{"id":"W3192284081","doi":"10.1016/j.ebiom.2021.103531","title":"Radiomics: The endocrinologists’ new best friend?","year":2021,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Adipose tissue; Weight loss; Body mass index; Obesity; Radiomics; Internal medicine; Bioinformatics; Radiology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004007573,0.0006275505,0.001271088,0.0003617683,0.0002106019,0.00007633176,0.0006414279,0.0007096336,0.001822293],"category_scores_gemma":[0.001172941,0.0003825638,0.0004013215,0.0006045467,0.0008964725,0.00004416226,0.0002252258,0.00679162,0.0003070564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224794,"about_ca_system_score_gemma":0.0008540851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006332831,"about_ca_topic_score_gemma":0.000003349726,"domain_scores_codex":[0.996102,0.0001630431,0.0007440002,0.0008793016,0.001121699,0.0009898919],"domain_scores_gemma":[0.9972346,0.0004701827,0.000312241,0.00145233,0.0001503812,0.0003802472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002133839,0.00004204253,0.0002299551,0.0002357718,0.0003515687,0.00956567,0.0002339733,0.000001085562,0.0003328429,0.00003632848,0.9507544,0.03819502],"study_design_scores_gemma":[0.002205927,0.0003119772,0.0002167145,0.0008807823,0.0007715514,0.004863294,0.0001798626,0.0002469968,0.0001002718,0.0001733755,0.9896928,0.0003564414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003737961,0.01235425,0.001326796,0.963838,0.003483095,0.0005379012,0.00001592432,0.0001799345,0.01789025],"genre_scores_gemma":[0.0008366118,0.001941731,0.001368488,0.872361,0.04201272,0.00002941413,0.00149599,0.0001648386,0.07978921],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09147707,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713013240347573,"score_gpt":0.2985642889577194,"score_spread":0.2714341565542436,"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."}}