{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218168,0.0001760516,0.0002806923,0.00009399055,0.00004921498,0.0001464483,0.00009794028,0.00003068128,0.000370393],"category_scores_gemma":[0.0008015115,0.0001275384,0.00002608285,0.0002361292,0.0001015197,0.00009788456,0.00004591483,0.000263041,0.00001228195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132032,"about_ca_system_score_gemma":0.0001917402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009464092,"about_ca_topic_score_gemma":0.0004686416,"domain_scores_codex":[0.9985982,0.00009598355,0.0003329943,0.0003741057,0.000253034,0.0003457071],"domain_scores_gemma":[0.997946,0.001709574,0.00003297177,0.0001861123,0.00004409877,0.00008128276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000046582,0.00003715733,0.0004994759,0.0002046135,0.00001295662,0.0002799287,0.0001944402,0.004596123,0.0005438107,0.9779391,0.0001207673,0.01552499],"study_design_scores_gemma":[0.0001531055,0.00001953473,0.0001239842,0.0002521363,0.00002129802,0.00003717593,0.00005989283,0.6885359,0.00006529711,0.3105722,0.00001422754,0.0001452588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01232565,0.00003654356,0.9840048,0.0001551039,0.00009163524,0.0001662653,0.00004756823,0.0001138422,0.003058606],"genre_scores_gemma":[0.4489396,0.000001824194,0.5509172,0.00004543979,0.00002966554,0.000005480423,0.000001390722,0.00001884905,0.00004059986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6839397,"threshold_uncertainty_score":0.5200864,"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."}}