{"id":"W4308383460","doi":"10.1136/jitc-2022-sitc2022.1185","title":"1185 Optimization of purine-based TLR7 agonists as payloads for immune-stimulating antibody conjugates (ISACs)","year":2022,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuvation (Canada); Zymeworks (Canada)","funders":"","keywords":"Immune system; TLR7; Purine; Pharmacology; Antibody; Peripheral blood mononuclear cell; Splenocyte; In vitro; Chemistry; Cytokine; Cancer research; Immunology; Biology; Biochemistry; Toll-like receptor; Innate immune system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003379688,0.0001886822,0.0003437816,0.00005734548,0.0003144462,0.00003091891,0.0001084271,0.00008251701,0.000079795],"category_scores_gemma":[0.0003876233,0.0001918613,0.0001272381,0.0001907368,0.0002532743,0.00006779864,0.00004518326,0.0002245924,0.000001975359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005485559,"about_ca_system_score_gemma":0.0002791597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002169467,"about_ca_topic_score_gemma":1.234095e-7,"domain_scores_codex":[0.9985966,0.00003168696,0.0004905261,0.0003236234,0.0002942907,0.0002632547],"domain_scores_gemma":[0.9988897,0.0001270796,0.0002160992,0.0002818606,0.0001169765,0.0003683024],"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":[0.0002168639,0.0002413263,0.003884804,0.0006687391,0.00009265345,0.00002096592,0.0001346716,0.08482493,0.9084727,0.00086794,0.0003967021,0.0001776748],"study_design_scores_gemma":[0.003440652,0.0004062372,0.005236279,0.0001534415,0.0003486089,0.0001832465,0.0001750173,0.09621479,0.8813624,0.0009735471,0.01114397,0.0003617924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992038,0.0007683769,0.001707696,0.003432763,0.0001058094,0.0007867293,0.0001005563,0.00009215443,0.0009679866],"genre_scores_gemma":[0.9924974,0.00002154068,0.006046186,0.000325091,0.00009306076,0.000101473,0.0004840119,0.00003417568,0.0003969885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711031,"threshold_uncertainty_score":0.7823879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088711229255909,"score_gpt":0.3131224107280727,"score_spread":0.2922352984355136,"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."}}