{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000592543,0.00008295362,0.0006588312,0.00002849553,0.00001545134,0.000008849967,0.00002765874,0.00001028405,0.0002837723],"category_scores_gemma":[0.0001177113,0.00006671293,0.00008756683,0.00003359744,0.00005800875,0.00004667649,0.000004903936,0.00003064526,0.0001200472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003859245,"about_ca_system_score_gemma":0.00004798511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001949281,"about_ca_topic_score_gemma":0.00001280269,"domain_scores_codex":[0.9993467,0.00008871836,0.0002756213,0.0001737948,0.00002653204,0.00008864279],"domain_scores_gemma":[0.9992058,0.0004242952,0.0001531374,0.0001253947,0.00001911922,0.00007225201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02275822,0.0002518867,0.3017031,0.01814367,0.001531578,0.000003266999,0.0008948909,0.000004476036,0.001898455,0.004010919,0.01671135,0.6320882],"study_design_scores_gemma":[0.3685112,0.0008879912,0.2320386,0.005086858,0.001355347,0.0001122152,0.0002182941,0.002466634,0.00140909,0.00007827606,0.3867186,0.001116882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165031,0.06061355,0.001034418,0.007564823,0.0003946838,0.007852207,0.00006295976,0.00007886128,0.005895358],"genre_scores_gemma":[0.8647838,0.1229108,0.001155148,0.01004078,0.00005149718,0.0002215081,0.0001742746,0.00002482102,0.0006373948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6309713,"threshold_uncertainty_score":0.3107108,"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."}}