{"id":"W3213760928","doi":"10.1016/j.chest.2021.10.045","title":"The Right Heart Network and Risk Stratification in Pulmonary Arterial Hypertension","year":2021,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"Stanford Cardiovascular Institute, School of Medicine, Stanford University; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Internal medicine; Cardiology; DLCO; Pulmonary hypertension; Cohort; Heart failure; Diffusing capacity; Lung","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":[0.0009018011,0.0002369439,0.0003571844,0.0007458577,0.000289747,0.0009749997,0.000465698,0.0006039773,0.002795982],"category_scores_gemma":[0.00449101,0.0001391229,0.0002717108,0.0005997153,0.0002665084,0.0009175347,0.0006949158,0.001081178,0.0003677394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278311,"about_ca_system_score_gemma":0.0003977864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435607,"about_ca_topic_score_gemma":0.00618781,"domain_scores_codex":[0.9994751,0.0002574519,0.00004822311,0.00006610701,0.00008881446,0.00006439877],"domain_scores_gemma":[0.9972641,0.001135435,0.0006588355,0.0001637397,0.000211779,0.0005661173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002619271,0.00004622992,0.9879187,0.00003089383,0.0001038401,0.0001399709,0.00003822965,0.0003495504,0.0001701978,0.0004397663,0.0007439101,0.009756746],"study_design_scores_gemma":[0.00002637603,0.00008926752,0.9920134,0.00005903589,0.0001664723,0.0007078887,0.0002032864,0.003564269,0.0001382511,0.001599982,0.001417883,0.00001391348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759329,0.007981927,0.0009756936,0.003053532,0.0001967575,0.00003047068,0.001302927,0.00002060401,0.01050519],"genre_scores_gemma":[0.9967872,0.00125727,0.0004924959,0.00009811685,0.0002445502,0.00001121763,0.0004717741,0.000006527249,0.0006308025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435607,"threshold_uncertainty_score":0.009353518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375687383148744,"score_gpt":0.2723368155403215,"score_spread":0.2485799417088341,"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."}}