{"id":"W3217466224","doi":"10.1016/j.cpet.2021.09.006","title":"Artificial Intelligence in Lymphoma PET Imaging","year":2021,"lang":"en","type":"article","venue":"PET Clinics","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"NIH Clinical Center; National Institutes of Health","keywords":"Medicine; Lymphoma; Risk stratification; Pet imaging; Segmentation; Artificial intelligence; Positron emission tomography; Radiology; Pathology; Computer science; Internal medicine","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":[0.001838697,0.000316522,0.000416935,0.001275876,0.0003506401,0.002824693,0.0005865275,0.001246509,0.003052565],"category_scores_gemma":[0.00685618,0.0002251622,0.0003454858,0.0007666839,0.001830607,0.001403851,0.0007364741,0.001656879,0.000522967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009457474,"about_ca_system_score_gemma":0.0006504305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172668,"about_ca_topic_score_gemma":0.001685605,"domain_scores_codex":[0.9990976,0.0005730168,0.0000483214,0.00008432796,0.0001600775,0.00003665246],"domain_scores_gemma":[0.9948148,0.004399717,0.0002241125,0.0001526549,0.0002537346,0.0001548348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002980245,0.0004748998,0.01991705,0.001575396,0.0003365701,0.001380971,0.0006107385,0.06125087,0.002163968,0.255947,0.02754032,0.6285042],"study_design_scores_gemma":[0.00006200442,0.0002118533,0.008414695,0.000922902,0.0001083747,0.001780716,0.000544668,0.15946,0.002082749,0.7422721,0.08406662,0.00007336249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09346902,0.3017902,0.2776616,0.1116071,0.003017318,0.0002056312,0.0005227701,0.000634865,0.2110915],"genre_scores_gemma":[0.8207896,0.06634901,0.09047399,0.00616936,0.002676669,0.0001288321,0.000241557,0.00006996495,0.01310093],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003052565,"threshold_uncertainty_score":0.01021183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816215394911705,"score_gpt":0.3492320684004292,"score_spread":0.3110699144513122,"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."}}