{"id":"W1996792890","doi":"10.1385/mb:22:3:301","title":"Searching Sequence Databases via De Novo Peptide Sequencing by Tandem Mass Spectrometry","year":2002,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Sequence database; Sequence (biology); Tandem mass spectrometry; Database; Computational biology; Mass spectrometry; Peptide sequence; Computer science; Peptide; Sequence analysis; Biology; Chemistry; Genetics; DNA; Biochemistry; Chromatography; Gene","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":[0.001244051,0.002055829,0.0027373,0.004283444,0.001024783,0.001748543,0.001612842,0.001089421,0.003782461],"category_scores_gemma":[0.004194288,0.001202775,0.001043777,0.00418491,0.0003121241,0.002460138,0.0009925715,0.001667535,0.005092843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189706,"about_ca_system_score_gemma":0.001086588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008165541,"about_ca_topic_score_gemma":0.001523498,"domain_scores_codex":[0.9992948,0.00008779354,0.0001395094,0.0002215582,0.0002059277,0.00005035433],"domain_scores_gemma":[0.9982673,0.0007487535,0.0002822599,0.0001993008,0.0003805147,0.0001218241],"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":[0.001549255,0.0003611811,0.002489412,0.003378171,0.0003907038,0.002043352,0.0002230696,0.001676194,0.8339751,0.001975294,0.005820108,0.1461181],"study_design_scores_gemma":[0.0006494414,0.001378798,0.01337202,0.0004350992,0.001919727,0.01119702,0.0005816416,0.07257777,0.7579931,0.0111444,0.1285086,0.000242542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3031497,0.01555815,0.6336733,0.001211698,0.0004646307,0.001383011,0.02008844,0.01820639,0.00626477],"genre_scores_gemma":[0.165228,0.01334736,0.7537121,0.0007443465,0.0002568753,0.0006688515,0.06211868,0.001163971,0.002759768],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004283444,"threshold_uncertainty_score":0.01265359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333560432786018,"score_gpt":0.280326696736767,"score_spread":0.2569910924089068,"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."}}