{"id":"W1976639815","doi":"10.1016/s0004-3702(00)00049-7","title":"Expressing preferences in default logic","year":2000,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Default logic; Default; Default rule; Non-monotonic logic; Preference; Computer science; Context (archaeology); Mathematical economics; Representation (politics); Artificial intelligence; Mathematics; Economics; Multimodal logic; Autoepistemic logic; Microeconomics; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003219276,0.0001568215,0.0001710023,0.00009682329,0.0001389558,0.0002551609,0.001022363,0.00008657289,0.0005805079],"category_scores_gemma":[0.0001003944,0.0001333566,0.0000559804,0.0005729496,0.0001062139,0.0005145587,0.0001101024,0.0001827312,0.001445415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436736,"about_ca_system_score_gemma":0.00006252006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033064,"about_ca_topic_score_gemma":0.0003653979,"domain_scores_codex":[0.9984263,0.0001009797,0.0003626503,0.0004857669,0.0002050213,0.0004193425],"domain_scores_gemma":[0.9992387,0.0001474462,0.00005543124,0.0004156879,0.00005308149,0.00008960322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009724455,0.0001263467,0.0006699209,0.00000509692,0.000002683618,0.00002654413,0.002608533,0.0009339082,0.0006246011,0.1793204,0.00007443935,0.8155978],"study_design_scores_gemma":[0.00003931339,0.000157358,0.002436547,0.00009264892,0.000004072288,0.00001905373,0.000325888,0.1218396,0.06007349,0.811586,0.002902733,0.000523348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3709047,0.0008669365,0.5014852,0.000541523,0.0006575129,0.0002779995,0.000001223543,0.0003795906,0.1248853],"genre_scores_gemma":[0.9914672,0.00006974011,0.007690926,0.0001854118,0.00009370198,0.00001686817,8.9626e-7,0.000005795691,0.0004694257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8150744,"threshold_uncertainty_score":0.9993321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07587255919728449,"score_gpt":0.3066760791920676,"score_spread":0.2308035199947832,"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."}}