0.0006923356,0.00001649903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484497,"about_ca_system_score_gemma":0.0002534014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008709537,"about_ca_topic_score_gemma":6.653143e-7,"domain_scores_codex":[0.9980775,0.0001214324,0.0006184936,0.0002428152,0.0004495096,0.0004902637],"domain_scores_gemma":[0.9970523,0.0009270348,0.0003901163,0.0003629372,0.001112927,0.0001546859],"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":[0.0002263268,0.0001198154,0.0000248301,0.0002153816,0.00001788112,0.00000178064,0.0001225972,0.00009731053,0.9906444,0.0006512752,0.001592828,0.006285588],"study_design_scores_gemma":[0.0004419748,0.0003254622,0.000004106498,0.00005514946,0.000007823449,0.00001124629,0.0001060125,0.003602704,0.8862068,0.06694294,0.04218189,0.0001138856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07882068,0.0001338792,0.9173325,0.000895041,0.00003688896,0.001640564,0.00005307621,0.000114873,0.0009724511],"genre_scores_gemma":[0.02903438,0.0001207829,0.967335,0.00000854623,0.0003761038,0.00131279,0.00003209397,0.00005369846,0.001726568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1044376,"threshold_uncertainty_score":0.4830436,"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."}}