{"id":"W1752144580","doi":"10.1002/jssc.201301041","title":"Peptide prefractionation is essential for proteomic approaches employing multiple‐reaction monitoring of fruit proteomic research","year":2013,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Agriculture and Agri-Food Canada","funders":"","keywords":"Proteomics; Proteome; Shotgun proteomics; Chemistry; Quantitative proteomics; Shotgun; Chromatography; Peptide; Computational biology; Biology; 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":[0.001674035,0.001088308,0.0007410838,0.0004744335,0.0005727357,0.0008082907,0.0005625691,0.0007422907,0.001415044],"category_scores_gemma":[0.00247284,0.0004871455,0.0004970512,0.0006740183,0.0005996238,0.001163767,0.0005235738,0.001726941,0.001424835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248571,"about_ca_system_score_gemma":0.0005452166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002831074,"about_ca_topic_score_gemma":0.0006480338,"domain_scores_codex":[0.9986869,0.0002852475,0.0001233164,0.0003375206,0.0004368454,0.0001302251],"domain_scores_gemma":[0.9980595,0.0008168903,0.0003157743,0.0003219686,0.0003950828,0.00009079117],"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":[0.00002957867,0.00001860878,0.0001367028,0.000124199,0.00000763515,0.00006355684,0.00003163122,0.00002307732,0.9952158,0.0001417743,0.0000806773,0.004126885],"study_design_scores_gemma":[0.000006104039,0.0001029168,0.003401553,0.0000267999,0.00001919468,0.0004559884,0.00002466026,0.0004866704,0.9880656,0.0001934143,0.007204389,0.00001271555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4812774,0.01131102,0.4937924,0.001188293,0.000828028,0.0008120814,0.001558613,0.001343948,0.007888276],"genre_scores_gemma":[0.4531372,0.01359068,0.5183794,0.001274355,0.0003238085,0.001490428,0.004667682,0.0008877916,0.00624856],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001674035,"threshold_uncertainty_score":0.008853257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391082812310849,"score_gpt":0.4234319254510998,"score_spread":0.2843236442200148,"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."}}