{"id":"W2052886349","doi":"10.1155/2013/943051","title":"Evaluation of the Feasibility and Quantitative Accuracy of a Generalized Scatter 2D PET Reconstruction Method","year":2013,"lang":"en","type":"article","venue":"ISRN Biomedical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; CancerCare Manitoba Foundation","keywords":"Coincidence; Imaging phantom; Physics; Compton scattering; Optics; Scattering; Iterative reconstruction; Photon; Noise (video); Detector; Contrast (vision); Computational physics; Algorithm; Computer science; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002081374,0.00009716617,0.0002567929,0.00008776219,0.00005316263,0.00001129765,0.000108421,0.00003613443,0.0004188754],"category_scores_gemma":[0.001985054,0.00006111593,0.00008239198,0.0003002021,0.0007682836,0.0001163258,0.00008409219,0.0001786627,0.000003707663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005986801,"about_ca_system_score_gemma":0.0001666926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004260753,"about_ca_topic_score_gemma":0.000003520856,"domain_scores_codex":[0.998183,0.00030017,0.0004401884,0.0002387972,0.0006953099,0.0001425928],"domain_scores_gemma":[0.9983951,0.0002561721,0.0002465132,0.0003620732,0.000619537,0.0001205692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002293974,0.0002652946,0.03761728,0.00018091,0.00007813409,7.143925e-7,0.0003509216,3.855461e-7,0.4942413,0.0009684223,0.006079709,0.460194],"study_design_scores_gemma":[0.006184061,0.0002105058,0.2810747,0.001357323,0.001549887,0.0007910202,0.001354131,0.5464153,0.09310702,0.06589235,0.001680907,0.0003828326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928041,0.0001949818,0.04416966,0.02597405,0.00009412529,0.001149527,0.00001392989,0.00003848888,0.0003242487],"genre_scores_gemma":[0.8219975,0.00003244545,0.1773482,0.0004713446,0.0000338151,0.00008058276,0.000009456701,0.000008216821,0.00001849171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5464149,"threshold_uncertainty_score":0.4586392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09719546930084842,"score_gpt":0.4348388243944162,"score_spread":0.3376433550935678,"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."}}