{"id":"W1997404059","doi":"10.1118/1.3476139","title":"Poster — Thur Eve — 34: Accelerated Analytical Scatter Estimation with Graphics Processing Units","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba","funders":"","keywords":"Monte Carlo method; Imaging phantom; Computer science; Estimator; Computational science; CUDA; Algorithm; Voxel; MATLAB; Graphics; Optics; Physics; Computer graphics (images); Artificial intelligence; Parallel computing; Mathematics; Statistics","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":[0.0007635982,0.0007954009,0.0004014673,0.0008171304,0.0004012337,0.001492521,0.0009570275,0.0005876653,0.02613557],"category_scores_gemma":[0.002387059,0.0003414257,0.0004861787,0.0006566851,0.0002835542,0.0008332554,0.00102764,0.0009426298,0.009270877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000680593,"about_ca_system_score_gemma":0.0009792307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173894,"about_ca_topic_score_gemma":0.002198597,"domain_scores_codex":[0.9995025,0.00009888852,0.00002595627,0.00006995681,0.0002537623,0.00004881816],"domain_scores_gemma":[0.9988202,0.0001624092,0.00004505815,0.0002051205,0.0006789386,0.00008829516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001231343,0.000242106,0.003120288,0.0002467194,0.0001152318,0.0005309943,0.0002823863,0.0553384,0.09626618,0.02079236,0.2131565,0.6086775],"study_design_scores_gemma":[0.0001918242,0.0003490204,0.003400698,0.00008037496,0.00005163032,0.0006051168,0.00005645208,0.622634,0.1005487,0.009891164,0.2620869,0.0001041638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02835174,0.0006786769,0.9106181,0.001452785,0.002189699,0.0003049264,0.0008402918,0.02276787,0.03279592],"genre_scores_gemma":[0.2242316,0.0007129005,0.710785,0.0004774601,0.0005242121,0.0003328504,0.002755824,0.003468799,0.05671152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02613557,"threshold_uncertainty_score":0.08743215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04048090452987952,"score_gpt":0.3411653400139321,"score_spread":0.3006844354840525,"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."}}