{"id":"W3174969816","doi":"10.2139/ssrn.3522322","title":"The Allocation of Decision Authority to Human and Artificial Intelligence","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Artificial intelligence; Operations research; Computer science; 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":[0.01291547,0.000403627,0.0007491016,0.003463251,0.001748179,0.009580592,0.001210746,0.003323505,0.01279007],"category_scores_gemma":[0.04115564,0.000431549,0.0004831234,0.001905711,0.02115915,0.006802543,0.003349002,0.00205701,0.001105798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004393144,"about_ca_system_score_gemma":0.00406837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908175,"about_ca_topic_score_gemma":0.002170001,"domain_scores_codex":[0.9859598,0.009147788,0.0003736462,0.001259583,0.00206041,0.001198807],"domain_scores_gemma":[0.9711064,0.01953281,0.002024043,0.00329031,0.002290315,0.001756255],"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":[0.00004458538,0.00002686363,0.0009359746,0.00002331868,0.00002637639,0.00003215173,0.0005316868,0.002089507,0.0001678015,0.9838433,0.001300495,0.01097802],"study_design_scores_gemma":[0.00002554328,0.00001469635,0.001248191,0.00002808298,0.000008185374,0.00002496709,0.0002580777,0.002896921,0.00009379046,0.9885609,0.006830394,0.00001026273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1353003,0.005023588,0.1413034,0.0438382,0.0005970374,0.0001445425,0.0001699742,0.0001296193,0.6734934],"genre_scores_gemma":[0.988634,0.000482737,0.004138999,0.0007936403,0.0002936873,0.00006236341,0.0000215726,0.00002847444,0.005544486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01291547,"threshold_uncertainty_score":0.0683043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073737704742278,"score_gpt":0.2561906386696533,"score_spread":0.2154532616222305,"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."}}