{"id":"W4311663554","doi":"10.1186/s40644-022-00505-y","title":"Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer","year":2022,"lang":"en","type":"review","venue":"Cancer Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Dosimetry; Prostate cancer; Radionuclide therapy; Radiation therapy; Medical physics; Nuclear medicine; Cancer; Radiology; Internal medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002252365,0.000397665,0.001539308,0.0001609084,0.0001099123,0.00002174901,0.0002548065,0.00007552807,0.00143345],"category_scores_gemma":[0.00008202231,0.0003537724,0.0008633353,0.0005588453,0.0003151736,0.00007847982,0.00004374369,0.0005726832,5.475908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484297,"about_ca_system_score_gemma":0.00115263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008918916,"about_ca_topic_score_gemma":2.159274e-7,"domain_scores_codex":[0.9979285,0.00006473781,0.0007461148,0.0005296257,0.0003551479,0.0003758652],"domain_scores_gemma":[0.9980468,0.000706683,0.0004901855,0.0004303012,0.0001223766,0.0002036595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001392954,0.000149721,0.0005877678,0.02049634,0.0003406161,0.000008449014,0.00003376044,0.00002445412,0.002041723,0.00002041204,0.0010678,0.9750897],"study_design_scores_gemma":[0.001144705,0.00001237994,0.000007415933,0.00488898,0.001937205,0.00002153341,0.00001826981,0.002662612,0.01444546,0.000002959107,0.9745674,0.0002911436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001364141,0.9963522,0.0004036282,0.0004826976,0.0002168863,0.001317398,0.0009640437,0.00004465145,0.0000820797],"genre_scores_gemma":[0.001360139,0.9950172,0.0005596715,0.0008153312,0.0004134591,0.001437627,0.0001899501,0.0001123726,0.00009427966],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9747985,"threshold_uncertainty_score":0.9998914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.307150849380783,"score_gpt":0.5094193382694218,"score_spread":0.2022684888886388,"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."}}