{"id":"W4415381207","doi":"10.1021/acs.molpharmaceut.5c01009","title":"Positron Emission Tomography/Computed Tomography (PET/CT) and Radioimmunotherapy of Head and Neck Cancer Patient Derived Xenografts in NRG Mice with Theranostic [ 64 Cu]Cu-DOTA-Panitumumab F(ab′) 2 and [ 177 Lu]Lu-DOTA-Panitumumab F(ab′) 2","year":2025,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Leslie Dan Faculty of Pharmacy, University of Toronto; Canadian Institutes of Health Research; University of Toronto","keywords":"Radioimmunotherapy; Epidermal growth factor receptor; Positron emission tomography; Lymph node; Head and neck squamous-cell carcinoma; Head and neck cancer; Lung cancer; Metastasis; Radiation therapy","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":[0.0003297002,0.001102088,0.001324142,0.0006921274,0.0004137843,0.0001598049,0.0003719074,0.0001837373,0.00001998247],"category_scores_gemma":[0.00005074207,0.001040114,0.0003039831,0.002041186,0.0008866616,0.0002389115,0.0002333584,0.001253654,0.000001738201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024839,"about_ca_system_score_gemma":0.0003082337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009817319,"about_ca_topic_score_gemma":0.00001203843,"domain_scores_codex":[0.995162,0.0003274043,0.001210227,0.001418971,0.0007607221,0.00112065],"domain_scores_gemma":[0.9973533,0.0003106002,0.0003785299,0.0008337589,0.0003678343,0.000755945],"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":[0.002007567,0.001094895,0.01116914,0.001109333,0.001212607,0.0006037246,0.0007153383,0.001323242,0.9531252,0.00005035479,0.0001612223,0.02742734],"study_design_scores_gemma":[0.01276971,0.0005365886,0.006218995,0.0014063,0.001479961,0.000794173,0.0004821036,0.0262145,0.9475491,0.0001076993,0.001487838,0.0009530117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625089,0.03282097,0.0007957045,0.0009562524,0.00007293485,0.002359711,0.0001509475,0.0001834377,0.0001512035],"genre_scores_gemma":[0.9866785,0.009565594,0.001053186,0.001960166,0.00008448991,0.0003280352,0.000161165,0.0001575618,0.00001133649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02647433,"threshold_uncertainty_score":0.9992049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025768401763889,"score_gpt":0.2755068664821323,"score_spread":0.2652491824644934,"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."}}