{"id":"W2947932445","doi":"10.1097/mnm.0000000000001040","title":"Added predictive value of 18F-FDG PET/CT for pediatric rhabdomyosarcoma","year":2019,"lang":"en","type":"article","venue":"Nuclear Medicine Communications","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"","keywords":"Rhabdomyosarcoma; Medicine; Nuclear medicine; Predictive value; Radiology; Value (mathematics); Sarcoma; Internal medicine; Pathology; Computer science","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":[0.0003014228,0.0001918987,0.0005663712,0.0002263908,0.0001414376,0.000005459296,0.0005130396,0.0000191386,0.0005589905],"category_scores_gemma":[0.0003715174,0.0001525279,0.0001903332,0.0003552655,0.0002280426,0.00006792707,0.0001933419,0.0002302918,0.0001336454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000955102,"about_ca_system_score_gemma":0.0001057992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120318,"about_ca_topic_score_gemma":0.000006681212,"domain_scores_codex":[0.9985848,0.00009811608,0.0005015028,0.0002610009,0.0003164453,0.0002381547],"domain_scores_gemma":[0.9961381,0.001023841,0.0002385539,0.002145495,0.0002896439,0.0001643434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001095195,0.008089418,0.7128905,0.001174151,0.00155736,0.0001243981,0.003221442,0.00002928368,0.002760492,0.1385913,0.1176055,0.01286092],"study_design_scores_gemma":[0.02286913,0.006151642,0.6780974,0.001059572,0.003892205,0.001015055,0.004576283,0.01110494,0.0003608672,0.001968375,0.2683303,0.0005741499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287333,0.007157912,0.00004719196,0.02594773,0.000290509,0.002952695,0.0001075616,0.0001805609,0.03458251],"genre_scores_gemma":[0.9897093,0.001928136,0.006729474,0.0008377378,0.000142549,0.0001451421,0.000177352,0.00005705144,0.0002732457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507248,"threshold_uncertainty_score":0.6219908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308084042850754,"score_gpt":0.3147025389779767,"score_spread":0.2816216985494691,"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."}}