{"id":"W2019210017","doi":"10.1148/rg.e36","title":"Pediatric Soft-Tissue Tumors and Pseudotumors: MR Imaging Features with Pathologic Correlation","year":2009,"lang":"en","type":"review","venue":"Radiographics","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Soft tissue; Pigmented villonodular synovitis; Magnetic resonance imaging; Pathology; Hemosiderin; Neurofibroma; Differential diagnosis; Dermatofibrosarcoma protuberans; Nerve sheath tumor; Biopsy; Synovitis; Radiology; Schwannoma; Neurofibromatosis; Arthritis","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":[0.0004362213,0.0009602458,0.001001937,0.003316236,0.0002288793,0.0009184084,0.0004836655,0.0007990024,0.001654041],"category_scores_gemma":[0.001285041,0.0003449836,0.0003989158,0.002311176,0.0008976151,0.001434172,0.0005893352,0.001063416,0.001555666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946251,"about_ca_system_score_gemma":0.0003536083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004512042,"about_ca_topic_score_gemma":0.000655147,"domain_scores_codex":[0.9995964,0.00007310426,0.0001075025,0.00006734398,0.000113855,0.00004186387],"domain_scores_gemma":[0.9990441,0.000379086,0.0003603014,0.00002784322,0.0001273879,0.00006125033],"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":[0.0001611629,0.0001255145,0.03817496,0.009690284,0.0002580276,0.1194248,0.001068572,0.001157354,0.01754348,0.006243911,0.03379675,0.7723552],"study_design_scores_gemma":[0.0000127445,0.0001989053,0.03798854,0.002376356,0.0002569969,0.7224211,0.0006388766,0.0003791471,0.003681126,0.002019517,0.2299658,0.00006085326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01526927,0.9706434,0.004429756,0.0009854656,0.001023653,0.00004438033,0.00007474657,0.0001027192,0.007426582],"genre_scores_gemma":[0.06596866,0.9190978,0.006548239,0.0009962121,0.004225517,0.00006059381,0.0001957967,0.00004424719,0.002863054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003316236,"threshold_uncertainty_score":0.005533278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895941297356424,"score_gpt":0.3011818852593114,"score_spread":0.2822224722857472,"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."}}