{"id":"W1841481425","doi":"10.1007/s12350-015-0153-0","title":"The clinical importance of accurate measurement of injected doses for radionuclide myocardial perfusion imaging","year":2015,"lang":"en","type":"letter","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Myocardial perfusion imaging; Medicine; Nuclear medicine; Positron emission tomography; Medical imaging; Population; Medical physics; Preclinical imaging; Perfusion; Radiology; In vivo","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004854802,0.0002712977,0.002183613,0.0001965819,0.00007484297,0.00001728839,0.0002985848,0.000464612,0.000005688914],"category_scores_gemma":[0.009277505,0.0001790233,0.001903322,0.0001138974,0.0004813555,0.00005171553,0.00008046134,0.00166244,0.000002788276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987036,"about_ca_system_score_gemma":0.000908178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007533565,"about_ca_topic_score_gemma":5.386472e-7,"domain_scores_codex":[0.9960142,0.0006199249,0.001869862,0.0002450219,0.0008929751,0.000358007],"domain_scores_gemma":[0.9920805,0.001688975,0.002136232,0.0005429972,0.003423435,0.0001279212],"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":[0.001107702,0.00002681407,0.02627819,0.000124733,0.001064925,0.0004108233,0.00006187789,0.00002918577,0.0005815524,0.000004641117,0.9675475,0.002762095],"study_design_scores_gemma":[0.003406278,0.00109455,0.03074842,0.0004602881,0.002380249,0.002485205,0.0001902402,0.00003858647,0.00003977587,0.0001379752,0.9588343,0.000184149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1785711,0.04604513,0.0009587232,0.7383578,0.02699373,0.002587869,0.0004163523,0.0000849815,0.005984332],"genre_scores_gemma":[0.7999145,0.007318853,0.002649261,0.1416507,0.04791797,0.00001425344,0.00009037449,0.0003418831,0.0001021672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6213435,"threshold_uncertainty_score":0.9990678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06881807762831989,"score_gpt":0.3447010453235649,"score_spread":0.2758829676952451,"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."}}