{"id":"W2118078906","doi":"10.1142/s0218213001000623","title":"EFFICIENT DEFEASIBLE REASONING SYSTEMS","year":2001,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence Tools","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Griffith University","keywords":"Defeasible estate; Forward chaining; Computer science; Non-monotonic logic; Defeasible reasoning; Backward chaining; Chaining; Logic programming; Simplicity; Description logic; Monotonic function; Theoretical computer science; Artificial intelligence; Programming language; Inference engine; Expert system; Mathematics","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":[0.001045075,0.0001744439,0.0002635465,0.0003475375,0.000108622,0.0009395748,0.002073451,0.00008017077,0.00006235111],"category_scores_gemma":[0.0007150588,0.0001457355,0.0002165996,0.0003912793,0.00006116352,0.0005469344,0.0001573711,0.0002802944,0.0002361458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888372,"about_ca_system_score_gemma":0.0001892328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002616537,"about_ca_topic_score_gemma":0.00000659041,"domain_scores_codex":[0.9975277,0.0001014495,0.000890752,0.0002535987,0.0009100749,0.0003164783],"domain_scores_gemma":[0.9973928,0.0002430402,0.0005873851,0.0002657195,0.001331938,0.0001790581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009791301,0.0003242306,0.0004605559,0.000003369314,0.00009355223,0.0005648108,0.001027496,0.06227547,0.001348418,0.5991895,0.0003911726,0.3342235],"study_design_scores_gemma":[0.0002492578,0.0007747686,0.001611205,0.0005510321,0.00004023022,0.004365072,0.001190718,0.903924,0.01579116,0.05099833,0.01976084,0.0007433296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07306461,0.000687519,0.9108782,0.000852841,0.004700581,0.0001089506,0.000001753086,0.00006094747,0.009644533],"genre_scores_gemma":[0.9897953,0.0001016932,0.008661092,0.0001438382,0.001082286,0.000002689384,9.785592e-7,0.000008771995,0.0002033093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9167307,"threshold_uncertainty_score":0.9060342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06739144958469796,"score_gpt":0.3207842718029209,"score_spread":0.2533928222182229,"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."}}