{"id":"W2462090486","doi":"10.1002/pmic.201500251","title":"<i>De novo</i> peptide sequencing using CID and HCD spectra pairs","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electron-transfer dissociation; Chemistry; Spectral line; Mass spectrometry; Mass spectrum; Tandem mass spectrometry; Fragmentation (computing); Dissociation (chemistry); Peptide; Collision-induced dissociation; Analytical Chemistry (journal); Chromatography; Computer science; Physics; Biochemistry; Physical chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001261338,0.0001221295,0.0001192242,0.00003434502,0.00009728967,0.00004427237,0.0001335754,0.00008591016,0.0007431089],"category_scores_gemma":[0.00003834999,0.00009854764,0.00004031435,0.00008460537,0.00005899554,0.00007301482,0.00006496974,0.000121078,0.000006970695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288509,"about_ca_system_score_gemma":0.00007809752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005752551,"about_ca_topic_score_gemma":0.000003883868,"domain_scores_codex":[0.9992359,0.000006134866,0.0001605381,0.000244195,0.00008532639,0.0002679115],"domain_scores_gemma":[0.9994954,0.0000339883,0.00007899942,0.0002818482,0.00002402072,0.00008568438],"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":[0.000005201518,0.00001092688,0.002682798,0.00003645669,0.000007137966,0.000003725471,0.00003564949,0.000001356854,0.9874055,0.008725164,0.00004714015,0.00103892],"study_design_scores_gemma":[0.000187155,0.00001022956,0.00004268773,0.00007043349,0.00001174875,0.0001001611,0.00003545853,0.0004170343,0.9790856,0.01704922,0.002809527,0.0001807693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238855,0.00004368254,0.04717322,0.0005137231,0.000008572929,0.0001670357,0.00002771486,0.0002417124,0.02793886],"genre_scores_gemma":[0.8565742,0.00008079975,0.1422568,0.00006695979,0.0001453548,0.00005947698,0.000001829202,0.00002791322,0.0007866391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09508355,"threshold_uncertainty_score":0.8136522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170294249319785,"score_gpt":0.2515967918297888,"score_spread":0.229893849336591,"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."}}