{"id":"W3195378863","doi":"10.3390/nano11092154","title":"Design, Synthesis, and Cytotoxicity Assessment of [64Cu]Cu-NOTA-Terpyridine Platinum Conjugate: A Novel Chemoradiotherapeutic Agent with Flexible Linker","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Conjugate; Linker; Chemistry; Internalization; Cancer cell; Cytotoxicity; Cytotoxic T cell; Platinum; Stereochemistry; Moiety; Combinatorial chemistry; In vitro; Biophysics; Biochemistry; Cancer; Cell; Biology; Catalysis","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":[0.0002735876,0.0002086075,0.0005939967,0.0000287879,0.00007191992,0.00004236496,0.00007293964,0.0001199996,0.0007032923],"category_scores_gemma":[0.00005435928,0.0001648016,0.00004912823,0.0001605605,0.0001395388,0.00005310006,0.00003750112,0.00008631019,0.00000422351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006831638,"about_ca_system_score_gemma":0.0002442263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004202472,"about_ca_topic_score_gemma":1.583088e-7,"domain_scores_codex":[0.9987239,0.00005197459,0.0004115889,0.0003551489,0.0002248869,0.0002325372],"domain_scores_gemma":[0.9990054,0.0002012033,0.0001569379,0.0003441988,0.0001247875,0.0001674581],"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":[0.0002403877,0.0003797974,0.001072922,0.000422462,0.0001747637,0.00003057434,0.00003819893,0.00001332467,0.9972327,0.0001534021,0.00003289599,0.0002085265],"study_design_scores_gemma":[0.001633202,0.000121501,0.006925803,0.0001889696,0.0002773079,0.0003058221,0.00002059821,0.0004869136,0.9892545,0.00002244959,0.000590762,0.0001721288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904595,0.0002919953,0.007135577,0.0007241318,0.00004584182,0.0005318025,0.00007424378,0.00006600983,0.0006709231],"genre_scores_gemma":[0.9763123,0.0001236207,0.0226032,0.0003317014,0.0001253731,0.0001668231,0.00002956565,0.00003008078,0.0002773397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546763,"threshold_uncertainty_score":0.7700557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663517661088704,"score_gpt":0.3415516930251768,"score_spread":0.2849165164142898,"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."}}