{"id":"W1996372164","doi":"10.1016/j.jprot.2013.10.014","title":"Microwave-assisted acid hydrolysis of proteins combined with peptide fractionation and mass spectrometry analysis for characterizing protein terminal sequences","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Sanofi Pasteur; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Peptide; Chemistry; Peptide sequence; Chromatography; Tandem mass spectrometry; Protein sequencing; Mass spectrometry; Bottom-up proteomics; Hydrolysate; Biochemistry; Protein mass spectrometry; Hydrolysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005848455,0.0005837729,0.0005076278,0.0005243656,0.0003323821,0.0002765333,0.0004250477,0.0003678619,0.0006931686],"category_scores_gemma":[0.0004030542,0.0002751789,0.0006198797,0.0006468653,0.0002941621,0.0004113235,0.0002867707,0.0009710339,0.000345279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129897,"about_ca_system_score_gemma":0.0002998755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005193227,"about_ca_topic_score_gemma":0.001381255,"domain_scores_codex":[0.99981,0.00003352056,0.00001450883,0.00004423287,0.00005150596,0.00004623504],"domain_scores_gemma":[0.9998362,0.00005724451,0.00002513497,0.00002085049,0.00003455406,0.00002596145],"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":[0.00007501323,0.00001467715,0.0001107562,0.00003266922,0.0000089756,0.00001355025,0.000009232254,0.00001959177,0.997761,0.00002940949,0.00001881617,0.001906351],"study_design_scores_gemma":[0.00001354421,0.0001722932,0.006356544,0.000006638735,0.00006826578,0.0002853719,0.00001882763,0.001026504,0.9905967,0.00008511928,0.001361536,0.000008716063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903327,0.007705109,0.09878238,0.0001990994,0.0001120982,0.0002476717,0.0006384453,0.0001493352,0.00183314],"genre_scores_gemma":[0.8783402,0.006548406,0.1086461,0.0002508843,0.00008528806,0.0002994812,0.002293486,0.00008529743,0.003450694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006931686,"threshold_uncertainty_score":0.003092945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144884850897229,"score_gpt":0.2494967055246189,"score_spread":0.2380478570156466,"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."}}