{"id":"W4417530862","doi":"10.1016/j.esmorc.2025.100084","title":"PREDICTING FAILURE OF ACTIVE SURVEILLANCE IN DESMOID-TYPE FIBROMATOSIS USING RADIOMICS: AN INTERNATIONAL MULTI-CENTER STUDY","year":2025,"lang":"en","type":"article","venue":"ESMO rare cancers.","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Princess Margaret Cancer Centre; Sinai Health System","funders":"Sylvester Comprehensive Cancer Center, University of Miami Health Systems; Thomas Jefferson University; University of Miami","keywords":"Radiomics; Fibromatosis; Medical imaging; MEDLINE; Personalized 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":[0.001350384,0.0003921952,0.0003548047,0.001346345,0.0003815462,0.000882881,0.0004014823,0.0006097026,0.001043403],"category_scores_gemma":[0.003165112,0.0002350721,0.0004917108,0.000863619,0.0004239512,0.0007675593,0.0004734444,0.0005199797,0.0001757013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605104,"about_ca_system_score_gemma":0.0002406982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779573,"about_ca_topic_score_gemma":0.001911146,"domain_scores_codex":[0.9994814,0.0001943817,0.00006154783,0.0001041743,0.00006813094,0.00009036512],"domain_scores_gemma":[0.9981212,0.0005956976,0.0006313145,0.0001491878,0.0002123987,0.0002902188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001240374,0.00005256649,0.9981725,0.000005636735,0.00003658732,0.0001720547,0.00008175462,0.0000297518,0.0001638312,0.00001207763,0.00003563919,0.001113405],"study_design_scores_gemma":[0.00001455976,0.0003066295,0.996838,0.00001302492,0.0001194499,0.00133699,0.0005745127,0.0003717362,0.0001197313,0.0000259771,0.0002719596,0.000007419206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990903,0.0003071111,0.00007043105,0.00002476929,0.000004211106,0.0000101098,0.00006705386,0.000001485915,0.00042459],"genre_scores_gemma":[0.9996061,0.0001242356,0.00007492002,0.00001523408,0.00001332296,0.000004753048,0.0001165306,0.000001116921,0.00004375584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001779573,"threshold_uncertainty_score":0.00714159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232056340378441,"score_gpt":0.3448138099901654,"score_spread":0.312493246586381,"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."}}