{"id":"W3164429960","doi":"10.1002/mas.21706","title":"Recent advances in top‐down proteome sample processing ahead of MS analysis","year":2021,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Energy; Dalhousie University","funders":"","keywords":"Proteomics; Proteome; Workflow; Computational biology; Chemistry; Characterization (materials science); Function (biology); Human proteome project; Nanotechnology; Computer science; Biology; Biochemistry; Gene; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006535015,0.000691205,0.005141443,0.000712022,0.00007669364,0.00005704346,0.000776741,0.0003895243,0.002365834],"category_scores_gemma":[0.0004294984,0.0005786474,0.001311238,0.006934951,0.00007689121,0.0001702622,0.0001678429,0.0009108369,0.00001557742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528319,"about_ca_system_score_gemma":0.0002273773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293042,"about_ca_topic_score_gemma":0.00002718319,"domain_scores_codex":[0.9956247,0.0001369403,0.002321382,0.001063643,0.0003291037,0.0005241819],"domain_scores_gemma":[0.9961814,0.0001668084,0.002019136,0.001397569,0.0001195552,0.0001155725],"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":[0.000001575064,0.0001056506,0.00004678805,0.03203767,0.0001085081,0.000003604803,0.000007571948,0.000002151256,0.0001652405,0.000237211,0.00002342826,0.9672606],"study_design_scores_gemma":[0.00006894134,0.00001547613,4.485422e-7,0.01484088,0.001316955,0.000007306484,0.000007618368,0.0000084848,0.0008191749,0.0008061791,0.9815827,0.0005258418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001441802,0.96219,0.0319504,0.00003219529,0.00001744374,0.001528905,0.0001959941,0.0000781015,0.004005569],"genre_scores_gemma":[7.336315e-7,0.8300608,0.1665053,0.00000994429,0.0001123306,0.002390299,0.0006095343,0.00006431972,0.000246729],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9815593,"threshold_uncertainty_score":0.9996665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470802010112216,"score_gpt":0.3770227709471039,"score_spread":0.3299425699358823,"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."}}