{"id":"W2799247383","doi":"10.1101/312447","title":"The SMAC Mimetic AZD5582 is a Potent HIV Latency Reversing Agent","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Cancer Institute; National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Latency (audio); Cell biology; Biology; Population; Ex vivo; In vitro; In vivo; Provirus; Apoptosis; Caspase; Virology; Immunology; Chemistry; Molecular biology; Programmed cell death; Gene; Medicine; Biochemistry; Genetics","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":[0.00009562878,0.0002439517,0.0002152837,0.0001521123,0.0001142607,0.0002321731,0.0001778514,0.0002542366,0.00150478],"category_scores_gemma":[0.0000756142,0.00007550273,0.0001089567,0.0001030578,0.0001176556,0.0001193935,0.0001022941,0.0005197577,0.0004224287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183738,"about_ca_system_score_gemma":0.0001140683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002652837,"about_ca_topic_score_gemma":0.0003448247,"domain_scores_codex":[0.9999408,0.0000111179,0.000005067164,0.0000118751,0.00001505997,0.00001614298],"domain_scores_gemma":[0.9999706,0.000005473157,0.000007395463,0.000004418388,0.000003618281,0.000008566632],"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":[0.000271876,0.00008693624,0.0002078983,0.00005971702,0.00001243583,0.00005940269,0.000007342122,0.0002765327,0.9897453,0.0002172947,0.000391662,0.008663706],"study_design_scores_gemma":[0.00009160156,0.001012714,0.001621124,0.00000653067,0.00001858714,0.0003113151,0.000005381013,0.0007906462,0.9897373,0.00003715445,0.006363678,0.000003802653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802656,0.01067568,0.002957691,0.0002697935,0.0001165905,0.00008542788,0.0004989827,0.000184441,0.00494588],"genre_scores_gemma":[0.9945496,0.001545924,0.001424823,0.00005852417,0.00002622252,0.00002849877,0.0003292746,0.000006777436,0.002030399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150478,"threshold_uncertainty_score":0.00503397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702424770445594,"score_gpt":0.2331266076176533,"score_spread":0.2161023599131974,"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."}}