{"id":"W6964956516","doi":"10.26044/ecr2019/c-0611","title":"PET-CT and whole body diffusion MRI in initial assessment and follow up of pediatric Lymphoma","year":2019,"lang":"en","type":"article","venue":"European Society of Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Association of University Teachers; Canadian Association for Graduate Studies","funders":"","keywords":"Whole body imaging; Lymphoma; Magnetic resonance imaging; Diffusion; Effective diffusion coefficient","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":[0.0004691694,0.0001218513,0.0004323906,0.00005652906,0.00002041323,0.000003267253,0.00007640575,0.0000229425,0.0000650517],"category_scores_gemma":[0.00001557903,0.0001118102,0.00009581655,0.0001166553,0.0001601199,0.00003798522,0.0001247812,0.0001215356,0.000006227529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005972336,"about_ca_system_score_gemma":0.00008098176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003757343,"about_ca_topic_score_gemma":0.000001867912,"domain_scores_codex":[0.9989111,0.0001964668,0.0003090216,0.0002771671,0.0001302182,0.0001760512],"domain_scores_gemma":[0.9993265,0.000199968,0.0001555661,0.0002134114,0.00003644381,0.00006807555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005957938,0.0001215428,0.9588729,0.0002934848,0.00005646745,0.00004808289,0.0007671809,0.00000251093,0.00476626,0.00003698231,0.03361727,0.001357808],"study_design_scores_gemma":[0.007012406,0.0008139784,0.9843457,0.00006342283,0.00008829877,0.0002930564,0.0005013896,0.0003525079,0.0001927725,0.00001729872,0.006205792,0.0001133161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951373,0.001026755,0.0000216537,0.000977268,0.0002413082,0.0002658608,0.00001752423,0.00001323575,0.002299085],"genre_scores_gemma":[0.9891179,0.008507784,0.001612618,0.0003448405,0.0001769195,0.000003484811,0.00002265368,0.00002385387,0.000189929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02741147,"threshold_uncertainty_score":0.4559488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519322708636509,"score_gpt":0.2918397945043134,"score_spread":0.2766465674179482,"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."}}