{"id":"W2813032510","doi":"10.1007/s00261-018-1687-9","title":"Comparison of image noise and image quality between full-dose abdominal computed tomography scans reconstructed with weighted filtered back projection and half-dose scans reconstructed with improved sinogram-affirmed iterative reconstruction (SAFIRE*)","year":2018,"lang":"en","type":"article","venue":"Abdominal Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Iterative reconstruction; Image quality; Medicine; Computed tomography; Radon transform; Abdominal computed tomography; Nuclear medicine; Tomography; Projection (relational algebra); Radiology; Noise (video); Image noise; Image (mathematics); Artificial intelligence; Computer science; Algorithm","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":[0.003451507,0.0004285557,0.0004447931,0.001907382,0.0002592138,0.001181639,0.0004900715,0.001352954,0.002639842],"category_scores_gemma":[0.01314012,0.0004856157,0.0004655822,0.000692377,0.0006516436,0.0009979188,0.0006479967,0.0005083869,0.0003126677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004504796,"about_ca_system_score_gemma":0.0003787327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163703,"about_ca_topic_score_gemma":0.001185848,"domain_scores_codex":[0.9992825,0.000229263,0.0001331225,0.00009517584,0.0001958738,0.0000640546],"domain_scores_gemma":[0.9913612,0.005344499,0.0007063973,0.0004940876,0.001817979,0.0002758801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05715011,0.001814003,0.08866852,0.001994504,0.002051421,0.004052015,0.002055949,0.04520172,0.6242579,0.00233388,0.001237181,0.1691828],"study_design_scores_gemma":[0.001084006,0.005564114,0.4116846,0.0002402529,0.00226222,0.01902077,0.0009873206,0.1580663,0.3961873,0.001382584,0.003149035,0.0003714034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685777,0.001565476,0.0270091,0.0002206911,0.00004276967,0.00008806341,0.0004536068,0.0004192201,0.001623446],"genre_scores_gemma":[0.9804569,0.0004189142,0.01669139,0.0001248016,0.00002643508,0.0000539958,0.0008315257,0.0003150035,0.001081038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003451507,"threshold_uncertainty_score":0.01825356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312674721501768,"score_gpt":0.2708213444422313,"score_spread":0.2576945972272136,"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."}}