{"id":"W4409364628","doi":"10.1609/aaai.v39i14.33659","title":"Checking Consistency of CP-Theory Preferences in Polynomial Time","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Science Foundation","keywords":"Consistency (knowledge bases); Mathematics; Polynomial; Time consistency; Mathematical economics; Computer science; Discrete mathematics; Economics; Mathematical analysis; Actuarial 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511847,0.0001858981,0.0003380396,0.0003145513,0.0001031324,0.0001029248,0.002389827,0.000116979,0.0000485531],"category_scores_gemma":[0.001288863,0.0001493515,0.000101472,0.001152037,0.0004662668,0.0004293552,0.0004423061,0.0002834089,0.00002703687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005908358,"about_ca_system_score_gemma":0.0002056856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000413809,"about_ca_topic_score_gemma":0.000005284176,"domain_scores_codex":[0.9980717,0.00006768018,0.0008191539,0.0004273569,0.0003413914,0.0002727516],"domain_scores_gemma":[0.9983975,0.0002022661,0.0005102959,0.0003746826,0.0004772337,0.00003800027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007391188,0.00009988796,0.0003375066,0.00005494823,0.000009541981,8.657809e-8,0.0007567379,0.00001773846,0.05944065,0.8209092,0.0000288163,0.1182709],"study_design_scores_gemma":[0.00002840018,0.0001081943,0.001073854,0.0004357366,0.00000843905,9.549786e-7,0.0003140399,0.0198569,0.6802426,0.2977774,0.00002929778,0.0001241264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7473642,0.0001449128,0.08800115,0.00192395,0.001270556,0.00112831,0.00000809065,0.0001598123,0.159999],"genre_scores_gemma":[0.9776472,0.00002194555,0.02189133,0.00007283431,0.000017101,0.00001964508,2.216202e-7,0.000005781173,0.0003239154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.620802,"threshold_uncertainty_score":0.6090378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639208776143401,"score_gpt":0.3203158533739308,"score_spread":0.2563949757595907,"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."}}