{"id":"W4389752263","doi":"10.1111/jne.13359","title":"Use and perceived utility of <scp> [ <sup>18</sup> F]FDG PET/CT </scp> in neuroendocrine neoplasms: A consensus report from the <scp>European Neuroendocrine Tumor Society (ENETS) Advisory Board Meeting</scp> 2022","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroendocrinology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"Sirtex Medical; Servier; European Society for Medical Oncology; Novo Nordisk; Eisai; Mylan; Ipsen; Sociedad Española de Oncología Médica; Incyte; Novo Nordisk Fonden; Boston Scientific Corporation; Amgen; Pfizer; AstraZeneca; Eli Lilly and Company","keywords":"Neuroendocrine tumors; Medicine; Somatostatin; Neuroendocrine carcinoma; Internal medicine; Radionuclide therapy; Biopsy; Oncology; Nuclear medicine; Carcinoma","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006286071,0.001172149,0.002555589,0.001098746,0.0003700654,0.0001691414,0.00137424,0.00001019172,0.00007285242],"category_scores_gemma":[0.0267976,0.0009544677,0.001092592,0.001881207,0.001784302,0.0005612512,0.001686607,0.004073578,0.00005587551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259686,"about_ca_system_score_gemma":0.0006888395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008075077,"about_ca_topic_score_gemma":0.0001613327,"domain_scores_codex":[0.9867532,0.003195317,0.003654521,0.00176661,0.001924056,0.002706287],"domain_scores_gemma":[0.9819231,0.01203207,0.002207999,0.001933141,0.0009150583,0.00098864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0003389494,0.0005663856,0.2491931,0.0002520028,0.0003467188,0.6348517,0.0002278495,0.0006431449,0.01934846,0.00001235403,0.09348984,0.0007295003],"study_design_scores_gemma":[0.00637495,0.002010201,0.4129787,0.0002571305,0.0003687671,0.4568243,0.00299204,0.002751492,0.005428445,0.0001598216,0.1097005,0.0001536684],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891475,0.001310657,0.000002631958,0.005907673,0.0008084695,0.001425506,0.0001901083,0.0002770634,0.0009303514],"genre_scores_gemma":[0.9842939,0.00933355,0.0005340023,0.002417581,0.0005115045,0.00004862375,0.00005422858,0.0003054216,0.002501202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1780274,"threshold_uncertainty_score":0.9992906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238816431738071,"score_gpt":0.3008576383551292,"score_spread":0.2584694740377484,"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."}}