{"id":"W2953572598","doi":"10.1177/2054358119859897","title":"Impact of Predialysis Psychosocial Conditions on Kidney Transplant Recipient Survival: Evidence Using Propensity Score Matching","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Institute for Clinical Evaluative Sciences","keywords":"Psychosocial; Medicine; Hazard ratio; Propensity score matching; Proportional hazards model; Transplantation; Internal medicine; Confidence interval; Kidney transplantation; Dialysis; Relative risk; Retrospective cohort study; Cohort; End stage renal disease; Intensive care medicine; Hemodialysis; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01654946,0.0003455931,0.0007364973,0.001667948,0.0004008758,0.001034109,0.0009247353,0.0006135754,0.002652777],"category_scores_gemma":[0.04645849,0.0001957208,0.002143018,0.003307758,0.0006584037,0.0006874658,0.0007314766,0.0004966266,0.000157554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563506,"about_ca_system_score_gemma":0.001305765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005877925,"about_ca_topic_score_gemma":0.004790154,"domain_scores_codex":[0.9910517,0.005690001,0.0008143406,0.0007224001,0.001519009,0.000202676],"domain_scores_gemma":[0.9495484,0.03143341,0.01302599,0.003730766,0.001635087,0.0006262764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00145119,0.00009733081,0.9339117,0.0006206623,0.004190406,0.00003238454,0.00007652161,0.0008609059,0.00004733619,0.0006260861,0.0005463464,0.05753923],"study_design_scores_gemma":[0.0003904746,0.0007656977,0.9775701,0.0009422232,0.007407256,0.0003138015,0.0001878953,0.006861052,0.0002484333,0.001921248,0.003358087,0.00003379454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414497,0.04173923,0.008810367,0.001491596,0.0001915114,0.0003671176,0.001664134,0.00003526771,0.004251137],"genre_scores_gemma":[0.9912936,0.006310032,0.001508218,0.0001339032,0.00008749819,0.00007268411,0.0004613166,0.000006173331,0.0001265537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01654946,"threshold_uncertainty_score":0.08752292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07973708155803,"score_gpt":0.3654832793192395,"score_spread":0.2857461977612095,"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."}}