{"id":"W3180099199","doi":"10.1097/rli.0000000000000809","title":"Impact of Field Strength in Clinical Cardiac Magnetic Resonance Imaging","year":2021,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Field (mathematics); Cardiac magnetic resonance; Medicine; Field strength; Magnetic field; Radiology; Physics; Mathematics","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":[0.001901916,0.0006987013,0.00138576,0.001536403,0.0002375487,0.001384283,0.0008850591,0.001330292,0.003419934],"category_scores_gemma":[0.003099001,0.0002651054,0.0006312098,0.001265235,0.0007808279,0.001528017,0.0006457911,0.001780509,0.001566018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008543335,"about_ca_system_score_gemma":0.001408233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577884,"about_ca_topic_score_gemma":0.001645345,"domain_scores_codex":[0.9991925,0.0002463202,0.0001208952,0.0001328001,0.0002660491,0.00004133123],"domain_scores_gemma":[0.9981737,0.001208261,0.0001685913,0.00002766506,0.0003823193,0.00003945984],"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":[0.0001056418,0.00003874318,0.0004392273,0.02322074,0.0001330368,0.0001854612,0.00008024244,0.0003290939,0.00156583,0.005369878,0.02380744,0.9447247],"study_design_scores_gemma":[0.0000335044,0.0001685392,0.002257127,0.01330661,0.0002997894,0.002594618,0.0001160017,0.000173876,0.001337808,0.004299405,0.9753709,0.00004190083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001507222,0.9980257,0.000115615,0.0005044859,0.0002209344,0.00000329528,0.000009927109,0.000004499361,0.0009648296],"genre_scores_gemma":[0.002003507,0.9963769,0.0002860776,0.0005397885,0.0003433291,0.000008513278,0.00002473623,0.000002858365,0.0004141958],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003419934,"threshold_uncertainty_score":0.01144081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083967732169181,"score_gpt":0.4160747361457578,"score_spread":0.355235058824066,"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."}}