{"id":"W2081639753","doi":"10.1021/ac0111006","title":"Sequencing of Argentinated Peptides by Means of Matrix-Assisted Laser Desorption/Ionization Tandem Mass Spectrometry","year":2002,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Chemistry; Mass spectrometry; Protein mass spectrometry; Peptide; Tandem mass spectrometry; Chromatography; Matrix-assisted laser desorption/ionization; Electrospray ionization; Bovine serum albumin; Sample preparation in mass spectrometry; Desorption; Ion; Protonation; Analytical Chemistry (journal); Biochemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004610957,0.0008309005,0.0006659438,0.0006884388,0.0004052273,0.0004752759,0.0004400092,0.0004243665,0.001682414],"category_scores_gemma":[0.0008925654,0.0003189882,0.000506706,0.0005876161,0.0002419598,0.0005219491,0.0003850812,0.0006786906,0.001397298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196438,"about_ca_system_score_gemma":0.0004022545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005391804,"about_ca_topic_score_gemma":0.000866494,"domain_scores_codex":[0.9996979,0.00004400627,0.00003046633,0.00008236679,0.0001082799,0.00003692323],"domain_scores_gemma":[0.999281,0.0001452346,0.0001475358,0.000058793,0.0002697932,0.00009754419],"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":[0.0001022719,0.00001239024,0.0001676647,0.0000532255,0.000008049823,0.0001130814,0.00002146345,0.0000367011,0.996911,0.00003716075,0.00004012697,0.002496802],"study_design_scores_gemma":[0.00005242266,0.0003324852,0.009895355,0.00003101582,0.00006525362,0.002365518,0.0000757637,0.002438622,0.9765807,0.0002329357,0.007900615,0.00002927376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8244703,0.00527209,0.1611013,0.000335946,0.0001540513,0.0003199034,0.003764136,0.0006367158,0.00394566],"genre_scores_gemma":[0.6449917,0.008181253,0.3201181,0.0004656567,0.0001227961,0.0005979234,0.01626633,0.0006075632,0.008648643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001682414,"threshold_uncertainty_score":0.005628169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899884545321933,"score_gpt":0.2554544037762452,"score_spread":0.2364555583230259,"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."}}