{"id":"W2885188866","doi":"10.1158/1538-7445.am2018-3849","title":"Abstract 3849: Identification and optimization of chemical compounds as potent agonists of human STING with anticancer activity in mice","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sting; Pharmacology; Agonist; Cancer; Stimulator of interferon genes; Medicine; Cancer immunotherapy; In vitro; Melanoma; Innate immune system; Cancer research; Immunotherapy; Chemistry; Immune system; Biochemistry; Immunology; Receptor; Internal medicine","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":[0.0001519322,0.0005362692,0.0003690816,0.0005626825,0.0001419329,0.0002102689,0.0003620098,0.0002681784,0.002999904],"category_scores_gemma":[0.00008362002,0.0001471242,0.000335775,0.0004423197,0.0001212064,0.0002017022,0.0001626391,0.0005057016,0.0007121748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792658,"about_ca_system_score_gemma":0.0004017245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005416599,"about_ca_topic_score_gemma":0.001339976,"domain_scores_codex":[0.999909,0.00001115314,0.000009618336,0.00001532128,0.00003051601,0.00002427458],"domain_scores_gemma":[0.9999417,0.000005103752,0.00001411728,0.000005258736,0.00001174338,0.00002207332],"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":[0.0004060519,0.0004863574,0.0002917858,0.0001458167,0.0000263585,0.0001306076,0.00001766132,0.0009479291,0.9850322,0.0003487462,0.0004947504,0.0116718],"study_design_scores_gemma":[0.0003524037,0.007358447,0.002959256,0.00002961764,0.0000989467,0.000287389,0.00002659817,0.001307709,0.9738594,0.0001300915,0.01356954,0.00002057548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785381,0.00379623,0.006981614,0.0003510993,0.00005981967,0.0005845354,0.003802383,0.0002288657,0.005657303],"genre_scores_gemma":[0.9576011,0.005682267,0.01936112,0.0003198619,0.00002950466,0.0004102091,0.005667385,0.00005957538,0.010869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002999904,"threshold_uncertainty_score":0.01003569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348788033366492,"score_gpt":0.393124652951218,"score_spread":0.339636772617553,"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."}}