{"id":"W2956630538","doi":"10.1186/s12968-019-0551-6","title":"Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank","year":2019,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Health Research Council of New Zealand; Medical Research Council; National Institutes of Health; Siemens Healthineers; Northwest Regional Development Agency; Circle Cardiovascular Imaging; University of Oxford; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Barts and The London School of Medicine and Dentistry; National Heart Foundation of New Zealand; British Heart Foundation; Wellcome Trust","keywords":"Biobank; Angiology; Medicine; Morphometrics; Magnetic resonance imaging; Cardiac magnetic resonance; Cardiology; Ventricular function; Morphology (biology); Internal medicine; Radiology; Bioinformatics; Genetics; Biology; Zoology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001566791,0.0001960977,0.0002803531,0.00145818,0.0002391288,0.0006915639,0.000467369,0.0005205394,0.002147284],"category_scores_gemma":[0.007145052,0.0002136823,0.0001799784,0.001684602,0.0004337088,0.0005713421,0.001204049,0.0001926383,0.0004718733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004020467,"about_ca_system_score_gemma":0.0001962504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007396661,"about_ca_topic_score_gemma":0.008056414,"domain_scores_codex":[0.9991008,0.000308239,0.0001123797,0.0002517377,0.0001737017,0.00005310527],"domain_scores_gemma":[0.9971813,0.0005154689,0.00127027,0.0005485914,0.0003558337,0.0001285775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002587541,0.00001863754,0.9805691,0.00007685117,0.00005238726,0.0002392539,0.001066441,0.0003518798,0.001787579,0.0002358255,0.0007950934,0.01454824],"study_design_scores_gemma":[0.000004416762,0.00003406014,0.998248,0.00002118079,0.00001036992,0.000343176,0.0001305937,0.0004169046,0.0001551381,0.0000807629,0.0005506673,0.000004843805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958429,0.0004636034,0.001440175,0.00006648005,0.000007315612,0.00001924999,0.001484024,0.00001377294,0.0006625119],"genre_scores_gemma":[0.9976042,0.0001321531,0.001150722,0.0000212457,0.000006409589,0.00002619152,0.0008103246,0.00001082647,0.0002380111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007396661,"threshold_uncertainty_score":0.01470721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445858768946675,"score_gpt":0.2278888744023281,"score_spread":0.2134302867128614,"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."}}