{"id":"W3199368218","doi":"10.1016/j.cpet.2021.06.007","title":"Radiomics in PET Imaging","year":2021,"lang":"en","type":"review","venue":"PET Clinics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Radiomics; Medicine; Medical physics; Pipeline (software); Harmonization; Checklist; Pet imaging; Artificial intelligence; Nuclear medicine; Positron emission tomography; Computer science; Radiology; Psychology","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":[0.001480981,0.001080794,0.002232432,0.003748863,0.0003008116,0.00194587,0.001153562,0.002131553,0.008152708],"category_scores_gemma":[0.00289301,0.0004454428,0.0007030516,0.004016795,0.00129737,0.002761748,0.0009480761,0.002970072,0.003331399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139603,"about_ca_system_score_gemma":0.001774151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170777,"about_ca_topic_score_gemma":0.004572886,"domain_scores_codex":[0.9995158,0.0001589384,0.00007541775,0.0000833338,0.0001307433,0.00003587364],"domain_scores_gemma":[0.9981977,0.001251343,0.0001917588,0.00003739095,0.0002583398,0.00006348827],"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":[0.00007990407,0.00004962407,0.0002136426,0.0213127,0.00009721195,0.00015869,0.00005829055,0.0004017823,0.0004710221,0.006296488,0.04336543,0.9274952],"study_design_scores_gemma":[0.00003793304,0.00009892874,0.0007703038,0.01003483,0.0002216703,0.001435861,0.00007864925,0.0001874223,0.0002356845,0.003373421,0.983492,0.00003333501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000287216,0.9988656,0.00007968397,0.0002393869,0.0001543642,0.000002195801,0.000009302484,0.000003766972,0.0006170176],"genre_scores_gemma":[0.0004261593,0.9981659,0.0001479454,0.0004097638,0.0004072522,0.000004615903,0.00001746268,0.000002002957,0.0004188994],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008152708,"threshold_uncertainty_score":0.02727348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016412162525951,"score_gpt":0.4178017834804213,"score_spread":0.3776376618551618,"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."}}