{"id":"W2582404868","doi":"10.1093/schbul/sbw173","title":"Postsynaptic Density-95 Isoform Abnormalities in Schizophrenia","year":2016,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health; Stanley Medical Research Institute","keywords":"Schizophrenia (object-oriented programming); Postsynaptic density; Postsynaptic potential; Neuroscience; Gene isoform; Medicine; Psychology; Psychiatry; Internal medicine; Biology; Genetics; Receptor","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":[0.0001121356,0.0003591823,0.0001918324,0.0004763647,0.0001590725,0.0001435027,0.000108564,0.0001195314,0.001369696],"category_scores_gemma":[0.0001148983,0.000106022,0.0001263867,0.000168931,0.0002088749,0.00008620921,0.0001688407,0.0002363279,0.0001852346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297517,"about_ca_system_score_gemma":0.0002097205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424261,"about_ca_topic_score_gemma":0.001969761,"domain_scores_codex":[0.999956,0.000003604673,0.000005025521,0.00001232608,0.00001577622,0.000007286737],"domain_scores_gemma":[0.999907,0.000005849849,0.0000505585,0.000003821723,0.00001135313,0.00002140833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001028149,0.00006880894,0.0410007,0.0001404365,0.00006624787,0.00110512,0.0001159998,0.0001760708,0.9472374,0.0001976257,0.0001604547,0.008702988],"study_design_scores_gemma":[0.00007421793,0.000826832,0.8913375,0.00005476528,0.0001522349,0.007114858,0.0002084817,0.0007228393,0.09796643,0.0006349483,0.000888704,0.00001815918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984626,0.0005943564,0.0003487593,0.00002511562,0.000004246932,0.000005871249,0.0001955664,0.00001337885,0.0003501895],"genre_scores_gemma":[0.9985716,0.0004817909,0.0003707975,0.00002679127,0.000002439947,0.000009086076,0.0002060642,0.000005209436,0.0003263055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424261,"threshold_uncertainty_score":0.004582047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695757558199102,"score_gpt":0.2796392906176169,"score_spread":0.2526817150356259,"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."}}