{"id":"W2022571054","doi":"10.1055/s-0029-1237689","title":"Imaging of Benign Pediatric Soft Tissue Tumors","year":2009,"lang":"en","type":"review","venue":"Seminars in Musculoskeletal Radiology","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Soft tissue; Magnetic resonance imaging; Radiology; Presentation (obstetrics); Radiography; Ultrasonography; Modality (human–computer interaction); Physical examination; 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":[0.0007802837,0.0009312521,0.005688447,0.001402984,0.00006209304,0.000006113575,0.0004435743,0.000500549,0.0001341123],"category_scores_gemma":[0.001334676,0.0008131504,0.0009754791,0.001300528,0.0004799015,0.00006434959,0.0002037589,0.001229112,0.0001121055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003770062,"about_ca_system_score_gemma":0.0005167336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003188372,"about_ca_topic_score_gemma":0.000005441666,"domain_scores_codex":[0.995394,0.0004457695,0.001790007,0.001041434,0.0003914875,0.0009373196],"domain_scores_gemma":[0.9970668,0.0008940892,0.0007982495,0.0009208844,0.000113536,0.0002064334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000240025,0.0001547535,0.001806969,0.02620142,0.0001284557,0.002774869,0.0001344693,0.000001054418,0.000003893008,0.00009475902,0.002881428,0.9657939],"study_design_scores_gemma":[0.001360428,0.001548755,0.001899782,0.02236877,0.004685578,0.01239979,0.0001844548,0.000006525086,0.000004237495,0.0003049162,0.9539208,0.001315947],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001640835,0.9938433,0.00001738575,0.00007663108,0.0005057451,0.001508908,0.00003569253,0.0001133203,0.002258245],"genre_scores_gemma":[0.001061614,0.9957984,0.001074087,0.00005343189,0.001036478,0.0001380905,0.0002045766,0.0001361075,0.0004972168],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.964478,"threshold_uncertainty_score":0.9994319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774121831554579,"score_gpt":0.3444937743310015,"score_spread":0.3267525560154557,"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."}}