{"id":"W4285717267","doi":"10.3386/w26673","title":"The Allocation of Decision Authority to Human and Artificial Intelligence","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Operations research; Computer science; Business; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01452016,0.0004816917,0.0004672,0.002072931,0.002332076,0.006465805,0.000681274,0.001971081,0.01515146],"category_scores_gemma":[0.04510595,0.0003260762,0.0003855417,0.001377897,0.01026201,0.004479479,0.003519109,0.002070901,0.0009150041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005122596,"about_ca_system_score_gemma":0.005467519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299328,"about_ca_topic_score_gemma":0.003429462,"domain_scores_codex":[0.9799834,0.01300515,0.0004413532,0.001056113,0.003641777,0.001872269],"domain_scores_gemma":[0.960921,0.02586623,0.00412717,0.002735154,0.003683693,0.002666722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001187562,0.00007762002,0.004878115,0.00006019322,0.00001927462,0.00008475176,0.0008834128,0.002911921,0.0003511858,0.9613201,0.002274943,0.02701978],"study_design_scores_gemma":[0.0001046121,0.0002199134,0.01552285,0.0003058995,0.00003431103,0.0002895814,0.002973555,0.009178338,0.0008252398,0.9121503,0.05835697,0.00003861793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1160119,0.003546571,0.05665907,0.01926725,0.0003765523,0.0002715398,0.00007306736,0.00005067758,0.8037434],"genre_scores_gemma":[0.9816816,0.0008470306,0.004329486,0.0007896153,0.0001536331,0.0001019832,0.00001509085,0.00001780959,0.01206367],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01515146,"threshold_uncertainty_score":0.07679081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6667936020947032,"score_gpt":0.6450718969139818,"score_spread":0.02172170518072136,"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."}}