{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01881796,0.00008528371,0.0002497605,0.0002168967,0.0009613123,0.0001897369,0.0005432124,0.0003466043,0.00006644898],"category_scores_gemma":[0.02064139,0.00007636668,0.00007876787,0.000238714,0.0009327304,0.0001304383,0.0001843559,0.000617898,0.00002121366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632648,"about_ca_system_score_gemma":0.005371082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0143736,"about_ca_topic_score_gemma":0.0193894,"domain_scores_codex":[0.9964455,0.0003319108,0.0006001375,0.0002729694,0.0021066,0.000242933],"domain_scores_gemma":[0.9919077,0.003556682,0.0002554135,0.0001412744,0.003963672,0.0001752279],"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":[0.0000231516,0.00001812812,0.00005342184,0.00002210038,0.00002641476,2.342798e-7,0.001904298,0.00002146916,0.00007332779,0.9696007,0.008140437,0.02011629],"study_design_scores_gemma":[0.00001654769,0.00008865443,0.0004655335,0.000056505,0.000004489311,1.861146e-7,0.001290557,0.00004143817,0.0001683062,0.9737738,0.02402265,0.00007132805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01199798,0.0004335353,0.0001007614,0.04899811,0.0008138124,0.001056853,0.0000700968,0.00001391035,0.9365149],"genre_scores_gemma":[0.9954457,0.002279511,0.000181008,0.00002065319,0.0009756589,0.00001597261,0.00002333286,0.00001063005,0.001047564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9834477,"threshold_uncertainty_score":0.9985042,"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."}}