{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185371,0.0003877616,0.0003481219,0.0001689048,0.0001108497,0.0002842387,0.0002621036,0.0004217118,0.0006969539],"category_scores_gemma":[0.0001892953,0.0001731904,0.0002282062,0.000133982,0.0002444501,0.0003192243,0.0002081189,0.0003801749,0.0004799709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106662,"about_ca_system_score_gemma":0.000129418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002148621,"about_ca_topic_score_gemma":0.0002745567,"domain_scores_codex":[0.9998235,0.00003641976,0.00001324313,0.00005718311,0.00004699701,0.00002271045],"domain_scores_gemma":[0.9999074,0.00002438191,0.0000331631,0.000009353626,0.00001215656,0.0000135436],"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":[0.00004361556,0.00001187521,0.0000926949,0.00004026565,0.000003396668,0.00001705888,0.00001121733,0.0001147533,0.997273,0.00007175781,0.00003462923,0.002285624],"study_design_scores_gemma":[0.000006648786,0.0002199043,0.0004765849,0.000001619033,0.000008478047,0.0002944773,0.000004737944,0.0004072727,0.9968917,0.000011642,0.001673923,0.000003026593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639129,0.006447011,0.02504008,0.0002313753,0.00005107666,0.000094144,0.0001340902,0.0003177357,0.003771613],"genre_scores_gemma":[0.9619211,0.002202219,0.03149332,0.0001635671,0.00002934328,0.00009440482,0.0002391575,0.00007510791,0.003781656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006969539,"threshold_uncertainty_score":0.002331555,"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."}}