{"id":"W4391998127","doi":"10.21203/rs.3.rs-3941315/v1","title":"Healthy Tissue Metabolism Assessed by [18F]FDG PET/CT as a Marker of Prognosis and Adverse Events in Advanced Hodgkin Lymphoma Patients","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"National Institute for Health and Care Research","keywords":"Lymphoma; Medicine; Positron emission tomography; Hodgkin lymphoma; Adverse effect; Pet imaging; Internal medicine; Nuclear medicine; Radiology; Pathology; Oncology","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":[0.000421053,0.0001692172,0.0002763133,0.000363561,0.0001484138,0.0003953392,0.0001111009,0.0002499216,0.0005831312],"category_scores_gemma":[0.0008878743,0.0001203155,0.0001669819,0.0003541384,0.0001729135,0.000260459,0.0001627948,0.000190252,0.0001269732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892792,"about_ca_system_score_gemma":0.00008421596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006054715,"about_ca_topic_score_gemma":0.0008260628,"domain_scores_codex":[0.9998443,0.00006230808,0.00001832471,0.00002333889,0.00002511881,0.00002650329],"domain_scores_gemma":[0.9994769,0.0001255389,0.0002326474,0.00002340988,0.00004755301,0.00009401481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007065297,0.00002010459,0.9965454,0.000008612235,0.00002274037,0.0001459881,0.00001712507,0.00008036107,0.000734854,0.000005352265,0.00002635246,0.001686561],"study_design_scores_gemma":[0.00002440111,0.0004460367,0.99797,0.000004507312,0.00003224804,0.0007134536,0.00004158142,0.0003385489,0.0002877443,0.00001913253,0.0001194337,0.000002730681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992595,0.0004478028,0.00004253763,0.00001243721,0.000001367474,0.000003496473,0.00006607542,0.000001372681,0.0001653912],"genre_scores_gemma":[0.9997401,0.0000632755,0.00003539837,0.00001017997,0.000003569205,0.000003369527,0.0000968837,4.596082e-7,0.00004681983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006054715,"threshold_uncertainty_score":0.00222671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405030965231457,"score_gpt":0.4401067837533221,"score_spread":0.4060564741010075,"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."}}