{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000661,0.001044617,0.0006157723,0.001458822,0.0003719633,0.0006373482,0.0004749297,0.0005225574,0.0007446092],"category_scores_gemma":[0.0009186049,0.0001934432,0.0004669235,0.0009327795,0.0003618975,0.0003828506,0.0005855943,0.0005736686,0.0008584178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527709,"about_ca_system_score_gemma":0.0007216962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810065,"about_ca_topic_score_gemma":0.0005735669,"domain_scores_codex":[0.9993494,0.0001132265,0.00005519899,0.0001212092,0.0003022015,0.00005876793],"domain_scores_gemma":[0.9995053,0.0000793333,0.00009720666,0.000065284,0.0001916636,0.00006111146],"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":[0.00006293663,0.00003218829,0.001132375,0.0001581441,0.00001438855,0.000048032,0.00001311062,0.00007287331,0.9931785,0.00006989135,0.00006937946,0.005148086],"study_design_scores_gemma":[0.00001197607,0.000265052,0.01529846,0.00004316939,0.00007781161,0.0008845645,0.000028262,0.002040104,0.9753177,0.0002597247,0.005759614,0.00001363101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7216055,0.01293166,0.2544014,0.0006032854,0.0001278822,0.00110144,0.00367131,0.001592066,0.003965466],"genre_scores_gemma":[0.6376873,0.006863362,0.3433394,0.0007853847,0.0001276697,0.0008482135,0.007351178,0.0002973832,0.002700064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001458822,"threshold_uncertainty_score":0.005292058,"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."}}