{"id":"W4405250161","doi":"10.57931/2477209","title":"MSD CoP Webinar: Accounting for distributive justice in model-based decision support","year":2024,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributive justice; Distributive property; Accounting; Computer science; Operations research; Economic Justice; Business; Political science; Engineering; Mathematics; Law","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":[0.05588287,0.001781712,0.001781912,0.004081065,0.002102243,0.01381761,0.004320362,0.004433325,0.1555249],"category_scores_gemma":[0.1734129,0.001800901,0.001717335,0.004233651,0.001792057,0.01667803,0.01371962,0.00524075,0.04632149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003625812,"about_ca_system_score_gemma":0.007630488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005760165,"about_ca_topic_score_gemma":0.00562142,"domain_scores_codex":[0.9697056,0.02009862,0.001617773,0.001847226,0.006027191,0.0007036289],"domain_scores_gemma":[0.8382871,0.1031056,0.003759231,0.03115847,0.01956342,0.004126248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003712522,0.0005579527,0.002271815,0.001340222,0.0001454259,0.0002162989,0.00235818,0.03236832,0.0008313638,0.1176127,0.5245355,0.317391],"study_design_scores_gemma":[0.0002716758,0.0001281461,0.001192824,0.001632333,0.00005010248,0.0001614303,0.0009176179,0.2454532,0.001870889,0.2159851,0.5322068,0.000129781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.008985882,0.00190682,0.7287199,0.03660193,0.002371762,0.001920036,0.01339815,0.053116,0.1529796],"genre_scores_gemma":[0.166028,0.002934346,0.7389542,0.002895426,0.001468349,0.003869663,0.02068909,0.02279515,0.04036568],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1555249,"threshold_uncertainty_score":0.5202826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830453049740795,"score_gpt":0.26564667262914,"score_spread":0.2473421421317321,"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."}}