{"id":"W3190870985","doi":"10.1186/s41181-021-00140-1","title":"Dose predictions for [177Lu]Lu-DOTA-panitumumab F(ab′)2 in NRG mice with HNSCC patient-derived tumour xenografts based on [64Cu]Cu-DOTA-panitumumab F(ab′)2 – implications for a PET theranostic strategy","year":2021,"lang":"en","type":"article","venue":"EJNMMI Radiopharmacy and Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"University of Toronto; Canadian Cancer Society; Terry Fox Foundation; Government of Ontario; Amgen Canada; Amgen","keywords":"Panitumumab; DOTA; Radioimmunotherapy; Medicine; Cancer research; Epidermal growth factor receptor; Nuclear medicine; Biodistribution; Monoclonal antibody; Chemistry; Cetuximab; Internal medicine; Receptor; Antibody; Chelation; Immunology","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":[0.0001641892,0.0006168761,0.0006970596,0.0000817402,0.0005325089,0.000118278,0.0002675146,0.0001776403,0.0002748839],"category_scores_gemma":[0.0001860479,0.0005892699,0.0002798548,0.0005848078,0.0002837376,0.0001595018,0.00004248769,0.0006810064,0.000005916222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315212,"about_ca_system_score_gemma":0.0007132528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001250886,"about_ca_topic_score_gemma":0.000005163403,"domain_scores_codex":[0.9969483,0.00005191494,0.0007601596,0.001123959,0.0003133901,0.0008023034],"domain_scores_gemma":[0.9973867,0.0006417132,0.0002427994,0.0006943163,0.0003970292,0.0006374259],"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":[0.002484871,0.001868008,0.0005263463,0.001406467,0.0002689722,0.0001210268,0.0001458139,0.0007999138,0.9881878,0.0001528789,0.002142363,0.001895488],"study_design_scores_gemma":[0.02505702,0.0005167664,0.003207601,0.0005141333,0.001124934,0.001228574,0.0009730085,0.01814225,0.9312949,0.0002814186,0.01663662,0.001022737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839646,0.001452102,0.002378122,0.005022246,0.0001067761,0.002299234,0.001700187,0.0002384301,0.002838333],"genre_scores_gemma":[0.9915493,0.0003107704,0.001714691,0.001130605,0.0005470497,0.002577816,0.001449882,0.000108901,0.0006110544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05689292,"threshold_uncertainty_score":0.9996558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590070808240083,"score_gpt":0.3067511841903108,"score_spread":0.28085047610791,"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."}}