{"id":"W4303962082","doi":"10.3390/pharmaceutics14102114","title":"Toward Optimized 89Zr-Immuno-PET: Side-by-Side Comparison of [89Zr]Zr-DFO-, [89Zr]Zr-3,4,3-(LI-1,2-HOPO)- and [89Zr]Zr-DFO*-Cetuximab for Tumor Imaging: Which Chelator Is the Most Suitable?","year":2022,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft; Bundesministerium für Bildung und Forschung; Wilhelm Sander-Stiftung","keywords":"Cetuximab; Biodistribution; Chemistry; Pet imaging; Derivatization; Chelation; In vivo; Positron emission tomography; Ex vivo; Radiochemistry; Nuclear chemistry; Nuclear medicine; Chromatography; High-performance liquid chromatography; In vitro; Monoclonal antibody; Antibody; Biochemistry; Organic chemistry; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004024422,0.0004422417,0.0004637745,0.0001595038,0.0001135348,0.0004615768,0.0003768666,0.000592374,0.0008692174],"category_scores_gemma":[0.0003925603,0.0002579011,0.0002084229,0.0002940693,0.0002111027,0.0003547306,0.0002387815,0.0003800378,0.0004064696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303168,"about_ca_system_score_gemma":0.0002339988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007824416,"about_ca_topic_score_gemma":0.001254026,"domain_scores_codex":[0.9997917,0.00004266277,0.00001306876,0.00005508865,0.00005946566,0.00003804154],"domain_scores_gemma":[0.9998952,0.0000249174,0.00002989917,0.000008353411,0.00002853617,0.00001311608],"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":[0.0002361822,0.00001746852,0.0001072536,0.0000662578,0.000008170858,0.00002568892,0.00001256515,0.0002253856,0.997956,0.00005772421,0.00003073866,0.001256451],"study_design_scores_gemma":[0.00001670285,0.0002742378,0.0007799997,0.000003706917,0.0000255103,0.0001131574,0.000009790449,0.001318205,0.9959876,0.00002087345,0.001441443,0.000008694255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799712,0.002868774,0.01414446,0.00007275056,0.00003280057,0.00009225425,0.0005124276,0.0001049749,0.002200363],"genre_scores_gemma":[0.9606363,0.002808837,0.03226089,0.0000951865,0.00001878195,0.0001203364,0.001345285,0.0001372226,0.002577189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008692174,"threshold_uncertainty_score":0.002907813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06496952678977488,"score_gpt":0.3815009955512827,"score_spread":0.3165314687615078,"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."}}