{"id":"W2057762488","doi":"10.1021/ac051639u","title":"Correlation and Convolution Analysis of Peptide Mass Spectra","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemistry; Mass spectrometry; Convolution (computer science); Peptide; Biological system; Tandem mass spectrometry; Mass spectrum; Noise (video); Ion; Proteomics; Algorithm; Computational biology; Analytical Chemistry (journal); Computer science; Chromatography; Artificial intelligence; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004597313,0.00009461778,0.0001955912,0.00003073539,0.00003913702,0.00001039035,0.0000724242,0.0001149376,0.0005141693],"category_scores_gemma":[0.00002209556,0.00009992814,0.0001011309,0.0003028514,0.0001117415,0.00003637237,0.00002069318,0.0001237106,0.000001972746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004626188,"about_ca_system_score_gemma":0.00001219297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004504162,"about_ca_topic_score_gemma":0.000002619817,"domain_scores_codex":[0.9992924,0.000002083392,0.0002564502,0.0002156722,0.0001100747,0.0001233532],"domain_scores_gemma":[0.99951,0.00005084738,0.0001106568,0.0002291157,0.00005260126,0.00004676325],"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":[0.00002053652,0.00009039474,0.07808802,0.0001062947,0.0002476524,0.00000238749,0.000007451166,0.002008318,0.9017012,0.01721274,0.0003094993,0.0002055141],"study_design_scores_gemma":[0.0002315167,0.000005124064,0.005136516,0.00002000852,0.001106181,0.000003814298,0.000039666,0.23163,0.7448978,0.01534123,0.001341778,0.0002463277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7459984,0.00009938791,0.1516805,0.0001209225,0.000002727308,0.00004499274,0.00008821081,0.00009639133,0.1018684],"genre_scores_gemma":[0.9908889,0.00002166929,0.005977288,0.000007425145,0.00004647592,0.00001094151,0.0002413115,0.000008069405,0.002797915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2448905,"threshold_uncertainty_score":0.5629793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006565175324876837,"score_gpt":0.2480766108042301,"score_spread":0.2415114354793533,"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."}}