{"id":"W3182497052","doi":"10.1097/ju.0000000000002056.06","title":"PD42-06 BOOSTING THE COMBINATION OF RADIATION AND ANTI-PD-L1 WITH STING AGONIST IN A PRECLINICAL MUSCLE INVASIVE BLADDER CANCER MURINE MODEL","year":2021,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Agonist; Bladder cancer; Sting; Cancer; Radiation therapy; Boosting (machine learning); Urology; Internal medicine; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000398766,0.0004383104,0.0004552736,0.0009000975,0.0003153686,0.0006186126,0.0003310611,0.000965881,0.02199346],"category_scores_gemma":[0.0002429779,0.000378227,0.0006663958,0.0004414505,0.0003030768,0.0006834046,0.0003467503,0.001901295,0.004410641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932725,"about_ca_system_score_gemma":0.0006674716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004964047,"about_ca_topic_score_gemma":0.0009236024,"domain_scores_codex":[0.9996591,0.00003802804,0.00002456182,0.00004564245,0.0001560736,0.00007656241],"domain_scores_gemma":[0.9997646,0.00002303488,0.00004469513,0.00002944158,0.00003344266,0.0001046727],"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":[0.004271622,0.004007309,0.002193691,0.0009527175,0.0001029179,0.0005079805,0.0001495856,0.0009217848,0.8624374,0.002227666,0.02983635,0.092391],"study_design_scores_gemma":[0.0006898684,0.01672192,0.009668187,0.0002491727,0.0002476773,0.002483042,0.0001985946,0.00351473,0.8241694,0.0007408213,0.1412517,0.00006481625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484893,0.03166363,0.02144666,0.007193744,0.003245692,0.00114249,0.007485934,0.006092877,0.07323958],"genre_scores_gemma":[0.8316659,0.01885641,0.01788008,0.002258475,0.0005197356,0.001002019,0.005283884,0.0005071607,0.1220263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02199346,"threshold_uncertainty_score":0.07357544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308354068393236,"score_gpt":0.3129833481896025,"score_spread":0.2798998075056701,"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."}}