{"id":"W4321481609","doi":"10.1101/2023.02.21.529381","title":"CETP inhibitor evacetrapib enters mouse brain tissue","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; Université de Montréal; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Weston Brain Institute; McGill University","keywords":"Cholesterylester transfer protein; Genetically modified mouse; Cholesterol; Endocrinology; Medicine; Internal medicine; Blood–brain barrier; Transgene; Lipoprotein; Pharmacology; Chemistry; Central nervous system; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002018026,0.0005580224,0.0004692479,0.0005200149,0.0001652045,0.0003179786,0.0003449513,0.0004715037,0.001808491],"category_scores_gemma":[0.0001327795,0.0002528414,0.0003413782,0.0002167535,0.0002840612,0.0003098049,0.0001518754,0.001101088,0.001258259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499545,"about_ca_system_score_gemma":0.000337439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009274933,"about_ca_topic_score_gemma":0.0008579146,"domain_scores_codex":[0.9998097,0.00001835254,0.00001124227,0.00006435413,0.00005098094,0.0000453996],"domain_scores_gemma":[0.9998968,0.00002061259,0.00002628914,0.00002219831,0.00001309407,0.00002098573],"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":[0.0004902943,0.00006865326,0.0001296251,0.00004713752,0.00001183924,0.00006748391,0.00002269156,0.0001325275,0.9954073,0.0001172823,0.0002367631,0.003268353],"study_design_scores_gemma":[0.00002743159,0.0002958456,0.0007297522,0.00000548692,0.00001273285,0.0001310683,0.000009519905,0.0007299534,0.9962748,0.00006168254,0.001717662,0.000004056952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370427,0.008210318,0.0374237,0.0007347353,0.0003169972,0.0002271373,0.007579669,0.001912451,0.006552266],"genre_scores_gemma":[0.9377599,0.005542194,0.02249989,0.0004345148,0.00008736106,0.0004119629,0.007398585,0.0005445002,0.0253211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001808491,"threshold_uncertainty_score":0.006049991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200693086875167,"score_gpt":0.2591945842043132,"score_spread":0.2391252755167965,"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."}}