{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006205983,0.0002068892,0.001406759,0.0001176083,0.00002281105,0.00001972872,0.000209516,0.0001251469,0.0004802535],"category_scores_gemma":[0.001047704,0.0001699506,0.0003834395,0.0004860665,0.00009054643,0.00001354362,0.000117538,0.001017699,0.0002473771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006607801,"about_ca_system_score_gemma":0.0005684778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008756879,"about_ca_topic_score_gemma":0.000006326917,"domain_scores_codex":[0.9980058,0.00007682203,0.001085574,0.0004100151,0.0002081862,0.0002135883],"domain_scores_gemma":[0.9984983,0.000444339,0.000203507,0.000641729,0.00006313375,0.0001489726],"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":[8.655842e-7,0.0001699493,0.000003071741,0.002763543,0.00001583435,0.0003823616,0.000005861517,2.588606e-8,4.490276e-8,0.003881333,0.002998505,0.9897786],"study_design_scores_gemma":[0.00001532271,0.00002658205,4.40277e-7,0.01247048,0.0003090613,0.0003450279,0.000009637726,0.0002873467,6.297621e-7,0.001265407,0.9851269,0.0001431966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002850373,0.9941491,0.002689288,0.001101912,0.0001683896,0.0006067422,0.00002388872,0.0001014987,0.001156327],"genre_scores_gemma":[0.000004025617,0.9731586,0.02504865,0.0003631388,0.0003425528,0.0001787981,0.0003237154,0.00003649432,0.0005440463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9896354,"threshold_uncertainty_score":0.6930384,"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."}}