{"id":"W2051981389","doi":"10.1021/pr050157w","title":"Simple and Robust Two-Layer Matrix/Sample Preparation Method for MALDI MS/MS Analysis of Peptides","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Sample preparation; Chromatography; Chemistry; Matrix-assisted laser desorption/ionization; Proteome; Matrix (chemical analysis); Mass spectrometry; Desorption; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009149279,0.001641445,0.0008179406,0.0009529722,0.0006358251,0.0005666904,0.001188867,0.0008054859,0.002818863],"category_scores_gemma":[0.0007007188,0.0007371239,0.0006025686,0.0003920805,0.0004300294,0.0006475393,0.0008928469,0.001625491,0.002735673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765188,"about_ca_system_score_gemma":0.0005791241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002909781,"about_ca_topic_score_gemma":0.0007507864,"domain_scores_codex":[0.9990078,0.0001154705,0.00008282079,0.0002330048,0.0005022205,0.0000588007],"domain_scores_gemma":[0.9994885,0.00009600459,0.0000860176,0.00009062035,0.0001613388,0.0000774726],"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":[0.00002791747,0.00002113472,0.00005653748,0.00009289313,0.00001095685,0.00005453084,0.00001037888,0.00002756324,0.9945993,0.00006904166,0.0002273005,0.004802589],"study_design_scores_gemma":[0.00003012219,0.0001650779,0.001306565,0.00001247589,0.00003594052,0.001200349,0.00001475237,0.001612395,0.9830876,0.0001432304,0.01234956,0.00004183005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08668326,0.005357062,0.8990291,0.0006607971,0.0004923006,0.001186335,0.0009282645,0.00377192,0.001891037],"genre_scores_gemma":[0.09017565,0.00279934,0.8990051,0.0003336993,0.0001042496,0.001405962,0.002322397,0.0004383448,0.003415267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002818863,"threshold_uncertainty_score":0.009429991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08830308562713804,"score_gpt":0.4690889562192058,"score_spread":0.3807858705920677,"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."}}