{"id":"W2088601150","doi":"10.1118/1.2965989","title":"Sci‐Sat AM(1): Imaging‐05: Analytical scatter estimation for cone‐beam computed tomography","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba","funders":"","keywords":"Monte Carlo method; Cone beam computed tomography; Estimator; Voxel; Computer science; Iterative reconstruction; Algorithm; Contrast (vision); Optics; Physics; Artificial intelligence; Mathematics; Computed tomography; 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":[0.0008975321,0.0007046342,0.0003695592,0.00151716,0.0005310152,0.001811836,0.0006294295,0.0008217569,0.03549842],"category_scores_gemma":[0.005280309,0.000453587,0.0003790046,0.001894965,0.0006834753,0.0009291848,0.000910809,0.0007861576,0.01646819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007729579,"about_ca_system_score_gemma":0.001078156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773001,"about_ca_topic_score_gemma":0.002278534,"domain_scores_codex":[0.9995657,0.0001278566,0.00001993313,0.00004376759,0.0002237005,0.00001920271],"domain_scores_gemma":[0.999019,0.0004272467,0.00006997887,0.0001629023,0.000277999,0.00004278857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003380342,0.0001569584,0.002654683,0.0007154866,0.00006481682,0.0005554839,0.0001987664,0.09191374,0.0361322,0.1556923,0.09717914,0.6143984],"study_design_scores_gemma":[0.00004617096,0.0000783773,0.002860179,0.0002233797,0.00003227602,0.00131944,0.00005180443,0.7679835,0.0196131,0.07689253,0.1308531,0.00004604629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006172235,0.002153565,0.9430143,0.001296354,0.0004441471,0.00009963244,0.0004960413,0.002324179,0.04399949],"genre_scores_gemma":[0.2215381,0.008441294,0.6889433,0.0008077812,0.001339455,0.0004873054,0.002540676,0.002142421,0.07375963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03549842,"threshold_uncertainty_score":0.118754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643845969773422,"score_gpt":0.2743304177505766,"score_spread":0.2578919580528424,"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."}}