{"id":"W2129827673","doi":"10.1109/nssmic.2005.1596662","title":"Influence of Depth of Interaction on Spatial Resolution and Image Quality for the HRRT","year":2006,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC; TRIUMF","keywords":"Normalization (sociology); Image resolution; Imaging phantom; Optics; Image quality; Resolution (logic); Parallax; Materials science; Physics; Mathematics; Artificial intelligence; Computer science; 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":[0.0001900146,0.0000290334,0.00007470606,0.0000170755,0.00002002581,0.000001790738,0.0000247423,0.00001903561,0.000009230898],"category_scores_gemma":[0.0001322515,0.00001732128,0.00002169766,0.00003510757,0.00009084166,0.00002101171,0.000009787819,0.00004471727,3.816063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008620717,"about_ca_system_score_gemma":0.00001023906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769429,"about_ca_topic_score_gemma":0.00007167049,"domain_scores_codex":[0.9996421,0.000009514749,0.0001652644,0.0000629697,0.00008032245,0.00003983148],"domain_scores_gemma":[0.9995517,0.0001639437,0.00007042454,0.0001253115,0.00007453744,0.0000141507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005707955,0.0005373602,0.01423657,0.0003692952,0.00002594378,3.048335e-7,0.00009161788,0.00008091575,0.8556458,0.07691107,0.02200769,0.02952264],"study_design_scores_gemma":[0.0007988267,0.0003294325,0.6065276,0.0001473745,0.00006633275,0.000005469993,0.0000652737,0.01380209,0.368109,0.002945957,0.007141105,0.00006146344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8357737,0.000007907385,0.1578589,0.004017373,0.00000681086,0.000335927,0.000004986788,0.0000222049,0.00197222],"genre_scores_gemma":[0.9875663,0.00001089702,0.01210304,0.0001480192,0.00003039984,0.00002760695,0.000006881382,0.000002371742,0.0001044724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5922911,"threshold_uncertainty_score":0.4186566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529508654596589,"score_gpt":0.3936532196409655,"score_spread":0.3583581330949996,"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."}}