{"id":"W4394897727","doi":"10.2139/ssrn.4798621","title":"Incentivization in Centrally Managed Systems: Inconsistencies Resolution","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; York University; Western University","funders":"","keywords":"Resolution (logic); Computer science; Process engineering; Engineering; Artificial intelligence","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","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02761823,0.0004150129,0.0007837326,0.002512444,0.0003056924,0.001847158,0.0018131,0.0004332757,0.00002598167],"category_scores_gemma":[0.002528047,0.0003364795,0.0004743539,0.002403025,0.000150464,0.0002856413,0.001112895,0.007353019,0.0003123947],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004020806,"about_ca_system_score_gemma":0.007044483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004917521,"about_ca_topic_score_gemma":0.006080159,"domain_scores_codex":[0.9897197,0.001554835,0.002108349,0.001100283,0.002811047,0.00270577],"domain_scores_gemma":[0.9967605,0.0004700574,0.001135145,0.00089219,0.0006298285,0.0001123172],"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":[0.0001103551,0.0002886537,0.007777208,0.0001491906,0.0005820538,0.000156202,0.001645712,0.4122957,0.0001741816,0.55523,0.001997059,0.01959376],"study_design_scores_gemma":[0.0002724998,0.00006472883,0.001447907,0.00061043,0.0001711405,0.0002104648,0.005415685,0.1355705,0.000006933987,0.8537624,0.002037155,0.0004301528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904188,0.09667015,0.1771374,0.01025975,0.01127457,0.001505467,0.00004869598,0.0003427809,0.0123423],"genre_scores_gemma":[0.9914501,0.003597941,0.0001210445,0.00005085798,0.0003780559,0.00001356715,0.00001617214,0.00003932101,0.004332888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3010313,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855899134247386,"score_gpt":0.3288737863335757,"score_spread":0.2903147949911018,"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."}}