{"id":"W7036151156","doi":"","title":"ATTENUATION CORRECTION IN CARDIAC PET/CT USING A TIME- AVERAGED CT","year":2006,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correction for attenuation; Cardiac PET; Attenuation; Positron emission tomography; Gold standard (test); Tomography; Computed tomography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007240322,0.0002936223,0.0004261713,0.0006683873,0.0002044703,0.0001459564,0.0002915357,0.00003610276,0.0001543524],"category_scores_gemma":[0.0001295739,0.0003518524,0.0001614984,0.0005881952,0.00005294686,0.0008079354,0.0001024352,0.0004403712,0.0002999638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062586,"about_ca_system_score_gemma":0.000158112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005373749,"about_ca_topic_score_gemma":0.001226961,"domain_scores_codex":[0.9978904,0.0004954417,0.000414803,0.000432994,0.0003751485,0.0003912284],"domain_scores_gemma":[0.998607,0.0003452651,0.0003190072,0.0004780956,0.000137123,0.0001135544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004177276,0.0003266422,0.9960538,0.000167851,0.00003556091,0.0004078313,0.0004460929,0.0001538165,0.001257439,0.0009072108,0.00002674675,0.0001752223],"study_design_scores_gemma":[0.004294851,0.0001390113,0.959284,0.001135396,0.0005093947,0.001153384,0.00143021,0.0001985229,0.008342382,0.01722067,0.004311835,0.001980345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951558,0.00002038899,0.001868712,0.0000739931,0.0006351382,0.0004261323,0.00001373003,0.0001574188,0.001648749],"genre_scores_gemma":[0.9749389,0.000008032487,0.0003829334,0.00004809664,0.0001404741,0.000002076526,0.00004470073,0.00005246105,0.02438228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03676982,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453937174200535,"score_gpt":0.3661008689315408,"score_spread":0.2207071515114873,"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."}}