{"id":"W4415156561","doi":"10.1186/s41181-025-00391-2","title":"Quantitative dual-isotope preclinical SPECT/CT imaging and biodistribution of the mercury-197m/g theranostic pair with [197m/gHg]HgCl2 and a [197m/gHg]Hg-tetrathiol complex as a platform for radiopharmaceutical development","year":2025,"lang":"en","type":"article","venue":"EJNMMI Radiopharmacy and Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; University of Toronto; TRIUMF","keywords":"Biodistribution; In vivo; Preclinical imaging; Molecular imaging; Medical imaging; Clinical imaging; Pet imaging","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000454249,0.0004966356,0.0007074861,0.00004714515,0.0005167635,0.00007525794,0.000202501,0.00008605912,0.0001213149],"category_scores_gemma":[0.0003152216,0.0003723005,0.0001443971,0.0003945483,0.001166534,0.0001400819,0.0001351908,0.0006869333,0.000002172128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231942,"about_ca_system_score_gemma":0.000420608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008744542,"about_ca_topic_score_gemma":4.230293e-7,"domain_scores_codex":[0.997524,0.00005018528,0.0007720893,0.0007918209,0.0003377511,0.0005242013],"domain_scores_gemma":[0.9979996,0.0008222825,0.0002322048,0.0003679393,0.0001600186,0.0004179291],"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":[0.004758039,0.0008755416,0.01658626,0.006227094,0.001032343,0.00007138942,0.0005466084,0.000007747287,0.9542361,0.001425399,0.002613011,0.01162043],"study_design_scores_gemma":[0.01021645,0.0001350225,0.00691136,0.0008154456,0.00107026,0.00162862,0.000609316,0.005238841,0.9201997,0.0004446991,0.05215241,0.000577855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839776,0.006609265,0.0005436239,0.005758581,0.00009554464,0.00143908,0.0001910306,0.00009010724,0.00129518],"genre_scores_gemma":[0.9961377,0.0007335705,0.001462045,0.0005874099,0.0001600663,0.0002016906,0.0001116677,0.00003325852,0.0005725732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0495394,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610131961789679,"score_gpt":0.3724856171040168,"score_spread":0.32638429748612,"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."}}