{"id":"W4308653809","doi":"10.1158/0008-5472.can-22-1433","title":"Immunotherapeutic Targeting and PET Imaging of DLL3 in Small-Cell Neuroendocrine Prostate Cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; Genentech; National Institutes of Health; University of California, San Francisco; Scheme for Promotion of Academic and Research Collaboration; Astellas Pharma; Clovis Oncology; U.S. Department of Defense; Sanofi; Celgene; Prostate Cancer Foundation; AstraZeneca; Amgen; Pfizer; Advanced Accelerator Applications","keywords":"Prostate cancer; Medicine; Immunotherapy; Cancer; Cancer research; T cell; Immunology; Internal medicine; Immune system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001655015,0.0001642496,0.0001426219,0.0001878078,0.00009023125,0.0002798006,0.0002476025,0.0003052325,0.0005528387],"category_scores_gemma":[0.0001150622,0.00009631195,0.0001464275,0.0001317316,0.0002003681,0.0001894443,0.000138711,0.0003914047,0.000148451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043042,"about_ca_system_score_gemma":0.0003011367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665085,"about_ca_topic_score_gemma":0.002243116,"domain_scores_codex":[0.9999405,0.00001453493,0.000002647695,0.00001066153,0.00001807941,0.00001349359],"domain_scores_gemma":[0.9999721,0.000005951761,0.000007583579,0.000002922776,0.000003723323,0.000007702422],"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":[0.0003008315,0.00008640742,0.001932266,0.00007494996,0.00001319326,0.000206052,0.0000217118,0.0008795064,0.9876363,0.0001847077,0.000238473,0.008425678],"study_design_scores_gemma":[0.0001354801,0.0017657,0.02001782,0.00001856353,0.00005736021,0.004063544,0.00008093361,0.01321077,0.9561337,0.0001758183,0.004324249,0.00001618688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990299,0.002426144,0.004906692,0.0002631891,0.00001295743,0.00004573253,0.0001329838,0.0001321828,0.001781046],"genre_scores_gemma":[0.9956598,0.0006763792,0.002815767,0.00008073893,0.00000494317,0.00001762791,0.000104833,0.00001049124,0.0006293251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665085,"threshold_uncertainty_score":0.00365895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384630294626189,"score_gpt":0.4139175327944468,"score_spread":0.3600712298481848,"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."}}