{"id":"W1987391761","doi":"10.1088/0031-9155/51/10/008","title":"Simulation of scattering and attenuation of 511 keV photons in a combined PET/field-cycled MRI system","year":2006,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Attenuation; Physics; Photon; Shim (computing); Correction for attenuation; Image quality; Monte Carlo method; Magnetic resonance imaging; Nuclear magnetic resonance; Optics; Computational physics; Materials science; Computer science; Radiology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000449008,0.000371897,0.0006739413,0.0004227754,0.0005409861,0.0008024444,0.0008888029,0.00203827,0.003098237],"category_scores_gemma":[0.001795909,0.000501559,0.0006336907,0.0005283668,0.0008060706,0.0003871386,0.0004296573,0.0004987039,0.0002615514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295491,"about_ca_system_score_gemma":0.001342268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608152,"about_ca_topic_score_gemma":0.006600097,"domain_scores_codex":[0.9998253,0.000044256,0.000006140549,0.00002073173,0.00005494066,0.00004863111],"domain_scores_gemma":[0.998857,0.0007727664,0.00008402815,0.00003249689,0.000153825,0.0000997544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000914284,0.00002519387,0.0007408399,0.00001921023,0.000009079623,0.0001224658,0.00003323507,0.9965899,0.001136099,0.0006328985,0.0001023115,0.0004973697],"study_design_scores_gemma":[0.00002724701,0.0000349507,0.000339199,0.000004691522,0.000006187732,0.000020984,0.00001806606,0.9987448,0.0005019188,0.0001591622,0.0001371567,0.000005526657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366241,0.000375207,0.04211976,0.000458918,0.00005945016,0.0001386484,0.0005522317,0.0003475841,0.01932417],"genre_scores_gemma":[0.9888227,0.0001083822,0.007094945,0.00007860143,0.000005538448,0.00008603353,0.0002104802,0.00004814395,0.003545198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608152,"threshold_uncertainty_score":0.03197581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09208125315571498,"score_gpt":0.3905931144245247,"score_spread":0.2985118612688097,"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."}}