{"id":"W7005790532","doi":"","title":"Single-nucleus profiling of the human brain to identify therapeutic targets","year":2023,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Medicinal Plant Extracts Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; University of California, San Diego; Dalhousie University; Shaffer Family Foundation; Goizueta Business School, Emory University; University of Washington; Emory University; University of Miami; U.S. Department of Defense","keywords":"Profiling (computer programming); Human brain; Human studies; Drug development; Human use; Drug discovery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919743,0.0002555355,0.0002603723,0.0006512509,0.0002756949,0.000433905,0.0001691151,0.0002559666,0.002855194],"category_scores_gemma":[0.0001445243,0.0001177273,0.0001934897,0.0003073657,0.0002891865,0.000258575,0.0003282017,0.0003220027,0.001069094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956601,"about_ca_system_score_gemma":0.0003026238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124096,"about_ca_topic_score_gemma":0.004200756,"domain_scores_codex":[0.9999174,0.0000105011,0.00000523519,0.00002552532,0.00002990112,0.00001146025],"domain_scores_gemma":[0.9999343,0.00001508213,0.00001176159,0.00001040389,0.00001946543,0.000009016863],"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":[0.0000757388,0.00001503676,0.0009630444,0.0000650777,0.000005982812,0.00004946235,0.00004563465,0.0001687655,0.990455,0.0002441861,0.000210714,0.007701307],"study_design_scores_gemma":[0.00001473128,0.0003456836,0.02120295,0.00003837671,0.000040449,0.0005794729,0.0002887989,0.002664941,0.9625848,0.000800175,0.0114215,0.00001824968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8216262,0.009463448,0.1326838,0.0009433415,0.0002090087,0.0004343186,0.008321535,0.001234259,0.02508404],"genre_scores_gemma":[0.8421661,0.009791728,0.124013,0.00051121,0.00004310479,0.0003598308,0.003189099,0.0003117249,0.01961435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002855194,"threshold_uncertainty_score":0.009551525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845369699689907,"score_gpt":0.2817738658613868,"score_spread":0.2533201688644877,"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."}}