{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927728,0.0007270177,0.0007778247,0.0003794471,0.0001203402,0.0009364969,0.0006221872,0.0004995393,0.003553933],"category_scores_gemma":[0.006058288,0.0002573043,0.0009508451,0.000289208,0.0003390733,0.0005116835,0.0005020804,0.0009588901,0.0005973894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004739139,"about_ca_system_score_gemma":0.0006357672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620577,"about_ca_topic_score_gemma":0.002847726,"domain_scores_codex":[0.9991885,0.0005652108,0.00002678227,0.00006058239,0.0001213788,0.00003748521],"domain_scores_gemma":[0.9970124,0.002229977,0.00033765,0.0001324959,0.0001256194,0.0001618823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0581124,0.001836739,0.08959938,0.001441854,0.001763749,0.0004459796,0.0002505476,0.6238409,0.05051368,0.005538533,0.01179014,0.1548661],"study_design_scores_gemma":[0.009073995,0.02601736,0.09105819,0.0003846429,0.002290878,0.0009199804,0.0003711991,0.8067424,0.03756566,0.007215303,0.01812305,0.000237379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384863,0.007620661,0.03203638,0.001473883,0.0001775048,0.0004611764,0.005177904,0.0005470895,0.0140191],"genre_scores_gemma":[0.9820479,0.0008538825,0.01113968,0.0002736204,0.00006611076,0.0002172003,0.003142782,0.0002757958,0.001983084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003553933,"threshold_uncertainty_score":0.01548356,"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."}}