{"id":"W2086675122","doi":"10.1080/02648725.2006.10648076","title":"LC-MS-based Protein and Peptide Quantification Using Stable Isotope Labels: From ICAT in General to Differential N-terminal Coding (dNIC) in Particular","year":2006,"lang":"en","type":"review","venue":"Biotechnology and Genetic Engineering Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Canadian Institute for Theoretical Astrophysics","keywords":"Peptide; Chemistry; Coding (social sciences); Differential (mechanical device); Terminal (telecommunication); Chromatography; Biochemistry; Computer science; Mathematics; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009642365,0.001853036,0.001493946,0.001584784,0.0002069372,0.0007528192,0.001688038,0.001062844,0.00160765],"category_scores_gemma":[0.0003950043,0.0005825915,0.0004527791,0.001750361,0.0008022246,0.001511087,0.0005785498,0.001491958,0.004135499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006310196,"about_ca_system_score_gemma":0.0005580484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005259787,"about_ca_topic_score_gemma":0.0009428836,"domain_scores_codex":[0.9996226,0.00002639466,0.0000222267,0.0001093153,0.0001974618,0.00002191716],"domain_scores_gemma":[0.9997265,0.00008322571,0.00003997778,0.00002346605,0.0001072117,0.00001967628],"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":[0.00009207341,0.00006685674,0.0001431672,0.003643719,0.00004743819,0.000132058,0.00002635588,0.0004428449,0.2480518,0.003092181,0.007553948,0.7367075],"study_design_scores_gemma":[0.00002856323,0.000264772,0.001096338,0.000472974,0.0001156043,0.002419764,0.00003467985,0.001921984,0.3611664,0.003177718,0.6292192,0.00008214143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003825758,0.9027938,0.08051559,0.0006212285,0.001318298,0.00009305244,0.0002827756,0.0008393798,0.009710043],"genre_scores_gemma":[0.01110068,0.9078056,0.06144625,0.00154703,0.0007560861,0.000119854,0.0007380265,0.0001306605,0.01635576],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001853036,"threshold_uncertainty_score":0.005378127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676133887246166,"score_gpt":0.3054798097627132,"score_spread":0.2687184708902516,"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."}}