{"id":"W1992959589","doi":"10.1136/bmj.322.7300.1446","title":"Canadians seek kidney transplants in poor countries","year":2001,"lang":"en","type":"article","venue":"BMJ","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Medicine; Kidney transplant; Kidney transplantation; Family medicine; Economic growth; Political science; Transplantation; Surgery; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005780708,0.0002774767,0.0004949126,0.001308713,0.0133356,0.002265983,0.0005333819,0.001620017,0.03600999],"category_scores_gemma":[0.002651879,0.0002347557,0.0005006175,0.003760182,0.001516347,0.0008491259,0.001790379,0.00132843,0.003140629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008349866,"about_ca_system_score_gemma":0.01715948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9297776,"about_ca_topic_score_gemma":0.9685666,"domain_scores_codex":[0.9989688,0.00007806963,0.00002985259,0.00006223215,0.0002609279,0.000600004],"domain_scores_gemma":[0.9979651,0.0001210419,0.0002307979,0.00004167586,0.0005799857,0.001061488],"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":[0.0001361579,0.0001295123,0.2588829,0.0007583676,0.00009532934,0.002407176,0.009713069,0.0001488521,0.00055052,0.005649531,0.6265795,0.09494911],"study_design_scores_gemma":[0.0001171086,0.0001065512,0.3657295,0.001668368,0.0002161024,0.002982661,0.05472357,0.0001800328,0.000194631,0.002237482,0.571683,0.0001610017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4228137,0.0267803,0.000442092,0.187868,0.00250025,0.0003327011,0.00871083,0.0002327078,0.3503194],"genre_scores_gemma":[0.7312266,0.02933756,0.0008496954,0.1425554,0.001027441,0.0001294758,0.002715682,0.00009838356,0.09205975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07022238,"threshold_uncertainty_score":0.1412718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372874497667203,"score_gpt":0.2792527223869774,"score_spread":0.2655239774103054,"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."}}