{"id":"W4285796219","doi":"10.1186/s12968-022-00867-z","title":"SNMMI/ACR/ASNC/SCMR joint credentialing statement for cardiac PET/MRI","year":2022,"lang":"en","type":"review","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; University of Ottawa","funders":"Society for Cardiovascular Magnetic Resonance; Society of Nuclear Medicine and Molecular Imaging; American Heart Association","keywords":"Medicine; Credentialing; Angiology; Medical physics; Statement (logic); Cardiac imaging; Radiology; Nuclear medicine; Internal medicine; Medical education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005007216,0.0007319779,0.00132263,0.002227561,0.0008448827,0.002005649,0.001696622,0.004803448,0.02940271],"category_scores_gemma":[0.008691567,0.0003164475,0.001080307,0.001394388,0.0008674304,0.001091227,0.00173791,0.004068667,0.02112865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106965,"about_ca_system_score_gemma":0.01338542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003809883,"about_ca_topic_score_gemma":0.007653399,"domain_scores_codex":[0.9980372,0.0003426492,0.0002360474,0.0001163292,0.001023867,0.0002439625],"domain_scores_gemma":[0.9942393,0.000952267,0.0007544088,0.0002464596,0.002830527,0.0009769658],"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":[0.00007731405,0.00005758361,0.0001228346,0.001840604,0.00002668747,0.0001413979,0.00001426662,0.00005206261,0.0007779275,0.002133284,0.7976964,0.1970597],"study_design_scores_gemma":[0.00004582577,0.00004351705,0.0004045601,0.002177221,0.0000354959,0.0003313352,0.00001029744,0.00004179015,0.0002217619,0.0007982716,0.9958807,0.000009128631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001334435,0.6046044,0.005537732,0.1362712,0.09457843,0.001444182,0.0058716,0.0006629931,0.1496951],"genre_scores_gemma":[0.0117321,0.6030639,0.01785799,0.1085272,0.04067048,0.001708804,0.01232214,0.0002999583,0.2038175],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02940271,"threshold_uncertainty_score":0.09836185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06744672000986825,"score_gpt":0.350854254711036,"score_spread":0.2834075347011678,"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."}}