{"id":"W4417530860","doi":"10.1016/j.esmorc.2025.100076","title":"GENOME-WIDE SEQUENCING ANALYSES REVEAL THE BIOLOGICAL DETERMINANTS OF RESECTION MARGIN STATUS IN PRIMARY RETROPERITONEAL DEDIFFERENTIATED LIPOSARCOMA","year":2025,"lang":"en","type":"article","venue":"ESMO rare cancers.","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Princess Margaret Cancer Centre; Hospital for Sick Children; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Liposarcoma; Resection margin; Resection; Margin (machine learning); Surgical margin; Radiation therapy","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":[0.0002836656,0.0001323931,0.0001555329,0.0002991924,0.0001120275,0.0002221501,0.0001189595,0.0001854879,0.001473015],"category_scores_gemma":[0.0004784738,0.0000960131,0.0001523675,0.0002810632,0.0001127291,0.00009135146,0.0001826701,0.0001739787,0.0001685576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200057,"about_ca_system_score_gemma":0.00009426591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003103959,"about_ca_topic_score_gemma":0.0008913883,"domain_scores_codex":[0.9998544,0.00002405312,0.00001442121,0.00004964254,0.00003386551,0.00002356567],"domain_scores_gemma":[0.9997881,0.00007349601,0.00008790375,0.00001153023,0.00001455368,0.00002433559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004169595,0.0002225874,0.6872775,0.0001790567,0.0003843256,0.001740741,0.0001798021,0.001395232,0.2661851,0.0001868998,0.0006280399,0.0374511],"study_design_scores_gemma":[0.00009165477,0.000412261,0.9828876,0.00001634559,0.0001448496,0.002240768,0.00009570892,0.001132341,0.01170972,0.0001338205,0.001128869,0.000006056216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987341,0.0002189537,0.0002335104,0.00002168863,0.000001328566,0.00000747822,0.0005852367,0.000006969191,0.00019077],"genre_scores_gemma":[0.9989583,0.00005812662,0.0002430059,0.00002009948,0.000001518245,0.000006058014,0.0006007297,0.000002204758,0.0001099405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001473015,"threshold_uncertainty_score":0.004927695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800347749770376,"score_gpt":0.3336131826764603,"score_spread":0.2756097051787566,"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."}}