{"id":"W4309765403","doi":"10.1002/elps.202200257","title":"Quantitative assessment confirms deep proteome analysis by integrative top–down proteomics","year":2022,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Isoelectric focusing; Proteomics; Chemistry; Chromatography; Mass spectrometry; Tandem mass spectrometry; Resolution (logic); Quantitative proteomics; Two-dimensional gel electrophoresis; Computational biology; Computer science; Biochemistry; Biology; Artificial intelligence; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002343914,0.001650455,0.001023277,0.0007262086,0.0006165789,0.001777451,0.001197869,0.001019587,0.001304164],"category_scores_gemma":[0.002044993,0.0005434914,0.0005997205,0.00059027,0.00143822,0.001999213,0.001550953,0.003275988,0.001029694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006163139,"about_ca_system_score_gemma":0.0004918266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006159002,"about_ca_topic_score_gemma":0.0009587082,"domain_scores_codex":[0.9974332,0.0003917319,0.000147702,0.0007557183,0.001019545,0.0002520671],"domain_scores_gemma":[0.9984891,0.0003922638,0.0002323014,0.000332306,0.0004622026,0.00009175679],"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":[0.00004513514,0.00003102924,0.0002402262,0.0001485898,0.00002203211,0.00003552526,0.00007282967,0.0001188579,0.9948259,0.0003629065,0.0001657474,0.003931189],"study_design_scores_gemma":[0.000005037387,0.0001194764,0.002400649,0.00002953654,0.00003271571,0.00020973,0.00006935844,0.003152118,0.9890614,0.0005601746,0.004332595,0.00002731994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4051438,0.008050205,0.5732389,0.0009196827,0.0004393462,0.0003212368,0.002204301,0.002755694,0.006926797],"genre_scores_gemma":[0.557783,0.00959477,0.4198727,0.00122372,0.0001553193,0.0005583394,0.003621548,0.001249467,0.005941046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002343914,"threshold_uncertainty_score":0.01239592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006506711474050248,"score_gpt":0.2866855190196734,"score_spread":0.2801788075456232,"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."}}