{"id":"W3026430563","doi":"10.1093/schbul/sbaa031.249","title":"S183. ABNORMALITIES IN SERINE/THREONINE SIGNALING NETWORKS IN SEVERE NEUROPSYCHIATRIC ILLNESS: DEVELOPMENT OF A PIPELINE TO EXPLORE ABNORMALITIES OF KINASE ACTIVITY AND IDENTIFY NOVEL TREATMENT STRATEGIES FOR SCHIZOPHRENIA","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kinome; Kinase; Biology; Signal transduction; Schizophrenia (object-oriented programming); Phosphoproteomics; Computational biology; Bioinformatics; Protein kinase A; Genetics; Medicine; Protein phosphorylation; Psychiatry","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":[0.0007833376,0.001155168,0.0008810418,0.001369286,0.0004195255,0.001123971,0.0005711578,0.0004025457,0.006794089],"category_scores_gemma":[0.0007793498,0.0003204757,0.001130335,0.0006767049,0.0001838743,0.0005063023,0.0004865257,0.0005784266,0.003069354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008722641,"about_ca_system_score_gemma":0.001632388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002125923,"about_ca_topic_score_gemma":0.004475472,"domain_scores_codex":[0.9997805,0.00002554406,0.00001455345,0.00007943109,0.00006853334,0.00003147185],"domain_scores_gemma":[0.9997116,0.00006198304,0.00007404214,0.00002050616,0.00007875169,0.0000530802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003550399,0.0006108912,0.04602478,0.001335341,0.0007244212,0.0006617762,0.0001487476,0.02452344,0.5368781,0.003039149,0.03319123,0.3493118],"study_design_scores_gemma":[0.0007434755,0.002212437,0.05903035,0.0001362745,0.0007163325,0.001118012,0.0001703145,0.4524655,0.4331095,0.00900733,0.04111518,0.0001754019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4369481,0.004848043,0.4232944,0.003823149,0.0003494475,0.001627079,0.06032174,0.05808504,0.01070299],"genre_scores_gemma":[0.4737654,0.001967261,0.465307,0.0007405143,0.0001125728,0.000978418,0.0489768,0.0009213551,0.007230782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006794089,"threshold_uncertainty_score":0.0227285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234056098059096,"score_gpt":0.2531882907136468,"score_spread":0.2297826809077372,"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."}}