{"id":"W2129495845","doi":"10.1007/s11307-012-0546-2","title":"A Cone-Shaped Phantom for Assessment of Small Animal PET Scatter Fraction and Count Rate Performance","year":2012,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Université de Sherbrooke; National Science Foundation","keywords":"Imaging phantom; Materials science; Physics; Monte Carlo method; Positron emission tomography; Scanner; Nuclear medicine; Image quality; Field of view; Optics; Biomedical engineering; Mathematics; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001347487,0.0008937691,0.0003864996,0.0005152922,0.000219985,0.0005658438,0.0006422012,0.0007103376,0.001155558],"category_scores_gemma":[0.001814581,0.0003523266,0.0003487124,0.0004246566,0.0003714274,0.0004023755,0.0002988982,0.0003227588,0.0005021352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004656192,"about_ca_system_score_gemma":0.0009813126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006631918,"about_ca_topic_score_gemma":0.0007491226,"domain_scores_codex":[0.9994959,0.0001191817,0.00003180894,0.0001056334,0.000222058,0.00002543228],"domain_scores_gemma":[0.9991534,0.0003199932,0.0001501326,0.0001176951,0.0002192429,0.00003952283],"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":[0.0006208307,0.0002334872,0.00281953,0.0004166053,0.00002788357,0.0003705084,0.0001439814,0.02976555,0.9318748,0.00210285,0.0006856134,0.03093834],"study_design_scores_gemma":[0.00007552206,0.001838281,0.00713875,0.00009707346,0.0001075631,0.002269386,0.00004631392,0.1780047,0.794294,0.0009425288,0.01504434,0.0001415197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1933728,0.003576057,0.7941201,0.0001676603,0.0001300507,0.001009675,0.0007740851,0.002481685,0.004367783],"genre_scores_gemma":[0.5813311,0.001481907,0.4128563,0.0001811108,0.00001352029,0.0009000624,0.0009441308,0.0002614165,0.002030575],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001347487,"threshold_uncertainty_score":0.007126272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598489505735356,"score_gpt":0.3607554613809501,"score_spread":0.3247705663235966,"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."}}