{"id":"W4289793990","doi":"10.1021/acs.molpharmaceut.2c00457","title":"Panitumumab-DOTA-<sup>111</sup>In: An Epidermal Growth Factor Receptor Targeted Theranostic for SPECT/CT Imaging and Meitner–Auger Electron Radioimmunotherapy of Triple-Negative Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Institutes of Health Research; Amgen Canada; Terry Fox Foundation","keywords":"Radioimmunotherapy; Triple-negative breast cancer; DOTA; Cancer research; Nuclear medicine; Epidermal growth factor receptor; Medicine; Oncology; Breast cancer; Chemistry; Cancer; Internal medicine; Immunology; Chelation; Monoclonal antibody","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":[0.0002408524,0.0003524561,0.0003344858,0.0001384752,0.0001183117,0.0003066661,0.0002413846,0.0003504241,0.001118098],"category_scores_gemma":[0.00007940079,0.0002375105,0.0001511258,0.0001421377,0.0002237637,0.000205595,0.0001559989,0.0003747074,0.0002529291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005815083,"about_ca_system_score_gemma":0.0002104321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245618,"about_ca_topic_score_gemma":0.001802506,"domain_scores_codex":[0.9998654,0.00002680435,0.000007943431,0.00002686106,0.00003094739,0.00004191928],"domain_scores_gemma":[0.999967,0.00000723527,0.000007375131,0.000003683585,0.000004706599,0.00001002521],"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":[0.00007865795,0.00001910433,0.00008872643,0.00002832632,0.0000044922,0.0000320265,0.00001049568,0.0001163729,0.998714,0.00007518713,0.00004916692,0.0007834854],"study_design_scores_gemma":[0.00001381196,0.0001436279,0.001317304,0.000001794683,0.00001231488,0.0002314759,0.000007913981,0.001902717,0.9943778,0.00001363832,0.001973813,0.000003647157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988525,0.001493236,0.007048662,0.0001380751,0.00002889821,0.00005923017,0.0001382744,0.00007125042,0.002497469],"genre_scores_gemma":[0.9830504,0.0009454294,0.01052795,0.00007254588,0.000009278357,0.00006011156,0.0003567784,0.00003596234,0.004941652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245618,"threshold_uncertainty_score":0.004219115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749404528460903,"score_gpt":0.3504188063991546,"score_spread":0.3329247611145456,"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."}}