{"id":"W2939300704","doi":"10.1007/s12350-019-01718-8","title":"Straightening out the wrinkles in technetium-99m-labeled bone scintigraphy tracer assessment of cardiac amyloidosis","year":2019,"lang":"en","type":"letter","venue":"Journal of Nuclear Cardiology","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Accelerator Centre","keywords":"Medicine; Cardiac amyloidosis; Scintigraphy; Single-photon emission computed tomography; Nuclear medicine; Cardiac imaging; Radiology; Bone scintigraphy; Technetium; Technetium-99m; Emission computed tomography; Amyloidosis; Nuclear imaging; Positron emission tomography; Internal medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009494602,0.0005697198,0.001954661,0.0005034691,0.00007779032,0.00003997656,0.0008364837,0.001431086,0.00004407928],"category_scores_gemma":[0.00013134,0.0004061518,0.001687096,0.000200928,0.0003882379,0.00001353017,0.0002689952,0.001882213,0.00001188558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332274,"about_ca_system_score_gemma":0.0002554843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002167524,"about_ca_topic_score_gemma":0.000007836763,"domain_scores_codex":[0.9962712,0.0007888181,0.00124051,0.0005582557,0.0005360293,0.0006051843],"domain_scores_gemma":[0.9969992,0.0002442841,0.001480353,0.0008956229,0.0003137356,0.00006677216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001368631,0.0001149521,0.08224551,0.0001586659,0.004349661,0.0003143381,0.0001267417,0.000369525,0.07562756,0.00002351001,0.8353088,0.001223865],"study_design_scores_gemma":[0.001541387,0.001473022,0.0866372,0.0002200517,0.001024828,0.0003246724,0.0002990553,0.000009349938,0.002206369,0.00003472342,0.9056352,0.000594166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7979583,0.0166637,0.00008883135,0.1757113,0.003979923,0.00151655,0.0003573245,0.00003160302,0.003692518],"genre_scores_gemma":[0.9433252,0.009632571,0.001641874,0.04082608,0.003863605,0.00004056082,0.0001075265,0.0002136548,0.000348881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.145367,"threshold_uncertainty_score":0.9998653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288364210225416,"score_gpt":0.2703126100044221,"score_spread":0.2574289679021679,"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."}}