{"id":"W7116631298","doi":"10.1016/j.esmorc.2025.100103","title":"PRELIMINARY DOSE-VOLUME CONSTRAINTS PREDICTING SUBCUTANEOUS TISSUE FIBROSIS FOR LIMB SARCOMA USING THE VORTEX AND IMRIS TRIALS","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":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Fibrosis; Soft tissue sarcoma; Soft tissue; Thigh; Sarcoma; Subcutaneous tissue; Vortex","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":[],"consensus_categories":[],"category_scores_codex":[0.0004267318,0.0002463122,0.0006584196,0.0000973742,0.0002967055,0.00006223434,0.0001026666,0.0001386821,0.0001583964],"category_scores_gemma":[0.0005208803,0.0001740835,0.000187303,0.00018431,0.0002371856,0.00005782284,0.00006683341,0.0001478752,0.000002665312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688819,"about_ca_system_score_gemma":0.0003758674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004989105,"about_ca_topic_score_gemma":0.00003748196,"domain_scores_codex":[0.9984396,0.000115994,0.0004927256,0.0004202129,0.000179341,0.0003521708],"domain_scores_gemma":[0.9979792,0.001262562,0.0001904985,0.0003475403,0.0001084253,0.0001117389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005843031,0.0004760225,0.3363367,0.0009551413,0.002458397,0.0007973631,0.002091026,0.0001483821,0.00489978,0.0004826219,0.02277215,0.6227394],"study_design_scores_gemma":[0.04307815,0.01224958,0.6525518,0.00889443,0.01675509,0.00446667,0.01141097,0.01955902,0.0799652,0.002723991,0.1461905,0.002154635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716659,0.01898696,0.0004957396,0.004335823,0.000671868,0.002709419,0.0002610232,0.00009932789,0.0007739102],"genre_scores_gemma":[0.9955705,0.0004511529,0.002007836,0.0007294267,0.0002916495,0.0003092764,0.0000404456,0.0000303756,0.0005692687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6205847,"threshold_uncertainty_score":0.7098921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187978627994771,"score_gpt":0.3401438212695845,"score_spread":0.2982640349896368,"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."}}