{"id":"W4401904338","doi":"10.1093/ehjimp/qyae089","title":"Lung water density is increased in patients at risk of heart failure and is largely independent of conventional cardiovascular magnetic resonance measures","year":2024,"lang":"en","type":"article","venue":"European Heart Journal - Imaging Methods and Practice","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lung; Medicine; Magnetic resonance imaging; Internal medicine; Cardiology; Heart failure; Cardiac magnetic resonance; Clinical Practice; Radiology; Physical therapy","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":[0.0005178983,0.0002858865,0.0003820795,0.0006183287,0.0002328741,0.0004257419,0.0002517862,0.0005027355,0.001707777],"category_scores_gemma":[0.001920835,0.0002144385,0.0002186415,0.0004142859,0.0003710982,0.0003815372,0.0003943818,0.000480866,0.0002667326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170928,"about_ca_system_score_gemma":0.0001225304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008652757,"about_ca_topic_score_gemma":0.0009262979,"domain_scores_codex":[0.9997204,0.00007158898,0.00003235757,0.00007266235,0.00005700059,0.00004600333],"domain_scores_gemma":[0.9987872,0.0002915805,0.0005919245,0.00006280232,0.00007790514,0.0001886253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001268834,0.00001932717,0.9980474,0.000009300937,0.00003625974,0.00006374333,0.00002004042,0.00002178413,0.000450031,0.00001198355,0.00005861864,0.001134638],"study_design_scores_gemma":[0.000004667477,0.00006184473,0.9993899,0.000003033778,0.00001549447,0.0002239108,0.00003034665,0.0001451572,0.00004895868,0.00002653633,0.00004832405,0.000001738829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988413,0.0004181057,0.0002077076,0.0000648963,0.000008530787,0.000004472906,0.0001181655,0.000007321207,0.0003294861],"genre_scores_gemma":[0.9995877,0.00007517894,0.00009838501,0.00002340547,0.00002201035,0.000004769461,0.0001092179,0.000001305207,0.00007801644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707777,"threshold_uncertainty_score":0.005713046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931812925324123,"score_gpt":0.3776891125894175,"score_spread":0.3383709833361763,"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."}}