{"id":"W4409636166","doi":"10.1158/1538-7445.am2025-7330","title":"Abstract 7330: MDNA113: A tumor targeting and conditionally activated anti-PD1-IL2SK to enhance the therapeutic index","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pharma Medica Research (Canada)","funders":"","keywords":"Therapeutic index; Medicine; Index (typography); Cancer research; Oncology; Pharmacology; Drug; World Wide Web; Computer science","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":[0.0001833825,0.0003945371,0.0002784411,0.0001826266,0.000116974,0.0003138931,0.0002728306,0.0003353386,0.00230155],"category_scores_gemma":[0.00008669156,0.0001024582,0.0001868453,0.0001629956,0.0002018357,0.0001608741,0.0002177688,0.0008743677,0.0007508415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990421,"about_ca_system_score_gemma":0.0003452767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003769966,"about_ca_topic_score_gemma":0.0004323753,"domain_scores_codex":[0.9998726,0.00001344297,0.00001080709,0.00002849837,0.0000457568,0.00002887657],"domain_scores_gemma":[0.999927,0.000009430941,0.00002159571,0.00000807889,0.000008428354,0.0000254251],"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":[0.0002910401,0.00007929868,0.00009099497,0.00003321721,0.000005468624,0.00003939937,0.000008888016,0.0001988967,0.9969741,0.000159128,0.0001736944,0.001945822],"study_design_scores_gemma":[0.00008727196,0.0007408778,0.0007797988,0.000003694529,0.00001381233,0.0002311096,0.000006307771,0.001056697,0.9931951,0.00003243788,0.003847844,0.000004961056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816103,0.001339602,0.01071071,0.0002462037,0.0001026823,0.0001896117,0.001433476,0.0003124812,0.004054989],"genre_scores_gemma":[0.9866875,0.0003685759,0.005951408,0.00007209553,0.00001685764,0.0001130811,0.001330707,0.0000434643,0.005416422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00230155,"threshold_uncertainty_score":0.00769943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252169238073158,"score_gpt":0.420496598274512,"score_spread":0.3952796744671961,"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."}}