{"id":"W4408666990","doi":"10.70777/si.v2i1.13975","title":"Effective Mitigations for Systemic Risks from General-Purpose AI","year":2025,"lang":"en","type":"article","venue":"SuperIntelligence - Robotics - Safety & Alignment","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Systemic risk; Computer science; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002189176,0.0004730692,0.000938723,0.0004541235,0.0007807153,0.0003766828,0.001463264,0.0002521312,0.000416862],"category_scores_gemma":[0.001142919,0.0003955215,0.0007912266,0.001506298,0.0002739285,0.0003377486,0.000290244,0.000283523,0.0005695809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780758,"about_ca_system_score_gemma":0.0002399509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008051616,"about_ca_topic_score_gemma":0.0002129641,"domain_scores_codex":[0.9942628,0.0005247755,0.001834205,0.001336214,0.001362653,0.0006793958],"domain_scores_gemma":[0.9936231,0.003472329,0.0002812947,0.001589521,0.0007594042,0.0002743744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002595088,0.0002654931,0.01037618,0.00003473516,0.000652473,0.00001787091,0.001415205,0.8221027,0.003837257,0.05934804,0.003647334,0.09804324],"study_design_scores_gemma":[0.001504715,0.0004305123,0.01143313,0.0005176209,0.001207176,0.00002454427,0.007494767,0.2821409,0.0619232,0.5525585,0.0791002,0.001664759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01756761,0.001407863,0.9687878,0.007796708,0.001168173,0.001799694,0.0003164838,0.00009325221,0.001062346],"genre_scores_gemma":[0.970849,0.001544754,0.02077783,0.001213467,0.0002470868,0.0004029308,0.000132568,0.00003615212,0.004796151],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532815,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07041623951217256,"score_gpt":0.4075346826216562,"score_spread":0.3371184431094836,"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."}}