{"id":"W4220801252","doi":"10.3390/app12073518","title":"Pulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Medicine; Pulmonary artery; Internal medicine; Cardiology; Hemodynamics; Magnetic resonance imaging; Ventricle; Cardiac magnetic resonance imaging; Ejection fraction; Pulmonary hypertension; Radiology; Heart failure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004715084,0.0003060175,0.0002913828,0.0005531207,0.0001782346,0.000418949,0.0001385389,0.000425568,0.001039907],"category_scores_gemma":[0.001132688,0.0001173946,0.000139585,0.0003959023,0.0002684263,0.0003182877,0.0002252941,0.0002801034,0.0001385543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008788047,"about_ca_system_score_gemma":0.0001273407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002172994,"about_ca_topic_score_gemma":0.0002688486,"domain_scores_codex":[0.9997391,0.00008458578,0.00003311691,0.00004972395,0.00005898116,0.00003449053],"domain_scores_gemma":[0.9993474,0.0001424311,0.0003201881,0.00003394205,0.00004635931,0.0001096291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000338468,0.00009668439,0.9893382,0.00002247329,0.00004141607,0.0003361916,0.00005238963,0.00005641934,0.005680429,0.00004643997,0.00003272674,0.003958399],"study_design_scores_gemma":[0.000008712942,0.0002592273,0.9976773,0.000004614452,0.00002113268,0.0009897464,0.0000507098,0.0002195284,0.0006103361,0.0000531716,0.0001030596,0.000002498781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998251,0.0006793633,0.0003932162,0.00003287242,0.000005977458,0.00001294799,0.00005046635,0.000003636433,0.0005705858],"genre_scores_gemma":[0.9994867,0.0001039056,0.0001992489,0.00001522157,0.00002198552,0.000008867259,0.00004386655,6.589157e-7,0.000119468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039907,"threshold_uncertainty_score":0.003478765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777145162531604,"score_gpt":0.2547502427107829,"score_spread":0.2369787910854669,"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."}}