{"id":"W4417530851","doi":"10.1016/j.esmorc.2025.100096","title":"DATA DRIVEN MODELLING OF SPATIAL HETEROGENEITY IN SOFT TISSUE SARCOMAS IDENTIFIES PROGNOSTIC GROUPS FOLLOWING NEOADJUVANT CHEMOTHERAPY: ANALYSIS OF THE ISG-STS-1001 TRIAL","year":2025,"lang":"en","type":"article","venue":"ESMO rare cancers.","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Soft tissue; Radiation therapy; Neoadjuvant therapy; Data-driven; Tumour heterogeneity; Sarcoma; Spatial heterogeneity","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":[0.01361809,0.001020455,0.002125081,0.0003682182,0.0002041609,0.001223991,0.001649588,0.001231621,0.002572134],"category_scores_gemma":[0.02004842,0.000550767,0.002563993,0.0006108024,0.0006009223,0.0006524508,0.0008521402,0.001748498,0.0004343418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036084,"about_ca_system_score_gemma":0.001200381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005974259,"about_ca_topic_score_gemma":0.004829119,"domain_scores_codex":[0.9966283,0.002775592,0.00008587556,0.0002627847,0.0001024461,0.000144961],"domain_scores_gemma":[0.9780775,0.01856684,0.001318434,0.00119038,0.0003643522,0.0004824322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04494409,0.0009850484,0.06740031,0.0006043208,0.003827788,0.0002758089,0.0001534472,0.8381316,0.001169115,0.003300381,0.009643781,0.02956422],"study_design_scores_gemma":[0.005128821,0.003173667,0.02500819,0.00007254841,0.001477539,0.0001410703,0.00009173618,0.954936,0.0009538068,0.006161253,0.002786652,0.00006855715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819874,0.001550414,0.006517288,0.002171864,0.0001009668,0.0001706296,0.006050373,0.0001328104,0.001318069],"genre_scores_gemma":[0.9921141,0.0002103617,0.001975782,0.0002177014,0.00004310473,0.0001806757,0.004267151,0.00003920612,0.0009519299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361809,"threshold_uncertainty_score":0.07202017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480526418381184,"score_gpt":0.2916081398782909,"score_spread":0.2668028756944791,"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."}}