{"id":"W2888383392","doi":"10.1007/s12350-018-1348-y","title":"Contemporary Cardiac SPECT Imaging—Innovations and Best Practices: An Information Statement from the American Society of Nuclear Cardiology","year":2018,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Berlin-Brandenburg School for Regenerative Therapies; Bracco Diagnostics; Astellas Pharma US; Astellas Pharma; Alnylam Pharmaceuticals; Advanced Accelerator Applications; Emory University","keywords":"Medicine; Nuclear medicine; Spect imaging; Guideline; Medical physics; Nuclear imaging; Cardiac imaging; Statement (logic); Internal medicine; Cardiology; Radiology; Pathology","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":[0.0009721732,0.0001125611,0.0006059883,0.00006676326,0.0001248532,0.00002354966,0.0001697984,0.00005022944,0.00002326356],"category_scores_gemma":[0.0002660509,0.00007660548,0.0001964281,0.0001823296,0.0009937959,0.0003098725,0.00008500151,0.0003837089,0.00001090782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005767413,"about_ca_system_score_gemma":0.0001460947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003539227,"about_ca_topic_score_gemma":6.301636e-7,"domain_scores_codex":[0.9986819,0.000198974,0.0006220438,0.0001257296,0.0002095173,0.0001618157],"domain_scores_gemma":[0.9974697,0.0001771365,0.001353903,0.0003380214,0.0005403322,0.0001208637],"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":[0.000435231,0.0001000877,0.05165055,0.00003583952,0.001232347,0.0000271287,0.00213831,0.000003468355,0.0246309,0.001292406,0.9032379,0.01521581],"study_design_scores_gemma":[0.0005838142,0.001279946,0.05191096,0.0000473927,0.0002824164,0.000412104,0.005983222,0.0005131191,0.00004832617,0.0002335775,0.9386117,0.00009340105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528232,0.000205827,0.001894115,0.04087219,0.0002105424,0.0003288624,0.00007146607,0.00003978073,0.003554034],"genre_scores_gemma":[0.9775793,0.0008313415,0.0160722,0.004500816,0.0009634835,0.000003146586,0.00002647664,0.00001768769,0.00000555224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03637138,"threshold_uncertainty_score":0.3661682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06489914308371307,"score_gpt":0.3629752962956921,"score_spread":0.298076153211979,"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."}}