{"id":"W4388185021","doi":"10.48550/arxiv.2310.20673","title":"Balancing Act: Constraining Disparate Impact in Sparse Models","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Disparate impact; Computer science; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003798531,0.001497282,0.001622872,0.0009585703,0.0009573669,0.001743112,0.002587024,0.002347825,0.002336212],"category_scores_gemma":[0.02014107,0.0009598626,0.0009895712,0.0009829754,0.001972075,0.003650656,0.005141072,0.003190349,0.000471374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079131,"about_ca_system_score_gemma":0.001515922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297626,"about_ca_topic_score_gemma":0.004936816,"domain_scores_codex":[0.9973515,0.0009792055,0.0001230042,0.0004611239,0.0008193288,0.0002658143],"domain_scores_gemma":[0.9927599,0.004987658,0.0005627844,0.0009864682,0.0004640773,0.0002391918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001886139,0.0001449107,0.002487457,0.0001112579,0.00007350872,0.0002325251,0.0002771704,0.8795595,0.005169886,0.03598266,0.002454066,0.07331841],"study_design_scores_gemma":[0.00001049632,0.0000447319,0.0001704549,0.00001321632,0.0000113505,0.00003506065,0.0000252117,0.9798723,0.001156827,0.01815621,0.0004985723,0.000005571173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04531946,0.0001668022,0.9515379,0.0004626604,0.00002472277,0.00005936919,0.0000807689,0.000396841,0.001951489],"genre_scores_gemma":[0.7370973,0.0002201468,0.2577451,0.0006768156,0.00009935464,0.0003065678,0.0004537416,0.0004163841,0.002984529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003798531,"threshold_uncertainty_score":0.02008879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282157427507822,"score_gpt":0.2201341811432161,"score_spread":0.09191843839243397,"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."}}