{"id":"W2902809607","doi":"10.22215/etd/2014-10460","title":"Sensitivity and Distortion Studies of Positron Emission Trancking System (PeTrack)","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Distortion (music); Tracking (education); Sensitivity (control systems); Detector; Scaling; Monte Carlo method; Physics; Field of view; Optics; Computer science; Electronic engineering; Engineering; Mathematics; Geometry; Statistics; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719528,0.0004495273,0.0004427567,0.0007698129,0.0002850371,0.0008092155,0.0005667782,0.000480597,0.001256751],"category_scores_gemma":[0.007023811,0.0005321796,0.0004880492,0.0007575636,0.0004853832,0.0006551688,0.0006692455,0.0004588309,0.0002458078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083757,"about_ca_system_score_gemma":0.0004059763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886114,"about_ca_topic_score_gemma":0.001058003,"domain_scores_codex":[0.9982314,0.0004107152,0.00009603787,0.0002797607,0.0008846212,0.00009748412],"domain_scores_gemma":[0.9966547,0.001918144,0.0004016936,0.0003109434,0.0006614828,0.00005286372],"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":[0.00201023,0.0001609024,0.02958947,0.0008480232,0.0003232019,0.001105462,0.0008025871,0.1106863,0.7232156,0.006826174,0.001044878,0.1233872],"study_design_scores_gemma":[0.000037609,0.001258889,0.02877813,0.00005069394,0.0002071059,0.003602976,0.0001072341,0.1069781,0.853834,0.000767912,0.004251033,0.0001264091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8228382,0.00475196,0.1581977,0.0002357469,0.00008950428,0.0002850202,0.0004021884,0.000574875,0.0126248],"genre_scores_gemma":[0.9674737,0.00110076,0.02915159,0.00005703681,0.000008817347,0.00004712312,0.0002001458,0.0000914513,0.001869446],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001886114,"threshold_uncertainty_score":0.009093881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306177844200433,"score_gpt":0.3531674692388959,"score_spread":0.3301056907968916,"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."}}