{"id":"W2948949781","doi":"10.1016/j.neuron.2019.05.002","title":"SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse","year":2019,"lang":"en","type":"article","venue":"Neuron","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1031,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Drug Abuse; National Institute of Mental Health; Leibniz-Gemeinschaft; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Generalitat de Catalunya; Bundesministerium für Bildung und Forschung; Stanley Center for Psychiatric Research, Broad Institute; Centres de Recerca de Catalunya; Deutsche Forschungsgemeinschaft; Erzincan Üniversitesi; European Regional Development Fund; Broad Institute; European Commission; EU Joint Programme – Neurodegenerative Disease Research","keywords":"Synapse; Gene; Neuroscience; Gene ontology; Biology; Autism; Annotation; Ontology; Computational biology; Schizophrenia (object-oriented programming); Computer science; Genetics; Psychology; Psychiatry; Gene expression","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":[0.001241166,0.001476419,0.001171248,0.006005915,0.0006734196,0.002699335,0.002668289,0.002073742,0.01517903],"category_scores_gemma":[0.0140465,0.0006029581,0.001580358,0.002881332,0.0004671497,0.002158691,0.002535416,0.001874203,0.005996839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009503007,"about_ca_system_score_gemma":0.003133505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005660928,"about_ca_topic_score_gemma":0.01501121,"domain_scores_codex":[0.9993549,0.0001023639,0.00008225031,0.0002094277,0.000214701,0.00003639842],"domain_scores_gemma":[0.9962919,0.002513472,0.000233363,0.0003768594,0.0004507943,0.000133546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00150327,0.0005177656,0.01665191,0.01967914,0.002694906,0.005191509,0.0006722865,0.1018854,0.03199045,0.03915411,0.2265552,0.5535041],"study_design_scores_gemma":[0.0005376496,0.0003742651,0.01032495,0.004871083,0.00253974,0.0038641,0.0005028196,0.317035,0.02893524,0.1957912,0.4349511,0.0002728607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.02885017,0.01211269,0.5307609,0.003703767,0.0004754407,0.0008497494,0.3523477,0.05312127,0.01777837],"genre_scores_gemma":[0.1870613,0.01264279,0.5146897,0.001412795,0.0001848032,0.0007892645,0.2773211,0.00214727,0.003750952],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01517903,"threshold_uncertainty_score":0.05077893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980162668529599,"score_gpt":0.2795907454704901,"score_spread":0.2497891187851941,"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."}}