{"id":"W3119435109","doi":"10.1186/s13023-020-01579-2","title":"Predictors of mortality in patients with hereditary hemorrhagic telangiectasia","year":2021,"lang":"en","type":"article","venue":"Orphanet Journal of Rare Diseases","topic":"Vascular Anomalies and Treatments","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; Li Ka Shing Foundation","keywords":"Medicine; ACVRL1; Telangiectasia; Arteriovenous malformation; Internal medicine; Mortality rate; Population; Proportional hazards model; Pediatrics; Surgery; Endoglin","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":[0.0004345654,0.0002267401,0.0002560235,0.0004956347,0.0002366163,0.0003891412,0.0002496133,0.0003660964,0.0008286724],"category_scores_gemma":[0.001865093,0.0001687708,0.0003520887,0.0006307425,0.0001862739,0.0002322801,0.0002953333,0.0006409489,0.00009661081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211335,"about_ca_system_score_gemma":0.0002082211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764893,"about_ca_topic_score_gemma":0.002873978,"domain_scores_codex":[0.9997627,0.00008217613,0.00002505733,0.00004856643,0.0000379546,0.0000435851],"domain_scores_gemma":[0.9988825,0.0002901448,0.0004910521,0.00004853593,0.00008518419,0.0002026802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006677365,0.000006759643,0.9994191,0.000002635155,0.00001697745,0.00003977659,0.00001018143,0.00003454146,0.00003890121,0.000003058849,0.00003834049,0.0003230825],"study_design_scores_gemma":[0.000005673506,0.00005850614,0.9992918,0.000003259323,0.00001850603,0.0002087967,0.0000393982,0.0002958421,0.00002950555,0.00001743052,0.00002939728,0.00000174983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993357,0.0002767048,0.00004682313,0.00005080553,0.000003438361,0.000002242102,0.0001742717,0.000004230462,0.0001056617],"genre_scores_gemma":[0.999653,0.00006260214,0.00003029636,0.000008077601,0.000007091416,0.000002383462,0.000201765,6.216978e-7,0.00003416491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002764893,"threshold_uncertainty_score":0.005497575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931876663245315,"score_gpt":0.2297560715325248,"score_spread":0.2228241948692795,"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."}}