{"id":"W2141491800","doi":"10.1074/mcp.m000116-mcp201","title":"Integrated Phosphoproteomics Analysis of a Signaling Network Governing Nutrient Response and Peroxisome Induction","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Université du Luxembourg","keywords":"Phosphoproteomics; Cell biology; Peroxisome; Chemistry; Computational biology; Signal transduction; Biology; Receptor; Biochemistry; Kinase; Protein kinase A","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001017869,0.0003789191,0.0004917471,0.0002557365,0.0001580491,0.00006908319,0.0002924778,0.0005559088,0.00003557315],"category_scores_gemma":[0.0003851268,0.0003920107,0.0002773181,0.000983071,0.0002181292,0.00001512761,0.0002261406,0.0006224937,0.000003096212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000521598,"about_ca_system_score_gemma":0.0001963613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005410614,"about_ca_topic_score_gemma":0.000014338,"domain_scores_codex":[0.9976859,0.0002932609,0.0005399873,0.0007152169,0.0003048961,0.0004607062],"domain_scores_gemma":[0.9984986,0.00002440867,0.0003838369,0.0006529993,0.0002488807,0.0001913345],"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":[0.0008813054,0.00009181436,0.003718622,0.00002152636,0.0008382426,0.000009936482,0.0001151569,0.002183728,0.9915906,0.00006853028,0.00001520504,0.0004653948],"study_design_scores_gemma":[0.0006557159,0.0002799674,0.0003491642,0.00002226051,0.0003607766,0.00001331817,0.00009470714,0.00263543,0.9935289,0.00006312478,0.001590307,0.0004063182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608613,0.0006492021,0.03744174,0.00006133871,0.0002195872,0.0006672261,0.0000451973,0.00003251143,0.00002192144],"genre_scores_gemma":[0.9818458,0.0000619245,0.01737017,0.00008434396,0.000120225,0.00009004469,0.000299116,0.00007458967,0.00005381643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209845,"threshold_uncertainty_score":0.9998532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004966597457765518,"score_gpt":0.2086091487673992,"score_spread":0.2036425513096337,"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."}}