{"id":"W4220777062","doi":"10.1053/j.ajkd.2022.01.427","title":"Associations of Lack of Insurance and Other Sociodemographic Traits With Follow-up After Living Kidney Donation","year":2022,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Calgary","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Medicine; United Network for Organ Sharing; Donation; Transplantation; Organ procurement; Kidney donation; Kidney transplantation; Family medicine; Organ donation; Procurement; Surgery; Business; Law","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":[0.001218958,0.0001092576,0.0003154883,0.0003961441,0.001200112,0.0006136809,0.0004113192,0.003731367,0.003852028],"category_scores_gemma":[0.0100998,0.0001545696,0.0004121055,0.000651155,0.0002494945,0.0004617194,0.0002877808,0.002331555,0.0006395052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007483573,"about_ca_system_score_gemma":0.001129939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440699,"about_ca_topic_score_gemma":0.03521009,"domain_scores_codex":[0.99933,0.0002189195,0.00009290788,0.00006975542,0.0001183393,0.000170113],"domain_scores_gemma":[0.9921108,0.003885973,0.001375714,0.0003662332,0.0009186718,0.001342535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003019751,0.0001914498,0.9566519,0.00002293172,0.00003622386,0.001648438,0.000241383,0.00005946323,0.0001232518,0.0001716726,0.03206229,0.008488974],"study_design_scores_gemma":[0.00006227843,0.000300004,0.9802606,0.00009670316,0.00007664469,0.002426336,0.001167741,0.0008560782,0.0001519026,0.0007972976,0.0137702,0.00003426093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.706339,0.001619917,0.0002762115,0.2673711,0.003770305,0.00004212528,0.002667708,0.00003757793,0.01787592],"genre_scores_gemma":[0.9300449,0.0006248081,0.0002759879,0.05491035,0.003565459,0.00005322939,0.0005994466,0.00001472465,0.009911162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01440699,"threshold_uncertainty_score":0.02864629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528459271038729,"score_gpt":0.2651832769416306,"score_spread":0.2498986842312433,"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."}}