{"id":"W4377087424","doi":"10.1093/nar/gkad420","title":"SH2db, an information system for the SH2 domain","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Innovációs és Technológiai Minisztérium; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Magyar Tudományos Akadémia","keywords":"Biology; Domain (mathematical analysis); Computational biology; SH2 domain; Genetics; Proto-oncogene tyrosine-protein kinase Src; Signal transduction","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":[0.001814827,0.001654211,0.001627325,0.003720584,0.001076165,0.002509584,0.002797647,0.001471122,0.03642439],"category_scores_gemma":[0.002630917,0.0007922608,0.0006272257,0.003617594,0.0003975751,0.003259931,0.002362759,0.001519512,0.04209959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790568,"about_ca_system_score_gemma":0.002065316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392741,"about_ca_topic_score_gemma":0.002742057,"domain_scores_codex":[0.9992796,0.0001150117,0.0001147295,0.0001726936,0.0002338122,0.0000842009],"domain_scores_gemma":[0.9991764,0.0002002299,0.0001130367,0.0001881918,0.0001827722,0.0001393055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002117572,0.0002955243,0.004305479,0.002868184,0.0002384948,0.0007825467,0.000413379,0.002553032,0.04521174,0.01708036,0.7264988,0.197635],"study_design_scores_gemma":[0.000366009,0.0001423799,0.007069186,0.0003251055,0.0001540565,0.0008936232,0.0001499031,0.0157323,0.04192668,0.01385757,0.9192416,0.0001416588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01303326,0.007754963,0.2041982,0.0009466414,0.0004953374,0.0007931484,0.5020965,0.2325588,0.03812314],"genre_scores_gemma":[0.02621429,0.00306363,0.1067236,0.000720962,0.0001869948,0.00059664,0.8354164,0.007843726,0.01923375],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03642439,"threshold_uncertainty_score":0.1218517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425216020419501,"score_gpt":0.3671918852643378,"score_spread":0.3129397250601428,"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."}}