{"id":"W2057725506","doi":"10.1148/rg.245045048","title":"Fast STIR Whole-Body MR Imaging in Children","year":2004,"lang":"en","type":"review","venue":"Radiographics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Magnetic resonance imaging; Radiology; Malignancy; Edema; Nuclear medicine; Pathology; Surgery","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":[0.0001434622,0.0004291016,0.001265283,0.0009653731,0.00007149665,0.00002245335,0.0002537249,0.0002768576,0.00001122354],"category_scores_gemma":[0.00001789072,0.0003730672,0.0006569455,0.001835268,0.0001514119,0.00006043142,0.00006032712,0.0009223059,0.00002000948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762507,"about_ca_system_score_gemma":0.0002383123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004040679,"about_ca_topic_score_gemma":0.000003127992,"domain_scores_codex":[0.9982582,0.00002912,0.0005818304,0.0005323589,0.0002197174,0.0003787549],"domain_scores_gemma":[0.9987853,0.00003999284,0.0002344675,0.0007360668,0.0000448739,0.0001592843],"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":[0.000002121829,0.0001875705,0.001609731,0.002692919,0.00005041215,0.00003914535,0.00001262814,0.000005054801,0.000001446876,0.003528601,0.0004218622,0.9914485],"study_design_scores_gemma":[0.0004001798,0.00003380452,0.0005130727,0.01686046,0.0006633934,0.0006190371,0.000005025968,0.000008333405,0.000001065445,0.0006917341,0.9798235,0.0003804253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005301406,0.9876564,0.009339166,0.0001560674,0.00003580642,0.001895378,0.0001108023,0.0002720196,0.0005290531],"genre_scores_gemma":[0.00004322567,0.9871811,0.01105386,0.00008788305,0.0002056183,0.0003781773,0.0008237486,0.0001090745,0.0001172731],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9910681,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918271095567595,"score_gpt":0.3504919299130496,"score_spread":0.3313092189573736,"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."}}