{"id":"W4306648505","doi":"10.3386/w30547","title":"Nudging the Nudger: Performance Feedback and Organ Donor Registrations","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Treasury Board of Canada Secretariat; University of Toronto","funders":"Yale School of Management; University of Toronto; Carnegie Mellon University; University of Minnesota; Yale University","keywords":"Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.006967681,0.0009255829,0.002050442,0.0007153068,0.001775014,0.001130075,0.001857308,0.003116377,0.008169043],"category_scores_gemma":[0.01492343,0.0006776203,0.001242094,0.0008020094,0.001922914,0.001039537,0.0009263009,0.003426835,0.0005588321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002921531,"about_ca_system_score_gemma":0.006800092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959522,"about_ca_topic_score_gemma":0.03521571,"domain_scores_codex":[0.9905642,0.006456576,0.0004443045,0.0008730821,0.0008790071,0.0007826966],"domain_scores_gemma":[0.9897106,0.004666658,0.001814192,0.0004408734,0.0004597216,0.002907865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7629966,0.1239061,0.004151829,0.002926837,0.001046991,0.00005627303,0.0006141359,0.0004543446,0.001344056,0.0004207697,0.002264067,0.09981793],"study_design_scores_gemma":[0.6901076,0.2921347,0.01321622,0.0003699083,0.0007092982,0.0000197212,0.0002476197,0.0008828112,0.000592575,0.0002165222,0.001454776,0.00004826239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871301,0.002247608,0.0004319689,0.001156349,0.000652528,0.005868184,0.000275902,0.0001032907,0.002134166],"genre_scores_gemma":[0.9867497,0.001253355,0.002860051,0.0008374255,0.0004360949,0.006233497,0.0001714185,0.00001292778,0.001445544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959522,"threshold_uncertainty_score":0.03896236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2875862266616313,"score_gpt":0.4476825403436603,"score_spread":0.1600963136820291,"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."}}