{"id":"W2913208382","doi":"10.1159/000496086","title":"Novel Benzodiazepine-Like Ligands with Various Anxiolytic, Antidepressant, or Pro-Cognitive Profiles","year":2019,"lang":"en","type":"article","venue":"Complex Psychiatry","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; University of Toronto","funders":"Science and Engineering Research Board; National Institutes of Health; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Academy of Military Medical Sciences; National Alliance for Research on Schizophrenia and Depression; University of Wisconsin-Milwaukee","keywords":"Anxiolytic; GABAA receptor; Benzodiazepine; Pharmacology; Antidepressant; Allosteric regulation; Working memory; Allosteric modulator; Anticonvulsant; Sedative; Psychology; Diazepam; Medicine; Neuroscience; Cognition; Epilepsy; Anxiety; Internal medicine; Receptor; Psychiatry; Hippocampus","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":[0.00006805643,0.0003003972,0.0002245979,0.0001568295,0.00007084564,0.0001341066,0.0002386409,0.000146209,0.0007793193],"category_scores_gemma":[0.00005127134,0.00006267839,0.0001197752,0.0001253901,0.00009768848,0.0001413542,0.0001289728,0.0002937294,0.0003554485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887555,"about_ca_system_score_gemma":0.0001162579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003041269,"about_ca_topic_score_gemma":0.001053684,"domain_scores_codex":[0.9999771,0.000003511392,0.000002121743,0.000004672046,0.000004918037,0.000007697592],"domain_scores_gemma":[0.9999804,0.000001831137,0.000006305759,0.000001476154,0.000003266571,0.000006753682],"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":[0.0004261822,0.0001280829,0.000361208,0.0003467099,0.00002195773,0.0001909465,0.00004955385,0.0005140743,0.9646965,0.0006966637,0.0003378601,0.03223025],"study_design_scores_gemma":[0.0006785661,0.006429497,0.006547203,0.0000880424,0.0001762089,0.002822014,0.00007534149,0.002700676,0.9343206,0.0003507872,0.04575554,0.0000554999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526439,0.02612199,0.009878593,0.0003933171,0.00005212182,0.0001599452,0.0009137712,0.0002926681,0.00954371],"genre_scores_gemma":[0.974359,0.0125385,0.007392168,0.0003141863,0.00002767283,0.0001124436,0.0009510918,0.00001413069,0.004290875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007793193,"threshold_uncertainty_score":0.002607107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07502990733843523,"score_gpt":0.3447883030609982,"score_spread":0.2697583957225629,"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."}}