{"id":"W1975719001","doi":"10.1007/s11307-010-0362-5","title":"On the Significance of Defective Block Detectors in Clinical 18F-FDG PET/CT Imaging","year":2010,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Manitoba","funders":"","keywords":"Imaging phantom; Nuclear medicine; Detector; Block (permutation group theory); Scanner; Image quality; Positron emission tomography; Standardized uptake value; Clinical imaging; PET-CT; Medicine; Physics; Materials science; Radiology; Computer science; Mathematics; Optics; Artificial intelligence; Geometry","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":[0.0006090448,0.000111024,0.0002337166,0.00007385188,0.00004367408,0.000007370139,0.0001149419,0.00001238012,0.0000197175],"category_scores_gemma":[0.0006590828,0.00007146486,0.00007965838,0.0001390136,0.0006012946,0.00001047594,0.00005686067,0.0005824725,0.000003449712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008714977,"about_ca_system_score_gemma":0.00004333261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540733,"about_ca_topic_score_gemma":0.000008404335,"domain_scores_codex":[0.9990448,0.0001131954,0.0002877462,0.0002970668,0.00006324699,0.0001938812],"domain_scores_gemma":[0.9991037,0.0003621772,0.00008554128,0.0003212908,0.00004843104,0.00007883372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004460977,0.0002224539,0.3141604,0.00002498668,0.00002694124,0.0002684356,0.00002692758,4.878845e-7,0.6562017,0.01080375,0.001098006,0.01712128],"study_design_scores_gemma":[0.005805479,0.0009755415,0.285181,0.0006853155,0.0004196397,0.005809357,0.0004545357,0.03170143,0.5560027,0.06311545,0.04856191,0.001287637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863471,0.0001047715,0.001130798,0.01118118,0.00007410238,0.0003189891,0.000003822405,0.00004614933,0.0007930994],"genre_scores_gemma":[0.9952883,0.00002522465,0.002163842,0.002415674,0.00003313914,0.0000473217,0.000004544851,0.00001185592,0.00001014837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001989,"threshold_uncertainty_score":0.2914253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868643139438803,"score_gpt":0.3495248843001293,"score_spread":0.3308384529057413,"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."}}