{"id":"W2025085818","doi":"10.1126/science.1158739","title":"Phosphorylation Networks Regulating JNK Activity in Diverse Genetic Backgrounds","year":2008,"lang":"en","type":"article","venue":"Science","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Howard Hughes Medical Institute","keywords":"Phosphoproteomics; RNA interference; Computational biology; Phosphorylation; Biology; Gene; Kinase; Signal transduction; Genetics; Computer science; RNA; Protein phosphorylation; Protein kinase A","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":[0.0003039324,0.0005223186,0.0002520711,0.0003531877,0.0002645474,0.0003424299,0.0003579642,0.0001850139,0.0005378482],"category_scores_gemma":[0.000578918,0.000185356,0.0002811058,0.0002715965,0.0002960305,0.0003467812,0.0003284202,0.0002938756,0.0001028264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084683,"about_ca_system_score_gemma":0.0002450193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006785063,"about_ca_topic_score_gemma":0.001564418,"domain_scores_codex":[0.9998511,0.00002803438,0.00000942235,0.00004099586,0.00004270997,0.00002771673],"domain_scores_gemma":[0.9998425,0.00005825758,0.00004459098,0.00001291404,0.00001831215,0.00002335606],"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":[0.0004055592,0.0001223196,0.0038488,0.00007295774,0.00004765468,0.000219563,0.00004174897,0.1143911,0.8658497,0.004296549,0.000119238,0.01058483],"study_design_scores_gemma":[0.00007759932,0.0002682884,0.01013698,0.00000673183,0.00009685263,0.0001858761,0.00005929032,0.6187927,0.363828,0.005471483,0.001036927,0.00003931286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808637,0.00006357559,0.01765335,0.00003353814,0.000003716543,0.00002667897,0.0001281876,0.0001426808,0.001084611],"genre_scores_gemma":[0.9868176,0.0001770555,0.01209095,0.00001525668,0.000001805756,0.00005412793,0.0003471024,0.00002952084,0.0004664989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007084683,"threshold_uncertainty_score":0.005140364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992490924536764,"score_gpt":0.2414477783580355,"score_spread":0.2215228691126679,"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."}}