{"id":"W4220711823","doi":"10.1186/s12968-022-00850-8","title":"Correction to: Quantification of blood flow in the fetus with cardiovascular magnetic resonance imaging using Doppler ultrasound gating: validation against metric optimized gating","year":2022,"lang":"en","type":"erratum","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Angiology; Medicine; Gating; Doppler ultrasound; Magnetic resonance imaging; Ultrasound; Blood flow; Metric (unit); Doppler effect; Radiology; Biomedical engineering; Cardiology; Physics; Engineering; Physiology","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":[0.002434119,0.001919081,0.001754812,0.00362937,0.001687784,0.002609228,0.002455956,0.005497877,0.08249436],"category_scores_gemma":[0.06404139,0.0011865,0.001430803,0.001650888,0.001808916,0.00139674,0.001466849,0.007385117,0.03718551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194429,"about_ca_system_score_gemma":0.00328192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131772,"about_ca_topic_score_gemma":0.0124053,"domain_scores_codex":[0.9969808,0.0004932685,0.000733445,0.000381852,0.00116559,0.0002449834],"domain_scores_gemma":[0.9731694,0.00735417,0.00148636,0.001729121,0.01506581,0.00119519],"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":[0.00008102775,0.000009476244,0.0001240287,0.000218644,0.00001367236,0.0004495184,0.0000259667,0.00007229253,0.0001146279,0.000513841,0.9863529,0.01202403],"study_design_scores_gemma":[0.0001385626,0.00004517034,0.001672432,0.0006690549,0.00005216193,0.002507273,0.0001273768,0.0007590791,0.0009993272,0.002283827,0.9906729,0.00007284282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002985701,0.0007871444,0.001525563,0.02732821,0.9658651,0.00005974506,0.001324046,0.0005340251,0.002277537],"genre_scores_gemma":[0.03146105,0.009065184,0.02158931,0.09228238,0.5594844,0.0006925517,0.004733817,0.005027055,0.2756643],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08249436,"threshold_uncertainty_score":0.2759711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612046283411882,"score_gpt":0.2520507047333433,"score_spread":0.2359302418992245,"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."}}