{"id":"W2583178166","doi":"10.1021/acsbiomaterials.6b00649","title":"EGFR-Targeted Metal Chelating Polymers (MCPs) Harboring Multiple Pendant PEG<sub>2K</sub> Chains for MicroPET/CT Imaging of Patient-Derived Pancreatic Cancer Xenografts","year":2017,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; U.S. Food and Drug Administration; Cancer Research Institute","keywords":"DOTA; Biodistribution; Conjugate; Chemistry; Chelation; PEG ratio; Polyethylene glycol; Covalent bond; Polymer; Ethylene glycol; Polymer chemistry; Combinatorial chemistry; In vitro; Organic chemistry; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0004027086,0.0002747968,0.00045685,0.0001309657,0.0005706429,0.0001488061,0.0004234831,0.00003115103,0.00002006543],"category_scores_gemma":[0.0005661072,0.0002350229,0.0001138206,0.0002303871,0.0004004005,0.0004185499,0.0001543693,0.00006912524,0.000002986547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300044,"about_ca_system_score_gemma":0.0001356195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001483048,"about_ca_topic_score_gemma":0.000001461573,"domain_scores_codex":[0.9980378,0.000009557157,0.0005011255,0.0004883431,0.0003076989,0.0006554874],"domain_scores_gemma":[0.9986812,0.00007455747,0.0003221674,0.0005296666,0.000123423,0.0002689428],"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":[0.00003323886,0.00004009568,0.001512829,0.0002021524,0.00004039754,0.00001116977,0.0001892665,0.0001833298,0.9964767,0.00003130213,0.000002008963,0.001277521],"study_design_scores_gemma":[0.0008262815,0.00002935743,0.005670141,0.0002646085,0.0001449448,0.0000450567,0.00009686214,0.009070111,0.9834637,0.000001633305,0.0001208329,0.0002664909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974322,0.000377567,0.000596323,0.0002542561,0.0004821356,0.0006008182,0.0001163516,0.0001143238,0.00002602444],"genre_scores_gemma":[0.9967387,0.00004761713,0.002716595,0.00002775675,0.0002118296,0.000187915,0.00002103747,0.00004192754,0.000006613986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301301,"threshold_uncertainty_score":0.9583957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187593003853431,"score_gpt":0.2926818116128531,"score_spread":0.27392251122751,"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."}}