{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518986,0.0003069128,0.0008015735,0.00008756955,0.00006503583,0.00001924935,0.0001020381,0.0003887814,0.0004267656],"category_scores_gemma":[0.00002360267,0.000201803,0.0001666841,0.0004565621,0.0001864814,0.00004516856,0.00003000927,0.0003804761,0.00002730915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002923994,"about_ca_system_score_gemma":0.0005102673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003441053,"about_ca_topic_score_gemma":6.993186e-7,"domain_scores_codex":[0.9985758,0.00004765849,0.0004018485,0.0005416275,0.0001660209,0.0002670434],"domain_scores_gemma":[0.9989856,0.0001765184,0.0001649616,0.0003987074,0.00004041331,0.0002338107],"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":[0.00004944797,0.000109963,0.00003526958,0.004059785,0.000308445,0.00001465666,0.000006497055,2.325881e-9,0.00008871051,0.0003045753,0.003917918,0.9911047],"study_design_scores_gemma":[0.0006729355,0.00001578431,0.00004786555,0.002596243,0.0002889308,0.0001417583,0.000005855193,0.000001533708,0.00007359382,0.00005419598,0.9958701,0.0002312777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004722985,0.9916276,0.00003695194,0.003518123,0.00009450952,0.002155271,0.0001083265,0.00005682911,0.002397695],"genre_scores_gemma":[0.00001776008,0.9931521,0.0007271095,0.0001938798,0.001516187,0.003909746,0.00006653437,0.00004921868,0.0003674096],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9919521,"threshold_uncertainty_score":0.8229287,"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."}}