{"id":"W2943946268","doi":"10.1002/ejhf.1499","title":"Expert Consensus Document: Reporting Checklist for Quantification of Pulmonary Congestion by Lung Ultrasound in Heart Failure","year":2019,"lang":"en","type":"article","venue":"European Journal of Heart Failure","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; HeartWare; National Heart, Lung, and Blood Institute; Servier; Sanofi","keywords":"Medicine; Checklist; Standardization; Heart failure; Lung ultrasound; Ultrasound; Medical physics; Intensive care medicine; Radiology; Cardiology; Computer science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2842401,0.003685888,0.007569378,0.01523841,0.00532923,0.01073533,0.01208032,0.01454415,0.01585762],"category_scores_gemma":[0.4508284,0.004260223,0.01410055,0.007742532,0.005361257,0.006347488,0.008009042,0.01469063,0.01704363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104881,"about_ca_system_score_gemma":0.05629605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005157773,"about_ca_topic_score_gemma":0.005490837,"domain_scores_codex":[0.6217474,0.1677627,0.1566474,0.005001517,0.04439748,0.004443538],"domain_scores_gemma":[0.3616553,0.1801289,0.07094332,0.02558766,0.3540266,0.007658292],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007006559,0.00035093,0.001456393,0.04918008,0.0004446629,0.0005576158,0.001496638,0.001100537,0.001708959,0.005410737,0.8011009,0.1364919],"study_design_scores_gemma":[0.001948725,0.0006160035,0.005509624,0.09537031,0.0008576006,0.001472862,0.001836385,0.001871367,0.002653223,0.00894183,0.8783666,0.0005554724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.004392083,0.03974541,0.2171135,0.2265179,0.05119734,0.3740441,0.04486086,0.006796638,0.03533215],"genre_scores_gemma":[0.01109077,0.02725258,0.5026225,0.0346777,0.008777265,0.3652817,0.03508462,0.001103366,0.01410948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7157599,"threshold_uncertainty_score":0.8826594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771888428400252,"score_gpt":0.3308752378850148,"score_spread":0.3031563536010122,"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."}}