{"id":"W3038256643","doi":"10.1016/j.mric.2020.03.010","title":"PET/Magnetic Resonance Imaging Applications in Abdomen and Pelvis","year":2020,"lang":"en","type":"review","venue":"Magnetic Resonance Imaging Clinics of North America","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"GE Healthcare; Bayer HealthCare; Advanced Accelerator Applications","keywords":"Medicine; Magnetic resonance imaging; Radiology; Pelvis; Prostate cancer; Abdomen; Medical physics; Cancer; Nuclear 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":[0.0006635623,0.001133703,0.001296466,0.003909034,0.0002308868,0.001138074,0.0006583623,0.001139367,0.006949394],"category_scores_gemma":[0.001228379,0.000373496,0.0006557354,0.003039862,0.0005276047,0.001391595,0.0006467674,0.001580245,0.002727293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989969,"about_ca_system_score_gemma":0.001356033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819516,"about_ca_topic_score_gemma":0.004411663,"domain_scores_codex":[0.9998048,0.0000391813,0.0000347811,0.00004048937,0.00005673813,0.000023963],"domain_scores_gemma":[0.9994618,0.0002654399,0.00009263735,0.00001705767,0.0001312833,0.00003168258],"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":[0.0000669555,0.0000561717,0.0002812211,0.01299607,0.00007113584,0.0003057433,0.00003524651,0.0002506866,0.001905755,0.001664959,0.02428447,0.9580815],"study_design_scores_gemma":[0.00002726775,0.0001571834,0.00146598,0.005787143,0.0002751044,0.003987775,0.00007423885,0.0001401238,0.001144023,0.00128247,0.985631,0.00002768907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001367741,0.9970583,0.0001298964,0.0001868992,0.0001810541,0.000007324444,0.00002543879,0.00000813213,0.00226622],"genre_scores_gemma":[0.001079944,0.996551,0.0003298359,0.000411921,0.0003123423,0.000008430547,0.00004657458,0.000002821825,0.001257063],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006949394,"threshold_uncertainty_score":0.02324802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387271376697838,"score_gpt":0.352097965715341,"score_spread":0.3282252519483626,"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."}}