{"id":"W2097957018","doi":"10.1109/nssmic.2007.4436881","title":"An evaluation of iterative reconstruction strategies on mediastinal lesion detection using hybrid Ga-67 SPECT images","year":2007,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Iterative reconstruction; Computer science; Single-photon emission computed tomography; Iterative method; Artificial intelligence; Radiology; Computer vision; Nuclear medicine; Medicine; 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":[0.004231337,0.0009394035,0.0005029349,0.0007441726,0.0002396096,0.0005448285,0.0005734018,0.0007362191,0.0006888942],"category_scores_gemma":[0.01972718,0.0003727473,0.0003329837,0.0005381412,0.000363388,0.0005476805,0.0006896838,0.0002672366,0.0001904852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981184,"about_ca_system_score_gemma":0.0003294117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965898,"about_ca_topic_score_gemma":0.002173198,"domain_scores_codex":[0.9982302,0.001034547,0.0001495694,0.0001448815,0.0003353121,0.0001054978],"domain_scores_gemma":[0.9893105,0.008115733,0.000491345,0.0006454898,0.001272399,0.000164621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01003526,0.0008253075,0.02279799,0.0006359666,0.000667548,0.0005202956,0.001028265,0.3107792,0.2366912,0.001070818,0.0005239969,0.4144242],"study_design_scores_gemma":[0.0001946471,0.004411376,0.01625315,0.00004913229,0.0003244248,0.0009949573,0.0001874321,0.8127421,0.163773,0.000313365,0.0006451334,0.0001113617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904642,0.0005214338,0.09286524,0.0000494998,0.0000114888,0.000122267,0.00008072521,0.0004775894,0.001229595],"genre_scores_gemma":[0.8756121,0.0002286752,0.1232846,0.00003184694,0.000008192274,0.0000548823,0.0001232994,0.0001579506,0.0004985731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004231337,"threshold_uncertainty_score":0.02237767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09527826374890394,"score_gpt":0.4210282208201814,"score_spread":0.3257499570712774,"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."}}