{"id":"W3082104531","doi":"10.1021/acs.analchem.0c02793","title":"Simple Targeted Assays for Metabolic Pathways and Signaling: A Powerful Tool for Targeted Proteomics","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"VILLUM Center for Bioanalytical Sciences; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Lundbeckfonden; Villum Fonden; Bundesministerium für Bildung und Forschung; Natur og Univers, Det Frie Forskningsråd","keywords":"Proteomics; Chemistry; Computational biology; Signal transduction; Metabolic pathway; Biochemistry; Biology; Enzyme; Gene","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":[0.002941908,0.002549211,0.0020047,0.002872942,0.0008059308,0.002075379,0.00214279,0.001583708,0.009090262],"category_scores_gemma":[0.002851382,0.001791294,0.001601415,0.001553529,0.0009388506,0.00200961,0.002517332,0.0040571,0.01025501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079195,"about_ca_system_score_gemma":0.0009730454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006110863,"about_ca_topic_score_gemma":0.001059904,"domain_scores_codex":[0.9974316,0.0003526949,0.0002113766,0.0005503349,0.001301597,0.0001524042],"domain_scores_gemma":[0.9976056,0.0008398701,0.0003449959,0.0006172981,0.0003487465,0.0002434659],"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":[0.0002428284,0.00007824441,0.0006828046,0.001006133,0.000189617,0.0002553122,0.00008256253,0.001012062,0.9172099,0.004563313,0.01708172,0.05759552],"study_design_scores_gemma":[0.00009484593,0.0002296646,0.001637557,0.00009510208,0.0001263483,0.001775174,0.00002706637,0.01459554,0.8247136,0.006443252,0.1500686,0.0001932799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006365779,0.00190368,0.9486875,0.000351995,0.0003784043,0.0002328756,0.005406839,0.03540042,0.001272502],"genre_scores_gemma":[0.0332343,0.003009967,0.9424845,0.0006505133,0.0002755689,0.0009814048,0.01012718,0.005511576,0.003724951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009090262,"threshold_uncertainty_score":0.03040999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345194286412249,"score_gpt":0.2748625560648874,"score_spread":0.2514106132007649,"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."}}