{"id":"W1989441086","doi":"10.1088/0031-9155/55/23/006","title":"Task-oriented quantitative image reconstruction in emission tomography for single- and multi-subject studies","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Mean squared error; Estimator; Computer science; Region of interest; Resampling; Imaging phantom; Iterative reconstruction; Monte Carlo method; Selection (genetic algorithm); Statistics; Algorithm; Artificial intelligence; Mathematics; Nuclear 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030248,0.00009319655,0.000297388,0.0001144856,0.00003766389,0.000001758142,0.00002564774,0.00007036288,0.000002607486],"category_scores_gemma":[0.0005581042,0.0000627949,0.00001872365,0.0002046729,0.0006810651,0.00003220312,0.00002551767,0.0002412691,1.403189e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008676203,"about_ca_system_score_gemma":0.00001218345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004871148,"about_ca_topic_score_gemma":0.0000313232,"domain_scores_codex":[0.9993752,0.00002600288,0.0002072617,0.0002286745,0.0000330908,0.0001297646],"domain_scores_gemma":[0.9994208,0.0002838794,0.00006113295,0.0000949219,0.0000827707,0.0000565496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006010256,0.0001231393,0.03080557,0.00009991297,0.00001732168,0.000001773965,0.0006292805,1.379516e-8,0.9231958,0.005245783,0.0003695136,0.03945182],"study_design_scores_gemma":[0.05581372,0.01581821,0.09836169,0.00827324,0.0009729908,0.0008991296,0.03185526,0.04497805,0.2380653,0.4629953,0.03971795,0.002249203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839509,0.0005538688,0.009328299,0.005338476,0.0001381093,0.0004925398,0.000006908466,0.00003363974,0.0001572839],"genre_scores_gemma":[0.8980078,0.0008531419,0.1003944,0.0004162898,0.0001628338,0.000107003,0.000040259,0.000007946796,0.00001039416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851305,"threshold_uncertainty_score":0.2560702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2525136640857976,"score_gpt":0.4764795622541713,"score_spread":0.2239658981683737,"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."}}