{"id":"W2806365473","doi":"10.1101/332668","title":"Limits for resolving tandem mass tag reporter ions with identical integer mass using phase constrained spectrum deconvolution","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Orbitrap; Tandem mass tag; Mass spectrometry; Chemistry; Deconvolution; Quantitative proteomics; Tandem mass spectrometry; Proteome; Isobaric labeling; Fragmentation (computing); Mass spectrum; Ion; Analytical Chemistry (journal); Proteomics; Chromatography; Computer science; Protein mass spectrometry; Algorithm; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.006057166,0.0007055054,0.0005264173,0.0008599153,0.000533906,0.002486815,0.001169796,0.00107918,0.001133532],"category_scores_gemma":[0.00781204,0.0004857474,0.0003601769,0.0005029018,0.001143731,0.002522666,0.001340266,0.001606351,0.0006490252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275192,"about_ca_system_score_gemma":0.0008526683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007134067,"about_ca_topic_score_gemma":0.0005919134,"domain_scores_codex":[0.9969627,0.00071833,0.0002520537,0.0005684653,0.001306517,0.0001918674],"domain_scores_gemma":[0.9948313,0.003145933,0.0008049126,0.000346832,0.0006959623,0.0001752088],"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":[0.0003159857,0.00005021113,0.0007717034,0.0001241491,0.00001645506,0.00004436444,0.0000743877,0.001554315,0.9842947,0.002029585,0.0001859305,0.01053836],"study_design_scores_gemma":[0.000008457875,0.00007129213,0.000565677,0.00002002079,0.00001032981,0.0001129524,0.0000339875,0.01428866,0.9824066,0.001038615,0.001420505,0.00002291978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314254,0.003782471,0.4587999,0.00086429,0.0001106141,0.0001097595,0.0002533437,0.001151603,0.003502719],"genre_scores_gemma":[0.6139993,0.001436252,0.3814425,0.0004700146,0.00004410954,0.0002418347,0.0005339602,0.0003422443,0.001489735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006057166,"threshold_uncertainty_score":0.03203368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458082776166969,"score_gpt":0.2837512234390187,"score_spread":0.259170395677349,"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."}}