{"id":"W4288431972","doi":"10.1021/acsomega.2c03407","title":"Toward the Development of GE11-Based Radioligands for Imaging of Epidermal Growth Factor Receptor-Positive Tumors","year":2022,"lang":"en","type":"article","venue":"ACS Omega","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Bundesministerium für Bildung und Forschung","keywords":"Epidermal growth factor receptor; Chemistry; Cancer research; In vivo; Peptide; Positron emission tomography; Ligand (biochemistry); Rational design; Biophysics; Receptor; Computational biology; Medicine; Nuclear medicine; Biochemistry; Nanotechnology; Materials science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008086092,0.0001291704,0.0003418621,0.0001552645,0.0001547069,0.00000710495,0.0002881468,0.00002371752,0.000115819],"category_scores_gemma":[0.0003363774,0.00009871583,0.0001092501,0.0003344838,0.0001431304,0.00004177181,0.0001435844,0.0002609886,0.000002818947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486809,"about_ca_system_score_gemma":0.001101939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006064057,"about_ca_topic_score_gemma":0.000002423575,"domain_scores_codex":[0.9982486,0.0001031074,0.0004379548,0.0002279209,0.0006415654,0.0003408724],"domain_scores_gemma":[0.9987478,0.0004922026,0.0001527107,0.0002545034,0.0002591171,0.00009368675],"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":[0.005480474,0.001276127,0.324132,0.003817297,0.001079248,0.00009879837,0.06457186,0.0002175387,0.4528413,0.001532375,0.03504307,0.1099099],"study_design_scores_gemma":[0.002592623,0.000478344,0.04372281,0.0001718153,0.00004107306,0.00001942822,0.002419558,0.0003749036,0.9409516,0.00008854872,0.008953902,0.0001853496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904635,0.0003750534,0.001463864,0.00562316,0.0001705458,0.001032489,0.0001949458,0.00002575055,0.000650675],"genre_scores_gemma":[0.9962127,0.000006298032,0.002761857,0.0004156628,0.0000768039,0.0002901849,0.00006517815,0.00003312648,0.0001382366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4881104,"threshold_uncertainty_score":0.4025515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339359974201312,"score_gpt":0.3354542421718758,"score_spread":0.2820606424298627,"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."}}