{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003510729,0.0004388223,0.0002525255,0.0002727287,0.00006636271,0.0003582098,0.0003638633,0.0004926193,0.001272467],"category_scores_gemma":[0.0003808603,0.0002443414,0.0003404938,0.0001625384,0.0001897447,0.0002048408,0.0001176165,0.0004096413,0.0004002982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000852845,"about_ca_system_score_gemma":0.0002463622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005795052,"about_ca_topic_score_gemma":0.00211408,"domain_scores_codex":[0.9998949,0.00002089965,0.000004167662,0.00003328575,0.00003214047,0.00001453692],"domain_scores_gemma":[0.9998494,0.00007102743,0.00003937408,0.0000109131,0.00001667576,0.00001263517],"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":[0.001783146,0.0001510027,0.01171922,0.0001230092,0.00007827373,0.0002630529,0.0001245173,0.2763816,0.6955799,0.00109379,0.0007977547,0.01190463],"study_design_scores_gemma":[0.00005681725,0.0007665619,0.01587369,0.00001887544,0.00008390706,0.0002753955,0.00006522379,0.5117117,0.4689863,0.000437591,0.001674777,0.00004920261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363652,0.001186301,0.05709029,0.0001321227,0.00001989226,0.00006793451,0.001211024,0.0008687155,0.003058328],"genre_scores_gemma":[0.9938291,0.0002816808,0.003798947,0.00002584276,0.000001765838,0.00003460076,0.0003579605,0.00008997696,0.001580186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005795052,"threshold_uncertainty_score":0.01152265,"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."}}