{"id":"W3016939765","doi":"10.1016/j.ejso.2020.03.225","title":"Is it time for a change in the model of care for AYA patients with soft tissue sarcoma? How to improve outcomes for patients aged 15-25 using a mixed pediatric-adult cancer care model in expert sarcoma centers","year":2020,"lang":"en","type":"letter","venue":"European Journal of Surgical Oncology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Scopus; Sarcoma; Population; Cancer; Incidence (geometry); Young adult; Soft tissue sarcoma; MEDLINE; Pediatrics; Gerontology; Internal medicine; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002416507,0.000532597,0.001788732,0.0004045581,0.00007925398,0.00002659909,0.0004254786,0.0002317791,0.000008016408],"category_scores_gemma":[0.0001419831,0.0003324987,0.0005840035,0.0001792229,0.00005544357,0.00009974065,0.0000998535,0.0006634441,0.000001089459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008025448,"about_ca_system_score_gemma":0.0003132823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005696675,"about_ca_topic_score_gemma":0.00007873643,"domain_scores_codex":[0.9968415,0.0003680277,0.001065884,0.0005297323,0.0005734231,0.0006213809],"domain_scores_gemma":[0.9966654,0.0008055677,0.0009783534,0.0002756937,0.001075589,0.0001993751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02446131,0.006150222,0.3591329,0.004302707,0.001367733,0.004575015,0.08638244,0.001049905,0.00006514455,0.000003800961,0.4440598,0.06844904],"study_design_scores_gemma":[0.3128439,0.09135725,0.05224909,0.005233399,0.007330821,0.0001294256,0.00656439,0.02475061,0.0002311765,0.00003571001,0.4958369,0.003437325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6623821,0.001578457,0.0007222989,0.3215054,0.0005491118,0.009297884,0.003902918,0.00001253384,0.00004935264],"genre_scores_gemma":[0.7832464,0.0003961874,0.0133882,0.1990996,0.001939704,0.0009511599,0.0006395074,0.0002774475,0.00006180116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3068838,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697733023563465,"score_gpt":0.3266032913088213,"score_spread":0.2696259610731866,"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."}}