{"id":"W4321369045","doi":"10.1016/j.ccl.2023.01.004","title":"Artificial Intelligence in Nuclear Cardiology","year":2023,"lang":"en","type":"review","venue":"Cardiology Clinics","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Pfizer","keywords":"Medicine; Cardiology; Internal medicine; Medical physics","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":[0.001135505,0.0009913637,0.001979052,0.003110467,0.0002736958,0.001992042,0.0008689538,0.001811363,0.006192142],"category_scores_gemma":[0.002815608,0.0004009972,0.000787887,0.003486718,0.0009144364,0.002076112,0.001127269,0.002461626,0.002266025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553502,"about_ca_system_score_gemma":0.001776698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801383,"about_ca_topic_score_gemma":0.003415508,"domain_scores_codex":[0.9996305,0.00009741086,0.00008058948,0.00005432916,0.0001069375,0.00003035005],"domain_scores_gemma":[0.9984012,0.001068991,0.0001974961,0.00003852825,0.0002177371,0.00007616782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005982377,0.00006106526,0.0001676751,0.02924677,0.0002054898,0.000110126,0.00004949972,0.0004667501,0.000346254,0.003033806,0.03784689,0.9284059],"study_design_scores_gemma":[0.000100497,0.0001949737,0.001875717,0.0345718,0.0007227568,0.001247142,0.00009255385,0.0005746408,0.0003073429,0.007195951,0.9530616,0.0000549674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005271482,0.9983103,0.0001543867,0.0003175514,0.0002835669,0.000004442029,0.00001204099,0.000006939697,0.0008579793],"genre_scores_gemma":[0.000710568,0.9973618,0.0003006637,0.0006369678,0.0004353952,0.000006617779,0.00002754485,0.000002184567,0.000518109],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006192142,"threshold_uncertainty_score":0.02071482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1735673519229799,"score_gpt":0.4473837647475017,"score_spread":0.2738164128245217,"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."}}