{"id":"W3181187822","doi":"10.1002/mp.15088","title":"Technical Note: Performance evaluation of a small‐animal PET/CT system based on NEMA NU 4–2008 standards","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imaging phantom; Silicon photomultiplier; Image resolution; Full width at half maximum; Physics; Nuclear medicine; Image quality; Iterative reconstruction; Optics; Detector; Medicine; Computer science; Radiology; Scintillator; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00665506,0.0004152467,0.000388164,0.0006626495,0.000484133,0.0007769553,0.001166958,0.0006730491,0.003166482],"category_scores_gemma":[0.005482776,0.0003115955,0.000295299,0.0004106299,0.0004501551,0.0008394124,0.0005715532,0.0004555879,0.001674828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006625168,"about_ca_system_score_gemma":0.001242549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040924,"about_ca_topic_score_gemma":0.0007939992,"domain_scores_codex":[0.9976195,0.0005763625,0.0002241646,0.0002652674,0.001210602,0.0001040699],"domain_scores_gemma":[0.9950449,0.0007674001,0.0003484697,0.0009866222,0.002676812,0.000175644],"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":[0.001371865,0.0002005779,0.008248464,0.00033023,0.00005807057,0.0002735999,0.000200519,0.004705547,0.9223626,0.00166702,0.003270162,0.05731134],"study_design_scores_gemma":[0.0001285654,0.002746891,0.01434164,0.00006052875,0.0001230103,0.001791996,0.0001057251,0.0290499,0.9251037,0.0002503987,0.02620602,0.0000916523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3365254,0.0007609263,0.6455525,0.0007288536,0.0002360045,0.002203546,0.0007828419,0.004243722,0.008966203],"genre_scores_gemma":[0.5578536,0.0005309146,0.4269024,0.0003427528,0.0000690778,0.001669725,0.002462108,0.0007261294,0.00944342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00665506,"threshold_uncertainty_score":0.03519571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646357746109671,"score_gpt":0.355238813475579,"score_spread":0.3187752360144823,"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."}}