{"id":"W4388978771","doi":"10.22215/sppa-rgi-nov2023","title":"Informing Possible Futures for the use of Third-Party Audits in AI Regulations","year":2023,"lang":"en","type":"report","venue":"","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Audit; Futures contract; Business; Feature (linguistics); Accounting; Risk analysis (engineering); Computer science; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2034287,0.0006169422,0.0007707973,0.004107696,0.007070829,0.03288788,0.004571958,0.01943686,0.008578633],"category_scores_gemma":[0.2060308,0.0009790191,0.001669877,0.004815604,0.01635627,0.01865107,0.006861392,0.01563632,0.001635489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03370776,"about_ca_system_score_gemma":0.1398875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1641721,"about_ca_topic_score_gemma":0.1837389,"domain_scores_codex":[0.8206291,0.116561,0.007810077,0.004234366,0.03706812,0.01369734],"domain_scores_gemma":[0.5485296,0.2861703,0.0202117,0.03115239,0.0996327,0.01430321],"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":[0.0001127606,0.0002636684,0.009025061,0.0002402144,0.00002172031,0.0004207246,0.005952034,0.00381247,0.0006572461,0.8324705,0.08087439,0.06614918],"study_design_scores_gemma":[0.0001456272,0.0002033094,0.007023625,0.003272962,0.00006623207,0.0003989688,0.01439213,0.009813171,0.00355888,0.2174375,0.7432945,0.0003931255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0232419,0.004306066,0.04791976,0.6668549,0.002067883,0.001156594,0.0004939891,0.0006819881,0.2532769],"genre_scores_gemma":[0.6559041,0.008734563,0.1331185,0.1472731,0.001327993,0.001998659,0.0007377506,0.000290681,0.05061475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2034287,"threshold_uncertainty_score":0.9823142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2428505803871829,"score_gpt":0.4492930192215117,"score_spread":0.2064424388343287,"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."}}