{"id":"W2332081396","doi":"10.1016/s0735-1097(13)61051-7","title":"INCREMENTAL DIAGNOSTIC BENEFIT OF RESOLUTION RECOVERY SOFTWARE IN PATIENTS WITH EQUIVOCAL MYOCARDIAL PERFUSION SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY","year":2013,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Perfusion; Single-photon emission computed tomography; Radiology; Resolution (logic); Myocardial perfusion imaging; Nuclear medicine; Computed tomography; Medical physics; Artificial intelligence","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":[0.0001539472,0.0001402841,0.0006042677,0.0002243326,0.00003763206,0.000003292779,0.0002033293,0.00004630195,0.000003952632],"category_scores_gemma":[0.0001389626,0.00009980985,0.0002038537,0.0004439922,0.0002053043,0.0001606211,0.00007486678,0.0002346428,3.290471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312389,"about_ca_system_score_gemma":0.00002919975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002034458,"about_ca_topic_score_gemma":0.000002402262,"domain_scores_codex":[0.9988319,0.000118066,0.0004889001,0.00009676303,0.0002615611,0.0002028515],"domain_scores_gemma":[0.9988627,0.000286131,0.0004314236,0.0001674254,0.0001969932,0.00005537234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008695715,0.00009552785,0.7088317,0.00004748353,0.0002240517,0.00001731681,0.00006280656,0.2570523,0.01898649,0.000005824243,0.0008498216,0.01295705],"study_design_scores_gemma":[0.00197536,0.002015733,0.9879597,0.0004591462,0.00009185561,0.00007793024,0.0002723938,0.00132083,0.005172026,0.0002636327,0.0001860436,0.0002053383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944598,0.000213825,0.004615207,0.00003388686,0.0003383944,0.0002120296,0.00003547494,0.00001101493,0.00008033572],"genre_scores_gemma":[0.9972481,0.00005076935,0.002568514,0.00002644338,0.00008003052,0.00000350676,0.000002869769,0.00001812163,0.000001705691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.279128,"threshold_uncertainty_score":0.4070128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004368009167463578,"score_gpt":0.1866679260794414,"score_spread":0.1822999169119778,"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."}}