{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001542061,0.0005250137,0.006166235,0.0005566991,0.00005562281,0.00001623846,0.0002907828,0.001557141,0.00001389859],"category_scores_gemma":[0.005617489,0.0004715992,0.002154082,0.0006991966,0.0004480892,0.00002010088,0.0002794005,0.001932204,0.003304839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118928,"about_ca_system_score_gemma":0.0006506365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007593598,"about_ca_topic_score_gemma":0.000002000768,"domain_scores_codex":[0.9959377,0.0006715773,0.001635359,0.0009014655,0.0001738273,0.000680052],"domain_scores_gemma":[0.9948708,0.003480429,0.0002879572,0.001046672,0.0001169969,0.0001971349],"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":[0.000026129,0.00002017793,0.0007987282,0.004058935,0.0007375806,0.004082869,0.00002664625,0.00005481933,3.093607e-8,0.001059978,0.005436474,0.9836977],"study_design_scores_gemma":[0.00008865419,0.0001472706,0.0002046423,0.0039649,0.002418353,0.00133721,0.00006926409,0.00002655435,3.049254e-8,0.000902377,0.990449,0.0003917638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000208394,0.9893379,0.0002569492,0.00009923912,0.004321663,0.0008498325,0.0001130124,0.0002640226,0.004736565],"genre_scores_gemma":[0.00008266102,0.9956499,0.0001766617,0.0002604202,0.003075032,0.00009476038,0.0003384355,0.00016844,0.0001536413],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9850125,"threshold_uncertainty_score":0.9997736,"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."}}