{"id":"W4402833586","doi":"10.1109/nss/mic/rtsd57108.2024.10655448","title":"Quantifying Uncertainty in SPECT Imaging Using a Gamma Statistical Model with Spatial Covariance","year":2024,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Covariance; Computer science; Statistical model; Artificial intelligence; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004712327,0.00145381,0.0008808337,0.001414449,0.0004831198,0.002117437,0.001343571,0.001135082,0.001573829],"category_scores_gemma":[0.01264076,0.0008316122,0.001665898,0.001054098,0.001508809,0.00154237,0.001589229,0.001286527,0.0003194131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072768,"about_ca_system_score_gemma":0.001930861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221637,"about_ca_topic_score_gemma":0.009884619,"domain_scores_codex":[0.9977481,0.0008708369,0.0001304629,0.0004674587,0.0006351753,0.0001479427],"domain_scores_gemma":[0.9949833,0.003296291,0.00064274,0.0004831483,0.0005245636,0.00006984549],"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":[0.0001299929,0.00004430956,0.006476691,0.0000975795,0.0001953719,0.0001721766,0.0001663907,0.9248587,0.007875254,0.01925199,0.0005719864,0.04015952],"study_design_scores_gemma":[0.000009311441,0.00005403673,0.002091313,0.00001562551,0.00003947293,0.0001233012,0.00002052856,0.9848609,0.003163949,0.008818843,0.0007646421,0.00003811557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02693439,0.0001869601,0.9713499,0.0001402542,0.00001866484,0.0000599277,0.00009676688,0.000365577,0.0008473928],"genre_scores_gemma":[0.7695001,0.0004383991,0.2260817,0.0002576936,0.00006511711,0.0003127276,0.0004855914,0.0003510265,0.002507754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01221637,"threshold_uncertainty_score":0.02492148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1994469545066967,"score_gpt":0.4333382678694561,"score_spread":0.2338913133627594,"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."}}