{"id":"W2917521205","doi":"10.1257/aer.20180568","title":"Paying for Kidneys? A Randomized Survey and Choice Experiment","year":2019,"lang":"en","type":"article","venue":"American Economic Review","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Mississauga; Carey Business School, Johns Hopkins University; Einaudi Institute for Economics and Finance; University of Toronto; Johns Hopkins University; Alfred P. Sloan Foundation","keywords":"Payment; Economics; Compensation (psychology); Polarization (electrochemistry); Actuarial science; Public economics; Microeconomics; Psychology; Social psychology; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05163553,0.001756996,0.003072446,0.0009623313,0.001573623,0.002578508,0.002319888,0.005382454,0.02396315],"category_scores_gemma":[0.05499782,0.001409838,0.001856183,0.001016511,0.004411719,0.002818694,0.001330583,0.00363921,0.002375315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214945,"about_ca_system_score_gemma":0.002523755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048689,"about_ca_topic_score_gemma":0.001468014,"domain_scores_codex":[0.9475863,0.04599128,0.001144797,0.002268183,0.001294621,0.001714852],"domain_scores_gemma":[0.8423694,0.1308567,0.01246311,0.008037922,0.003352155,0.002920666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.546248,0.1673226,0.04603761,0.004934459,0.005339774,0.001236323,0.004530183,0.02916996,0.007204746,0.09671298,0.01748388,0.07377949],"study_design_scores_gemma":[0.5495269,0.1574229,0.01887771,0.0004898194,0.00335174,0.0003232007,0.00227432,0.1628683,0.00402112,0.08343751,0.01672666,0.0006798508],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386567,0.0005805332,0.01976413,0.003397323,0.001456714,0.02716093,0.002102842,0.0001910649,0.006689828],"genre_scores_gemma":[0.9330552,0.0003962521,0.02309637,0.004034068,0.0006243286,0.03295124,0.0005652129,0.00001928599,0.005258068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05163553,"threshold_uncertainty_score":0.2730781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130701696597948,"score_gpt":0.3300212693341478,"score_spread":0.3087142523681683,"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."}}