{"id":"W2554222525","doi":"10.1039/9781782626732-00015","title":"<i>De novo</i> Peptide Sequencing","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Section (typography); Computational biology; Software; Computer science; Peptide; DNA sequencing; Process (computing); Biology; Genetics; Biochemistry; Programming language; 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":[0.0006146485,0.000932163,0.0008566456,0.001415848,0.000744297,0.002534355,0.001386232,0.001002286,0.03652506],"category_scores_gemma":[0.0007995825,0.0006263413,0.0005486432,0.001879315,0.0008232402,0.002852163,0.001446802,0.003206033,0.04832259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008302978,"about_ca_system_score_gemma":0.0007296177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004842406,"about_ca_topic_score_gemma":0.0008268342,"domain_scores_codex":[0.9994724,0.00004381279,0.00002804708,0.0001449173,0.0002843459,0.00002643163],"domain_scores_gemma":[0.9996997,0.00009878708,0.00002285475,0.00004364536,0.0001081824,0.00002681151],"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":[0.00006966517,0.00006275587,0.0001149957,0.002356098,0.00002365904,0.0001999285,0.0003801821,0.0008664337,0.03506089,0.08591965,0.2830456,0.5919002],"study_design_scores_gemma":[0.000001629711,0.000009905358,0.00006515224,0.0001318095,0.000002320049,0.0002659115,0.00001387682,0.0001696548,0.004726024,0.006815552,0.9877877,0.00001053407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002841293,0.2117179,0.2732185,0.005346555,0.0110214,0.0003983899,0.003101855,0.005655853,0.4866982],"genre_scores_gemma":[0.01288046,0.1763077,0.1793577,0.005013005,0.002691172,0.0002955031,0.006190072,0.002881559,0.6143829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03652506,"threshold_uncertainty_score":0.1221885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962400967964,"score_gpt":0.256001965400122,"score_spread":0.236377955720482,"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."}}