{"id":"W2008877328","doi":"10.1088/1742-6596/124/1/012044","title":"An investigation of accuracy of iterative reconstructions in quantitative SPECT","year":2008,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Iterative method; Computer science; Nuclear medicine; Algorithm; Medicine","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":[0.01059906,0.000690104,0.0005480917,0.001025263,0.0003505151,0.001238835,0.0009743348,0.001371913,0.0009698024],"category_scores_gemma":[0.07628807,0.0004794713,0.0003743014,0.0008611505,0.0008896209,0.0009249555,0.0009696619,0.0005954626,0.000228851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148979,"about_ca_system_score_gemma":0.000536004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598761,"about_ca_topic_score_gemma":0.001033554,"domain_scores_codex":[0.9943832,0.002950995,0.00038473,0.0004710332,0.001636226,0.0001737257],"domain_scores_gemma":[0.9477681,0.04118546,0.00242628,0.003727347,0.004703733,0.0001891717],"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":[0.002942846,0.0001872313,0.02272756,0.0008090342,0.0002920751,0.0004120903,0.001627694,0.58768,0.1487148,0.007332057,0.0004970556,0.2267776],"study_design_scores_gemma":[0.00002884158,0.0004393587,0.008006061,0.0000678694,0.00006552056,0.0006139555,0.00009300244,0.9003334,0.08829602,0.001282843,0.0007087155,0.00006446442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4332938,0.001273689,0.5620276,0.00021389,0.0000394218,0.00009454969,0.0001603769,0.0008400197,0.002056596],"genre_scores_gemma":[0.8280929,0.0003083715,0.1706234,0.00003081705,0.00001196579,0.0000375113,0.0001744743,0.0002583461,0.0004622229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01059906,"threshold_uncertainty_score":0.05605388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08355906519483168,"score_gpt":0.359078210056774,"score_spread":0.2755191448619423,"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."}}