{"id":"W3130212801","doi":"10.1148/radiol.2021210386","title":"Evolution of Lymphadenopathy at PET/MRI after COVID-19 Vaccination","year":2021,"lang":"en","type":"article","venue":"Radiology","topic":"Lymphadenopathy Diagnosis and Analysis","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Axillary Lymphadenopathy; Malignancy; Nuclear medicine; Coronavirus disease 2019 (COVID-19); Fluorodeoxyglucose; Mediastinal lymphadenopathy; Positron emission tomography; Radiology; Breast cancer; Biopsy; Internal medicine; Cancer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002072284,0.0001211157,0.0004370187,0.0001593301,0.00005731723,0.00000422809,0.0000602251,0.0001015665,0.00202153],"category_scores_gemma":[0.0004839563,0.0001086222,0.0001753357,0.0003245911,0.00005102151,0.00004746722,0.00005936604,0.00004530589,0.00007401501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009569919,"about_ca_system_score_gemma":0.0003971475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000556089,"about_ca_topic_score_gemma":0.00005338732,"domain_scores_codex":[0.9987948,0.0001690517,0.0003289303,0.000332714,0.0001615455,0.0002129406],"domain_scores_gemma":[0.9990769,0.0001336245,0.0001241777,0.0003236933,0.0001586643,0.0001829379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000368597,0.0004543168,0.9489052,0.0002859303,0.0002436162,0.002313953,0.0004895519,0.0001660744,0.03494586,0.00175149,0.008450763,0.001624699],"study_design_scores_gemma":[0.004491474,0.0004255929,0.958182,0.00004673975,0.0007585577,0.006273577,0.0004380365,0.001288645,0.0110423,0.0007683439,0.01602252,0.0002622452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844351,0.009042756,0.001617369,0.003623573,0.000183587,0.0001218583,0.00002111462,0.00003771341,0.0009169402],"genre_scores_gemma":[0.9959634,0.0006984878,0.0003594485,0.001388194,0.0002084563,0.00003825621,0.0001017224,0.00001401617,0.001228043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02390356,"threshold_uncertainty_score":0.9988908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032100793741601,"score_gpt":0.2756868489256764,"score_spread":0.2653658409882604,"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."}}