{"id":"W4395036922","doi":"10.1148/radiol.240588","title":"Energy and Greenhouse Gas Emission Savings Associated with Implementation of an Abbreviated Cardiac MRI Protocol","year":2024,"lang":"en","type":"article","venue":"Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Medicine; Greenhouse gas; Protocol (science); Energy (signal processing); Kyoto Protocol; Pathology; Statistics","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":[0.002325935,0.0004696594,0.0002762069,0.0005409892,0.0003425246,0.0006870381,0.001038112,0.0006893484,0.004296421],"category_scores_gemma":[0.007504101,0.0002396521,0.0002856334,0.0005110991,0.0003041992,0.0008184162,0.0008193345,0.0006909517,0.0006893188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005262518,"about_ca_system_score_gemma":0.001626472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00318276,"about_ca_topic_score_gemma":0.005200129,"domain_scores_codex":[0.9987594,0.0005095953,0.000135713,0.0001148228,0.000356099,0.0001243174],"domain_scores_gemma":[0.996055,0.0009166383,0.0005105715,0.0007330449,0.001615062,0.0001695808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006439445,0.001623494,0.01057481,0.001054163,0.0001554637,0.001554981,0.0004610955,0.03040125,0.5506668,0.008599915,0.01377829,0.3746902],"study_design_scores_gemma":[0.001211941,0.01034279,0.09854109,0.0005994225,0.000856804,0.004399124,0.001193889,0.08386374,0.616482,0.01215485,0.1697081,0.0006462391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6270522,0.001992217,0.3141849,0.006638268,0.0009917563,0.002747926,0.002159965,0.003693255,0.04053938],"genre_scores_gemma":[0.6843809,0.001015014,0.3006786,0.00167753,0.0001278187,0.001620079,0.001461905,0.0004402712,0.008597802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004296421,"threshold_uncertainty_score":0.01437294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005364887996507605,"score_gpt":0.2602936946577655,"score_spread":0.2549288066612579,"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."}}