{"id":"W2956355109","doi":"10.1088/1361-6560/ab3039","title":"Accuracy of kidney dosimetry performed using simplified time activity curve modelling methods: a <sup>177</sup> Lu-DOTATATE patient study","year":2019,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Dosimetry; Radionuclide therapy; Internal dosimetry; Medical physics; Protocol (science); Medicine; Nuclear medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000599687,0.0002644526,0.0009953243,0.0001979257,0.00004810888,0.000004931353,0.0001451887,0.00002107768,0.00007303906],"category_scores_gemma":[0.00122564,0.000186767,0.00006137633,0.0004874431,0.0002781286,0.0001614869,0.0002090007,0.0005512458,0.000008683609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005454193,"about_ca_system_score_gemma":0.0001775185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004256066,"about_ca_topic_score_gemma":0.000001425664,"domain_scores_codex":[0.9977502,0.0005083017,0.0004768177,0.0005338154,0.0002462158,0.0004846574],"domain_scores_gemma":[0.9976743,0.00125283,0.0002450397,0.0004318346,0.0001356301,0.0002602994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003230489,0.002517541,0.1720454,0.001159803,0.0004583565,0.0003218339,0.003620465,0.007694531,0.6953136,0.0001721472,0.0002138042,0.1132521],"study_design_scores_gemma":[0.01704334,0.01553748,0.002362816,0.001049446,0.0004255585,0.0003683942,0.00755881,0.8596765,0.08842289,0.005725362,0.001075062,0.0007543431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959821,0.0002568387,0.001785187,0.0003281536,0.00007097497,0.00121554,0.00001491698,0.00002286387,0.0003234866],"genre_scores_gemma":[0.9961457,0.0002428724,0.002977308,0.0003882911,0.0001347797,0.00002107877,0.00002776243,0.00002702845,0.00003517241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8519819,"threshold_uncertainty_score":0.7616136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2359551411519272,"score_gpt":0.4775275228046434,"score_spread":0.2415723816527162,"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."}}