{"id":"W2142654480","doi":"10.1016/j.molcel.2007.05.031","title":"High-Throughput Phosphotyrosine Profiling Using SH2 Domains","year":2007,"lang":"en","type":"article","venue":"Molecular Cell","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":176,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"SH2 domain; Biology; Tyrosine phosphorylation; Proto-oncogene tyrosine-protein kinase Src; Phosphorylation; Tyrosine; Proteome; Cell biology; SH3 domain; Cell adhesion; Phosphotyrosine-binding domain; Biochemistry; Computational biology; Cell","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744771,0.0001811624,0.0001250792,0.0000357823,0.0001222155,0.00001966617,0.0001588146,0.0001617045,0.000005174169],"category_scores_gemma":[0.0000146209,0.0001872237,0.00009412642,0.0001581881,0.00007906572,0.000002988123,0.0001255592,0.0001043203,0.000007526396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003004482,"about_ca_system_score_gemma":0.00003432188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002946792,"about_ca_topic_score_gemma":0.000005795032,"domain_scores_codex":[0.9988772,0.00001542372,0.0002211316,0.0004120533,0.0001268217,0.0003473775],"domain_scores_gemma":[0.9992397,0.000005125309,0.00009383173,0.0004970016,0.00007635898,0.00008797699],"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":[0.00002302163,0.00005828954,0.0000686379,0.000008228772,0.000009060753,0.00002085022,0.000005214432,0.0002049672,0.9973944,0.00123083,0.0001362274,0.000840206],"study_design_scores_gemma":[0.0002738741,0.00007768936,0.00003319539,0.000007723827,0.00001830547,0.00001562541,0.00001804921,0.0001168407,0.9781001,0.0006350644,0.02046824,0.000235348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5294592,0.0003137221,0.4689491,0.00003676337,0.00005128843,0.0001748296,0.000007397423,0.00004226675,0.0009653844],"genre_scores_gemma":[0.7239153,0.00003059036,0.2752739,0.0003809964,0.00009931246,0.000004742953,0.0001008451,0.00003629221,0.0001580094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944561,"threshold_uncertainty_score":0.763476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008165403146187092,"score_gpt":0.2675070270310954,"score_spread":0.2593416238849083,"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."}}