{"id":"W4362469762","doi":"10.1503/cjs.021821","title":"The epidemiology of early deep vein thrombosis in kidney transplant recipients","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Hazard ratio; Kidney transplantation; Internal medicine; Cumulative incidence; Body mass index; Proportional hazards model; Deep vein; Incidence (geometry); Transplantation; Confidence interval; Cohort; Surgery; Thrombosis; Cohort study","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001100044,0.0001470772,0.0003081958,0.001132083,0.0002538183,0.000624309,0.0003311751,0.0003679892,0.0007564671],"category_scores_gemma":[0.003094122,0.0001804947,0.0003890508,0.001335293,0.0002454313,0.0003727708,0.0003956659,0.0005472954,0.00008447011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455937,"about_ca_system_score_gemma":0.0004502621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003973044,"about_ca_topic_score_gemma":0.002962504,"domain_scores_codex":[0.9990965,0.0002599721,0.0001468239,0.0001345696,0.000240039,0.0001221076],"domain_scores_gemma":[0.9957904,0.0005732965,0.002779683,0.0001464235,0.0002656466,0.0004445258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002727447,0.00001518853,0.9989173,0.00001155279,0.00002448794,0.00002707176,0.00001515291,0.00002780822,0.00006170605,0.00001084053,0.00003215477,0.0008294292],"study_design_scores_gemma":[0.0000035541,0.00005975626,0.9992988,0.00001127151,0.00001651624,0.000315237,0.0000418736,0.0001067686,0.0000288771,0.00002369485,0.00009104628,0.000002599655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980388,0.001167214,0.0001433267,0.00008149716,0.000006076474,0.000006800248,0.0003340966,0.00000324018,0.0002189202],"genre_scores_gemma":[0.9991942,0.0004314434,0.00009782441,0.00002553448,0.00002092578,0.000005003842,0.0001882472,8.766298e-7,0.00003584469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003973044,"threshold_uncertainty_score":0.007899821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09982561070635014,"score_gpt":0.3222169738795435,"score_spread":0.2223913631731933,"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."}}