{"id":"W3005144830","doi":"10.1021/acs.molpharmaceut.9b01259","title":"Dual-Receptor-Targeted (DRT) Radiation Nanomedicine Labeled with <sup>177</sup>Lu Is More Potent for Killing Human Breast Cancer Cells That Coexpress HER2 and EGFR Than Single-Receptor-Targeted (SRT) Radiation Nanomedicines","year":2020,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Dalhousie University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canadian Institutes of Health Research; Terry Fox Foundation; Canadian Cancer Society","keywords":"Nanomedicine; Breast cancer; Human Epidermal Growth Factor Receptor 2; Receptor; Human breast; Cancer research; Medicine; Chemistry; Cancer; Nanotechnology; Materials science; Internal medicine; Nanoparticle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002314851,0.0006575211,0.0007930081,0.0001315135,0.0003982784,0.0000735455,0.0002220126,0.0002878834,0.0004034172],"category_scores_gemma":[0.00004397433,0.000586426,0.0001814234,0.0006478102,0.0003591504,0.0001799036,0.00006557113,0.0005776873,0.00001187896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002892586,"about_ca_system_score_gemma":0.000158549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003936928,"about_ca_topic_score_gemma":6.531963e-7,"domain_scores_codex":[0.9967777,0.00009107777,0.0006731207,0.0009508216,0.0007565804,0.0007507395],"domain_scores_gemma":[0.9977419,0.0001143574,0.0003538766,0.000397027,0.0003514136,0.001041435],"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":[0.0007168257,0.0003377674,0.002544508,0.0008314442,0.0005588394,0.00003306023,0.002154207,0.001709293,0.9821412,0.00002083251,0.003351866,0.005600177],"study_design_scores_gemma":[0.008820212,0.0003425553,0.00051838,0.0002621462,0.001148414,0.00004513963,0.0006447442,0.04547034,0.911617,0.000008423316,0.03050962,0.0006129783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636729,0.00471273,0.003295484,0.02487736,0.0001508473,0.00225881,0.0007027317,0.0002633285,0.00006574999],"genre_scores_gemma":[0.986625,0.001117165,0.001194695,0.007889122,0.001046704,0.0003247097,0.001459227,0.0001621755,0.0001811665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07052413,"threshold_uncertainty_score":0.9996587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968667679229318,"score_gpt":0.3105447235972054,"score_spread":0.2808580468049122,"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."}}