{"id":"W2396257069","doi":"10.4137/bic.s31804","title":"Targeted Radionuclide Therapy: Practical Applications and Future Prospects","year":2016,"lang":"en","type":"review","venue":"Biomarkers in Cancer","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Medicine; Reimbursement; Medical physics; Radionuclide therapy; Multidisciplinary approach; Radiation therapy; Limiting; Targeted therapy; Personalized medicine; Intensive care medicine; Cancer; Health care; Nuclear medicine; Bioinformatics; Internal medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623494,0.001027726,0.001347151,0.002350773,0.0004088571,0.001690878,0.001108335,0.002140697,0.004803109],"category_scores_gemma":[0.00118259,0.0003879964,0.0008180447,0.002372067,0.001132893,0.002823793,0.001041267,0.002628281,0.002276865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101847,"about_ca_system_score_gemma":0.001422426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034397,"about_ca_topic_score_gemma":0.001824502,"domain_scores_codex":[0.9996228,0.00007404637,0.0000382989,0.0000653819,0.0001449206,0.00005451169],"domain_scores_gemma":[0.9994294,0.0002978553,0.00005711785,0.00001922087,0.0001443399,0.00005198393],"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":[0.00007949218,0.0001249388,0.0002274295,0.0134958,0.00005002811,0.0003561682,0.0001450724,0.0007759189,0.00287801,0.01686212,0.03197065,0.9330345],"study_design_scores_gemma":[0.00001249127,0.00008224742,0.0003395785,0.00274958,0.00004029719,0.00127049,0.0001009809,0.0001785741,0.0005705943,0.007906547,0.9867274,0.00002118258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001050264,0.9975523,0.000210401,0.0006113627,0.0002039296,0.000003506173,0.000006647624,0.000005529668,0.001301332],"genre_scores_gemma":[0.0009208767,0.9976696,0.0002892932,0.0002860848,0.0001970614,0.000007022886,0.00001166611,0.000001588499,0.000616778],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004803109,"threshold_uncertainty_score":0.01606804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07056849417877095,"score_gpt":0.4401333037080558,"score_spread":0.3695648095292848,"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."}}