{"id":"W3095311172","doi":"10.1021/acsomega.0c04568","title":"Comprehensive Analysis of Low Molecular Weight Serum Proteome Enrichment for Mass Spectrometric Studies","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Centre for Treatment, Research and Education in Cancer; Terry Fox Foundation; University Grants Commission","keywords":"Chemistry; Chromatography; Proteome; Mass spectrometry; Proteomics; Molecular mass; Blood proteins; Protein precipitation; Tandem mass tag; Quantitative proteomics; Biochemistry; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000350282,0.0001572716,0.0004297138,0.0001644314,0.00005873564,0.000009947291,0.0002443167,0.00006322342,0.00002182299],"category_scores_gemma":[0.00005735776,0.0001504066,0.0001965217,0.001539327,0.00004986865,0.0000430484,0.00009299935,0.0001064709,0.000003105813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661875,"about_ca_system_score_gemma":0.00001590045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001876931,"about_ca_topic_score_gemma":2.274468e-7,"domain_scores_codex":[0.998997,0.000006328501,0.0003009816,0.0003290073,0.0001647747,0.0002019305],"domain_scores_gemma":[0.9990935,0.00008969444,0.0002018984,0.0003346307,0.0002090693,0.0000712441],"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":[0.00002611167,0.00005236465,0.0004768381,0.00034314,0.001349623,0.000002798141,0.0001141443,0.000463463,0.9943089,0.00228941,0.000162166,0.0004110497],"study_design_scores_gemma":[0.0002925549,0.0000619547,0.00008487902,0.00001356566,0.0004283584,3.076864e-7,0.0001433422,0.0008489804,0.9892785,0.003978544,0.004694596,0.0001744332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8048112,0.001725129,0.1895376,0.001981054,0.00001238229,0.0008569729,0.0003252803,0.0001629938,0.0005874032],"genre_scores_gemma":[0.9195296,0.0003002793,0.0791368,0.0002188634,0.00004125002,0.0005917391,0.00005531387,0.00002090902,0.0001052597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147184,"threshold_uncertainty_score":0.6133404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704586773512463,"score_gpt":0.307444076714232,"score_spread":0.2803982089791074,"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."}}