{"id":"W2058902606","doi":"10.1007/bf02347539","title":"Experimental evaluation of computerised tomography point spread function variability within the field of view: Parametric models","year":2004,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Human physiology; Parametric statistics; Field (mathematics); Tomography; Point (geometry); Computer science; Function (biology); Parametric model; Computer Applications; Statistical physics; Physics; Mathematics; Statistics; Optics; Medicine; Biology; Internal 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":[0.002662324,0.0001471661,0.0003726577,0.00009020929,0.00004602929,0.000006095333,0.0002039956,0.0001793038,0.0001048462],"category_scores_gemma":[0.001764272,0.00009004302,0.0001531496,0.0005560447,0.0001679921,0.00002740512,0.0001281746,0.000385376,0.000001356259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005521724,"about_ca_system_score_gemma":0.00008240105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005280892,"about_ca_topic_score_gemma":1.214973e-7,"domain_scores_codex":[0.9980902,0.0001046724,0.0006314951,0.0002745028,0.0007145904,0.0001845337],"domain_scores_gemma":[0.9985599,0.0006451706,0.0001592827,0.0003144956,0.0001597713,0.0001613861],"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":[0.0007460701,0.009402057,0.01831439,0.001425966,0.0009227461,0.00002918081,0.00195164,0.4576649,0.1796713,0.1372065,0.001776738,0.1908885],"study_design_scores_gemma":[0.00101902,0.0006157284,0.009903932,0.0004019117,0.00008073317,0.00002162846,0.0000339108,0.9681271,0.0169,0.002713085,0.00005963871,0.0001232539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.509662,0.0001901444,0.4885153,0.0009737072,0.00009669521,0.0003677958,9.549799e-7,0.00008550016,0.0001079539],"genre_scores_gemma":[0.9719501,0.000007321852,0.02742199,0.0004742566,0.00009391471,0.00003045843,0.00001380779,0.000007808161,3.569728e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5104622,"threshold_uncertainty_score":0.3671848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602160325541918,"score_gpt":0.3273274313363904,"score_spread":0.2913058280809712,"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."}}