{"id":"W2128564638","doi":"10.1021/pr300014s","title":"Interlaboratory Reproducibility of Selective Reaction Monitoring Assays Using Multiple Upfront Analyte Enrichment Strategies","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Analyte; Reproducibility; Multiplex; Mass spectrometry; Chromatography; Selected reaction monitoring; Immunoassay; Sample preparation; Chemistry; Tandem mass spectrometry; Medicine; Bioinformatics; Biology; Antibody","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0464028,0.001743592,0.001314798,0.002493598,0.001292818,0.002559586,0.002186224,0.001683044,0.0007597741],"category_scores_gemma":[0.05399479,0.001102266,0.001559186,0.002167981,0.002472464,0.000832183,0.002774671,0.001351461,0.0008273957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227274,"about_ca_system_score_gemma":0.001491796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239166,"about_ca_topic_score_gemma":0.003138172,"domain_scores_codex":[0.8926209,0.03476817,0.01151906,0.02287526,0.03636055,0.001856045],"domain_scores_gemma":[0.9451613,0.02232515,0.00670118,0.01247066,0.01279482,0.0005469114],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002562854,0.001052176,0.1028445,0.001122983,0.002751807,0.0002841931,0.002456077,0.006097296,0.8080657,0.001166537,0.001506727,0.07008917],"study_design_scores_gemma":[0.0002306831,0.004387509,0.1801835,0.0002495138,0.001640093,0.0009375854,0.000542676,0.01851309,0.7815363,0.001372841,0.01009633,0.0003099014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7307559,0.00641698,0.2486611,0.000569361,0.0009324687,0.001646528,0.001725427,0.002236848,0.007055327],"genre_scores_gemma":[0.8482925,0.0009304868,0.1408283,0.0009400415,0.0001953603,0.002378442,0.003472909,0.0004286988,0.002533307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9535972,"threshold_uncertainty_score":0.2454044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131721614706311,"score_gpt":0.4223994220565561,"score_spread":0.309227260585925,"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."}}