{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631854,0.0003941217,0.000396804,0.00023384,0.0001671853,0.0002184636,0.000250492,0.0005410113,0.001267655],"category_scores_gemma":[0.00008082138,0.0002899316,0.0002884851,0.0002228169,0.0003623057,0.0002002635,0.0001213807,0.0007929645,0.0003053941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000545613,"about_ca_system_score_gemma":0.0003464141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003875777,"about_ca_topic_score_gemma":0.003966636,"domain_scores_codex":[0.9998118,0.00003580011,0.0000107674,0.00004901631,0.0000379527,0.00005474212],"domain_scores_gemma":[0.9999453,0.00001070346,0.00001281659,0.000009163449,0.000007575525,0.0000142956],"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":[0.0005140962,0.0001363164,0.0002989305,0.00002914604,0.0000106865,0.0001178587,0.00003867451,0.0002726837,0.9972838,0.00007839879,0.0001246216,0.001094769],"study_design_scores_gemma":[0.0001114954,0.003503474,0.008354366,0.000005201794,0.00004989207,0.001179633,0.00005485511,0.002482644,0.9817314,0.00003667607,0.002480371,0.00001009512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932598,0.001029594,0.00211833,0.0001095918,0.00003442399,0.0001157967,0.0007261232,0.0001295421,0.002476651],"genre_scores_gemma":[0.9887576,0.0008263079,0.005171645,0.0001037849,0.000007650539,0.0001844459,0.001218593,0.00003762461,0.003692342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003875777,"threshold_uncertainty_score":0.007706463,"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."}}