{"id":"W7105602197","doi":"10.1016/bs.adioch.2025.09.011","title":"Opportunities and Challenges for Metal Chemistry in Molecular Imaging: From Gamma Camera Imaging to PET and Multimodality Imaging","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in inorganic chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Guy's and St Thomas' NHS Foundation Trust; Medical Research Council; Alzheimer’s Research UK; Manchester Biomedical Research Centre; King's College London; Leukaemia and Lymphoma Research; Engineering and Physical Sciences Research Council; Alzheimer Society; National Institute for Health and Care Research; Cancer Research UK; Wellcome Trust","keywords":"Multimodality; Pet imaging; Molecular imaging; Medical imaging; Gamma camera; Optical imaging; Nuclear imaging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800137,0.0007000703,0.0007335009,0.0007542612,0.0004929573,0.003011046,0.001356697,0.001638574,0.01070719],"category_scores_gemma":[0.0005166284,0.0004396247,0.0003680079,0.0008353804,0.001584138,0.004005649,0.00094367,0.002893267,0.006454763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051392,"about_ca_system_score_gemma":0.000701871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007363061,"about_ca_topic_score_gemma":0.001583346,"domain_scores_codex":[0.9998306,0.00002858479,0.000005647353,0.0000319865,0.00008474242,0.00001839326],"domain_scores_gemma":[0.9997556,0.0001636773,0.000008633719,0.00001418149,0.00004012738,0.00001781606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006073595,0.00009464829,0.00007684973,0.001551454,0.00002157419,0.0002530138,0.0004279704,0.001495861,0.0268237,0.4662382,0.1342771,0.3686789],"study_design_scores_gemma":[0.000006358293,0.00003851011,0.00005003991,0.0002116627,0.000007384153,0.0004247006,0.0001061681,0.001056967,0.007048112,0.07875527,0.9122759,0.00001887441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003494112,0.6810831,0.06495137,0.01716669,0.006512185,0.00004752776,0.0001714818,0.000758341,0.2258153],"genre_scores_gemma":[0.03001787,0.5197594,0.05667154,0.007287706,0.004375631,0.00009953397,0.000198343,0.0006443386,0.3809457],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01070719,"threshold_uncertainty_score":0.03581917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852752405076869,"score_gpt":0.3074793521864231,"score_spread":0.2789518281356544,"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."}}