{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002105843,0.0001133553,0.0002351963,0.00008500541,0.0008506067,0.0001198933,0.0002603865,0.000339419,0.000123347],"category_scores_gemma":[0.002132643,0.0000796653,0.0002135416,0.0005820685,0.0002589547,0.0003162815,0.0000373849,0.0001424424,0.000002474449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221074,"about_ca_system_score_gemma":0.004267564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03359778,"about_ca_topic_score_gemma":0.2595352,"domain_scores_codex":[0.9984049,0.00006070998,0.0004403989,0.0001712165,0.0006544238,0.0002684007],"domain_scores_gemma":[0.9971409,0.001539967,0.0002847158,0.0002765035,0.0007082836,0.00004960125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001521339,0.00002465011,0.006863143,0.00007971916,0.00004790118,1.198632e-7,0.05070692,0.0001440874,7.23961e-7,0.02842485,0.9113983,0.002308063],"study_design_scores_gemma":[0.00005656122,0.000006863827,0.01936371,0.00007097426,0.0000368071,2.305857e-7,0.02964824,0.00005960141,0.000005002217,0.002108639,0.9485277,0.0001156573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05657158,0.002682597,0.00215048,0.07507221,0.03802283,0.0110859,0.0007053567,0.001090167,0.8126189],"genre_scores_gemma":[0.02895959,0.01098995,0.00230678,0.0006698797,0.004659665,0.0004206023,0.0002451031,0.00006025023,0.9516882],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2259374,"threshold_uncertainty_score":0.9728376,"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."}}