{"id":"W1150140217","doi":"10.1016/j.nucmedbio.2015.08.003","title":"A comparison of non-biologically active truncated EGF (EGFt) and full-length hEGF for delivery of Auger electron-emitting 111 In to EGFR-positive breast cancer cells and tumor xenografts in athymic mice","year":2015,"lang":"en","type":"article","venue":"Nuclear Medicine and Biology","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"Generalitat de Catalunya; Canadian Breast Cancer Research Alliance; University of Toronto; Universitat de Girona; Breast Cancer Alliance","keywords":"Internalization; Biodistribution; Chemistry; Epidermal growth factor; Cell; Cancer research; Clonogenic assay; Molecular biology; In vitro; Biology; Biochemistry; Receptor","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":[0.0002675718,0.0002436142,0.000235149,0.00020089,0.00008527809,0.0002311359,0.0002485327,0.0002978199,0.0007218107],"category_scores_gemma":[0.000237488,0.0001450375,0.0001810376,0.0001174859,0.0002184573,0.0003012682,0.0001213272,0.000295444,0.00009556927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712086,"about_ca_system_score_gemma":0.0002325052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516328,"about_ca_topic_score_gemma":0.001359089,"domain_scores_codex":[0.9998814,0.00002379224,0.000008230749,0.00002239282,0.00002856692,0.00003562464],"domain_scores_gemma":[0.9998775,0.00004341593,0.00002610707,0.00001004309,0.00001647275,0.0000265206],"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":[0.0007632151,0.00004667298,0.00007040639,0.00003967906,0.00000458266,0.0000213304,0.00002026598,0.0001471773,0.9976095,0.00008468109,0.00001871834,0.001173693],"study_design_scores_gemma":[0.00003409834,0.001109126,0.0008593771,0.000002819121,0.0000201357,0.00007368255,0.00001477887,0.0006667718,0.9966531,0.00001553692,0.000545925,0.000004578709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969037,0.0007092296,0.001551034,0.00002647716,0.00001519185,0.00002936618,0.00008612083,0.00001824609,0.0006605841],"genre_scores_gemma":[0.9942508,0.0007089489,0.002693808,0.00001902126,0.000006054854,0.00003284683,0.0001654432,0.00002058512,0.002102446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001516328,"threshold_uncertainty_score":0.003015041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340466427038105,"score_gpt":0.3878946529590065,"score_spread":0.3344899886886255,"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."}}