{"id":"W1996664978","doi":"10.1016/j.ab.2010.06.024","title":"Determination of l-serine-O-phosphate in rat and mouse brain tissue using high-performance liquid chromatography and fluorimetric detection","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"High-performance liquid chromatography; Neurochemical; Forebrain; Chemistry; Serine; Chromatography; Derivatization; Glutamate receptor; Microdialysis; Cerebellum; Biochemistry; Metabotropic glutamate receptor; Receptor; Biology; Central nervous system; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001436178,0.000136991,0.0001681113,0.0000976482,0.00003511057,0.00001392703,0.00007200713,0.0002212157,0.000006949012],"category_scores_gemma":[0.0001186991,0.0001360661,0.00002867158,0.0002546511,0.0001558104,0.000009600156,0.0000796493,0.0001260193,3.5147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004817444,"about_ca_system_score_gemma":0.00002244837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004860717,"about_ca_topic_score_gemma":0.0000138102,"domain_scores_codex":[0.9992276,0.00001185243,0.0002121315,0.0002870908,0.00008880413,0.00017253],"domain_scores_gemma":[0.9995775,0.00001399707,0.00007237389,0.0001966096,0.00005127532,0.0000883076],"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":[0.00005437659,0.00002604021,0.001761568,0.00006740156,0.000008389556,0.000001322126,0.000005493007,0.000002323994,0.9891341,0.00001395844,0.000006512329,0.00891847],"study_design_scores_gemma":[0.000399837,0.000139198,0.002462291,0.00001014665,0.00002074059,0.00002776358,0.00001071756,0.001992817,0.9942609,0.000005953371,0.000519842,0.0001497756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998651,0.0006624541,0.0004732229,0.00002113484,0.00005898658,0.00007053478,0.000006052758,0.00000638963,0.0000502683],"genre_scores_gemma":[0.9982136,0.0002952518,0.001207114,0.00003624794,0.00008948598,0.000003766805,0.00002122846,0.00001272849,0.00012061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008768694,"threshold_uncertainty_score":0.5548614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004733062660492687,"score_gpt":0.2434444618485849,"score_spread":0.2387113991880922,"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."}}