{"id":"W3187745473","doi":"10.1016/j.cpet.2021.06.006","title":"Artificial Intelligence in PET","year":2021,"lang":"en","type":"review","venue":"PET Clinics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Horizon 2020; Engineering and Physical Sciences Research Council; Fundacja na rzecz Nauki Polskiej; European Commission; European Regional Development Fund; Horizon 2020 Framework Programme; FP7 Coherent Development of Research Policies","keywords":"Workflow; Standardization; Positron emission tomography; Medicine; Pet imaging; Commercialization; Artificial intelligence; Image processing; Medical imaging; Medical physics; Data science; Computer science; Nuclear medicine; Business; Marketing","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":[0.00111053,0.001091737,0.001962695,0.002893257,0.0002904351,0.001826,0.000881421,0.001932416,0.005893356],"category_scores_gemma":[0.002031085,0.000532894,0.0006732964,0.002959105,0.001131151,0.002295818,0.001046122,0.002760337,0.002709952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009585251,"about_ca_system_score_gemma":0.001560163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615923,"about_ca_topic_score_gemma":0.003039859,"domain_scores_codex":[0.9997155,0.00008690939,0.0000464722,0.0000451761,0.00007915854,0.00002678464],"domain_scores_gemma":[0.9989759,0.00071867,0.00009951579,0.00003054576,0.0001297773,0.0000455663],"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":[0.00007310575,0.00006179438,0.0001198529,0.02064748,0.0001320781,0.0001391699,0.00005132069,0.0006018904,0.0005458541,0.00658585,0.04764682,0.9233947],"study_design_scores_gemma":[0.00004343672,0.0001311353,0.0005947861,0.01029823,0.0002095454,0.001111191,0.0000421621,0.0003266664,0.0003981414,0.006462154,0.98035,0.00003267554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004898939,0.9979018,0.0002041166,0.0003466806,0.0002950184,0.000004746274,0.00001252955,0.000007300689,0.001178816],"genre_scores_gemma":[0.0006837724,0.9969784,0.000346456,0.000638087,0.0004898545,0.000009051789,0.00002773125,0.000002914905,0.0008237819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005893356,"threshold_uncertainty_score":0.01971519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2164299955903133,"score_gpt":0.5141817303195687,"score_spread":0.2977517347292554,"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."}}