{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656179,0.0003849601,0.0002382789,0.0006626216,0.0001321562,0.0003320375,0.000227099,0.00038234,0.001407668],"category_scores_gemma":[0.003852956,0.000128817,0.0002665828,0.0003142642,0.0002707325,0.0003076873,0.000181448,0.0003589578,0.0003284956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182308,"about_ca_system_score_gemma":0.0002342397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006679686,"about_ca_topic_score_gemma":0.001070285,"domain_scores_codex":[0.9998145,0.0000481522,0.00002562554,0.0000346074,0.00004858173,0.00002854415],"domain_scores_gemma":[0.9979846,0.0009166597,0.0005267107,0.00007397685,0.0002217386,0.0002762212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097267,0.00000726399,0.9966699,0.000005243614,0.000009059505,0.0002676627,0.000009088339,0.0001331785,0.0005672485,0.00000561767,0.00004277769,0.002173322],"study_design_scores_gemma":[0.00001085271,0.0001429102,0.9927585,0.00001154276,0.00005017245,0.003586816,0.00006614205,0.001978246,0.001133059,0.00003340281,0.0002229918,0.000005274781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989427,0.0003794841,0.0001732565,0.00004182819,0.000008497596,0.000003268479,0.0001175282,0.00001167991,0.0003218312],"genre_scores_gemma":[0.9995733,0.00006293224,0.0001586864,0.000007805673,0.00001340502,0.000002274778,0.0001346091,0.000002150394,0.00004489687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407668,"threshold_uncertainty_score":0.004709184,"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."}}