{"id":"W4238261189","doi":"10.1145/827052.827053","title":"Rapid emission tomography reconstruction","year":2003,"lang":"en","type":"article","venue":"Volume graphics ...","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Software implementation; Graphics; Rendering (computer graphics); Implementation; Graphics hardware; Software; Attenuation; Volume (thermodynamics); Speedup; Iterative reconstruction; Algorithm; Computer graphics; Expectation–maximization algorithm; Maximization; Volume rendering; Maximum likelihood; Computer hardware; Computer graphics (images); Parallel computing; Computer vision; Mathematical optimization; Mathematics","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":[0.0002888988,0.0001031684,0.0001544495,0.0002067824,0.0001175352,0.00001467828,0.00005955403,0.0001123487,0.0005593314],"category_scores_gemma":[0.000132052,0.00008991022,0.0001350792,0.0006593791,0.0001584682,0.00004795318,0.00001054437,0.000264393,0.00002564071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317707,"about_ca_system_score_gemma":0.00004566184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001349357,"about_ca_topic_score_gemma":4.832005e-7,"domain_scores_codex":[0.9991368,0.00003529274,0.0002114542,0.0002337144,0.00019622,0.0001865317],"domain_scores_gemma":[0.9992442,0.00002042096,0.0000580936,0.0003600284,0.00009383522,0.0002233931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005104449,0.0006619922,0.3077045,0.000205773,0.0001342167,0.00003085089,0.0001204291,2.231e-7,0.04604288,0.09975566,0.3686271,0.1766654],"study_design_scores_gemma":[0.0006300142,0.0001586062,0.008204724,0.0001586813,0.00009497972,0.000333064,0.00004315566,0.001037645,0.01208266,0.01319683,0.9638377,0.0002218691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611061,0.001563442,0.0309581,0.01589716,0.0007190122,0.00140267,0.00001596865,0.001632579,0.08670497],"genre_scores_gemma":[0.9527385,0.0005928031,0.04355238,0.001251611,0.00009847122,0.00007263489,0.00002508959,0.00002705582,0.001641508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5952107,"threshold_uncertainty_score":0.6124287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063113353654494,"score_gpt":0.2728241341394327,"score_spread":0.2521930006028878,"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."}}