{"id":"W4249374790","doi":"10.2139/ssrn.4042321","title":"AI-enabled manipulation and EU law","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Law; Political science; Computer science","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":[0.007774866,0.0003081629,0.0005089292,0.001763206,0.00402622,0.009110464,0.001064425,0.007131675,0.01122241],"category_scores_gemma":[0.01503966,0.0002657206,0.0004868917,0.001712713,0.02848028,0.008591251,0.006572713,0.004453535,0.0005294613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003620309,"about_ca_system_score_gemma":0.003145315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898198,"about_ca_topic_score_gemma":0.002822697,"domain_scores_codex":[0.9925694,0.004521663,0.0002584568,0.0007304581,0.0009559141,0.0009641596],"domain_scores_gemma":[0.9888614,0.008081359,0.0008750492,0.001160125,0.0005968603,0.0004252366],"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":[0.000005880074,0.000009215204,0.0001115635,0.00000716152,0.000002992064,0.00002540675,0.0003947911,0.0001591096,0.00003408343,0.9974572,0.0002713128,0.001521314],"study_design_scores_gemma":[0.00000878774,0.000009494105,0.0003447087,0.00003826683,0.000003634608,0.00002856892,0.0006257871,0.0004922365,0.00009157866,0.9885287,0.00982179,0.000006529572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0864964,0.003272745,0.02027854,0.02374876,0.0002936829,0.00004062825,0.00005150135,0.00004241156,0.8657753],"genre_scores_gemma":[0.985271,0.000596879,0.001251745,0.001400828,0.0001375622,0.00004715143,0.00001387129,0.00001891494,0.01126215],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01122241,"threshold_uncertainty_score":0.04111791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256969957048933,"score_gpt":0.3363566161503947,"score_spread":0.3137869165799054,"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."}}