{"id":"W2111550001","doi":"10.1007/bf03405443","title":"Current Canadian Initiatives to Reimburse Live Organ Donors for their Non-Medical Expenses","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; University of Alberta; London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada","keywords":"Reimbursement; Donation; Business; Medical expenses; Organ donation; Finance; Transplantation; Actuarial science; Health care; Medicine; Economic growth; Economics; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005818246,0.0007472788,0.0005762483,0.004407558,0.006844037,0.007781795,0.003430442,0.003527035,0.02962604],"category_scores_gemma":[0.01767249,0.0004917502,0.001604513,0.006023082,0.002252082,0.001355813,0.001875735,0.004967242,0.001791197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1182772,"about_ca_system_score_gemma":0.2932463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794915,"about_ca_topic_score_gemma":0.9912949,"domain_scores_codex":[0.9886586,0.0006715277,0.0003986751,0.000430388,0.007121542,0.002719236],"domain_scores_gemma":[0.968776,0.001942029,0.001571954,0.0004871856,0.01884599,0.008376848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001428649,0.000134137,0.01941032,0.0005878751,0.0001303737,0.0002107674,0.0007637594,0.0005924476,0.0005217887,0.09478991,0.8099551,0.07276075],"study_design_scores_gemma":[0.0001074227,0.00004801523,0.07336437,0.0008970748,0.0001812218,0.0002996442,0.001463072,0.0005926035,0.0004770825,0.002500661,0.9199776,0.00009125622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03717538,0.02847228,0.003092936,0.4576246,0.007539507,0.0003787898,0.007074934,0.0009598726,0.4576817],"genre_scores_gemma":[0.4285558,0.04229351,0.01926655,0.1547873,0.003438472,0.0003909084,0.006197289,0.0003819361,0.3446882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1182772,"threshold_uncertainty_score":0.858165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611007067579788,"score_gpt":0.3590324251842445,"score_spread":0.2929223545084466,"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."}}