{"id":"W2222898662","doi":"10.2967/jnumed.114.149583","title":"In Vivo Evaluation of <sup>18</sup>F-SiFA<i>lin</i>–Modified TATE: A Potential Challenge for <sup>68</sup>Ga-DOTATATE, the Clinical Gold Standard for Somatostatin Receptor Imaging with PET","year":2015,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Alberta; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"In vivo; Somatostatin receptor; Biodistribution; Chemistry; Somatostatin; Radionuclide therapy; Radiochemistry; Ex vivo; Preclinical imaging; Receptor; Nuclear medicine; In vitro; Biochemistry; Medicine; Internal medicine","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":[0.0002847635,0.0003420917,0.0001723747,0.0001212878,0.00006611271,0.0001892105,0.0001937971,0.000459196,0.0007935668],"category_scores_gemma":[0.0002679688,0.0001160133,0.0001608561,0.0001110504,0.000182251,0.0002052252,0.0000892715,0.0003123602,0.0003384842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739208,"about_ca_system_score_gemma":0.0001148633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808159,"about_ca_topic_score_gemma":0.0004386331,"domain_scores_codex":[0.9999083,0.00002513753,0.000004575519,0.00001999317,0.00001818939,0.00002372909],"domain_scores_gemma":[0.9998547,0.00005231042,0.0000322876,0.00001442844,0.00002288686,0.00002337468],"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":[0.0002435687,0.00002919856,0.00009234667,0.00002950184,0.000005847765,0.0000329483,0.00001062307,0.00008208102,0.9983658,0.00002649438,0.00002004076,0.001061431],"study_design_scores_gemma":[0.00001237822,0.001050784,0.0009252663,0.000002558618,0.00001353506,0.0001187645,0.000009694488,0.0005998013,0.9963787,0.000007739785,0.0008774355,0.000003263194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914166,0.001550983,0.005604389,0.00004506083,0.00002409032,0.00005801706,0.0001916515,0.00006283835,0.001046265],"genre_scores_gemma":[0.9879743,0.001192935,0.00762353,0.00006090448,0.00001130248,0.00007231814,0.0004832742,0.00004157438,0.00253986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007935668,"threshold_uncertainty_score":0.002654791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09322028147510181,"score_gpt":0.4115757426842371,"score_spread":0.3183554612091353,"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."}}