{"id":"W2537447655","doi":"10.1007/978-1-4939-6439-0_14","title":"Cleavable Linkers in Chemical Proteomics Applications","year":2016,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Scholarship Council; Javna Agencija za Raziskovalno Dejavnost RS; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Computational biology; Identification (biology); Mass spectrometry; Chemical biology; Profiling (computer programming); Chemistry; Nanotechnology; Computer science; Biology; Biochemistry; Chromatography; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006030998,0.0004116205,0.001256907,0.000215277,0.00002812048,0.00001050826,0.00077177,0.001239202,0.00008221139],"category_scores_gemma":[0.0001757256,0.0003492682,0.000288989,0.000428105,0.0001829528,0.00001739946,0.0002936174,0.0009462044,0.00002817644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334047,"about_ca_system_score_gemma":0.0001609615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019706,"about_ca_topic_score_gemma":0.000001114408,"domain_scores_codex":[0.9974989,0.0002629491,0.0008783143,0.000845847,0.00005066986,0.0004633712],"domain_scores_gemma":[0.9982547,0.000323232,0.0003567337,0.0009646063,0.00002972965,0.00007096153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002610564,0.00004793406,0.000003114212,0.001330484,0.00001789553,0.000003579885,0.000002763903,4.173494e-7,0.08635822,0.006132996,0.000008328666,0.9060916],"study_design_scores_gemma":[0.000133188,0.000005834916,1.016056e-8,0.00146014,0.00003167288,0.00001524313,0.000001763501,0.000006631101,0.05419634,0.0289293,0.9148479,0.0003720497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[5.382239e-7,0.4570835,0.5401231,0.00002339216,0.000009839602,0.000774683,0.0000420333,0.00005592052,0.001887019],"genre_scores_gemma":[5.99665e-8,0.4867811,0.5067672,0.00001962573,0.00003967898,0.006175202,0.00008463022,0.00004707417,0.00008549156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9148395,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943557140096966,"score_gpt":0.4657575820505661,"score_spread":0.4263220106495964,"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."}}