{"id":"W2320416228","doi":"10.1109/tcbb.2015.2389813","title":"NovoExD: <italic>De novo</italic> Peptide Sequencing for ETD/ECD Spectra","year":2015,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Foundation","keywords":"Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003201878,0.0003211013,0.0003272614,0.0002221025,0.000393043,0.00008025903,0.0003384608,0.0003381758,0.0002302738],"category_scores_gemma":[0.00005764074,0.0003023384,0.0001610816,0.0002801158,0.0002204854,0.0002030988,0.00001382687,0.0003233208,0.00004296908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796842,"about_ca_system_score_gemma":0.0002668802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001468298,"about_ca_topic_score_gemma":0.00002381518,"domain_scores_codex":[0.9983771,0.0000212468,0.0006340621,0.0003144379,0.0002075861,0.0004455604],"domain_scores_gemma":[0.9984727,0.000457022,0.0002198899,0.0003791262,0.0002308534,0.0002404141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001291191,0.002628553,0.001425002,0.002493035,0.002139641,0.00003628981,0.007782909,0.08468593,0.2026045,0.5739217,0.01984413,0.1011471],"study_design_scores_gemma":[0.00584324,0.001614854,0.0003201404,0.0002688888,0.0004442433,0.001324724,0.001729349,0.504705,0.08151273,0.2957988,0.103965,0.002473073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.074762,0.00007889389,0.908605,0.001458083,0.0001752399,0.0004145368,0.001144638,0.0003835976,0.01297795],"genre_scores_gemma":[0.7158462,0.00006424569,0.2821876,0.0005362482,0.0001670634,0.0001652901,0.0004636302,0.00002745973,0.0005421783],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6410843,"threshold_uncertainty_score":0.9999429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292898694230986,"score_gpt":0.2919675063526077,"score_spread":0.2590385194102979,"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."}}