{"id":"W4398143702","doi":"10.1007/s00330-024-10788-3","title":"Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [18F]SiTATE","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Standardization; Neuroendocrine tumors; Neuroradiology; Interventional radiology; Radiology; Medical physics; Pathology; Computer science; Neurology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005552388,0.0002077057,0.0003123618,0.0001297492,0.0002158774,0.00004807166,0.00033472,0.000006580351,0.00002994118],"category_scores_gemma":[0.002603965,0.0001252561,0.0001871561,0.0004683185,0.0003125489,0.0001178025,0.0001801132,0.0005343743,0.000009398751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007526288,"about_ca_system_score_gemma":0.0001319114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007410566,"about_ca_topic_score_gemma":8.445971e-7,"domain_scores_codex":[0.9977291,0.0005496701,0.0005063376,0.0004258762,0.0003150587,0.0004739757],"domain_scores_gemma":[0.9984608,0.0006406906,0.0001720661,0.0004775097,0.0001672066,0.00008177297],"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":[0.001415665,0.0002571794,0.01760254,0.001930284,0.0005704686,0.003918995,0.001333807,0.04531479,0.890725,0.01875042,0.01430014,0.003880715],"study_design_scores_gemma":[0.007879022,0.005165308,0.04103036,0.004247918,0.001428988,0.04650057,0.002267029,0.0701483,0.4727784,0.007098471,0.3398563,0.001599352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390358,0.0008523435,0.05224083,0.004542223,0.001048987,0.001164523,0.00007890878,0.000149473,0.0008869563],"genre_scores_gemma":[0.9942564,0.00007544475,0.004108333,0.0003429835,0.0006259331,0.0000143084,0.00003056147,0.0000981082,0.0004479463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179466,"threshold_uncertainty_score":0.5107795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512145284014705,"score_gpt":0.3383585978250878,"score_spread":0.3032371449849407,"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."}}