{"id":"W4403602364","doi":"10.1016/j.chempr.2024.09.029","title":"Cluster-based redox-responsive super-atomic MRI contrast agents","year":2024,"lang":"en","type":"article","venue":"Chem","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Western University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Stavros Niarchos Foundation; Mitacs; Consejo Nacional de Ciencia y Tecnología; Canada Foundation for Innovation; University of Ottawa","keywords":"Cluster (spacecraft); Redox; Contrast (vision); Chemistry; Nanotechnology; Materials science; Computer science; Artificial intelligence; Inorganic chemistry","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002289725,0.000128708,0.0001642127,0.00006325541,0.00007935348,0.0001719174,0.0001681768,0.00005169141,0.00281573],"category_scores_gemma":[0.00002316595,0.0001042603,0.00008880587,0.0001112679,0.0000782549,0.0001559115,0.00002625947,0.00008066489,0.002791034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003504914,"about_ca_system_score_gemma":0.00008222005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126814,"about_ca_topic_score_gemma":0.000009637851,"domain_scores_codex":[0.99903,0.00006425544,0.0001795097,0.0003009095,0.0001925805,0.0002327312],"domain_scores_gemma":[0.9995062,0.0001459822,0.0000186282,0.000204557,0.00004147819,0.000083135],"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":[0.00006198903,0.00003059917,0.00002010703,0.00008052232,0.00001205044,0.00007537647,0.0002478948,0.000023096,0.9915858,0.0009205439,0.006803693,0.0001383091],"study_design_scores_gemma":[0.0004459187,0.00004156365,0.0002472019,0.00007389721,0.00003247753,0.00001886901,0.00006192379,0.001750898,0.9823951,0.0009657308,0.01380723,0.0001591505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928725,0.0003361287,0.002913053,0.001061629,0.0007793946,0.0001618397,0.0001206114,0.0002473205,0.001507458],"genre_scores_gemma":[0.9979179,0.000007503156,0.0005311804,0.0007546034,0.0001365397,0.00001836685,0.00003305753,0.0000194146,0.0005814474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009190684,"threshold_uncertainty_score":0.9980958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100709967818352,"score_gpt":0.2684029997432869,"score_spread":0.2473959000651033,"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."}}