{"id":"W2170431068","doi":"10.1613/jair.4031","title":"Horn Clause Contraction Functions","year":2013,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Horn clause; Contraction (grammar); Propositional calculus; French horn; Remainder; Mathematics; Classical logic; Forgetting; Computer science; Algorithm; Discrete mathematics; Artificial intelligence; Logic programming; Arithmetic; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003795204,0.0008528864,0.0006443549,0.001780863,0.001080591,0.002162583,0.002206078,0.001267418,0.01846997],"category_scores_gemma":[0.009777119,0.0004320465,0.001563693,0.001773007,0.002232959,0.006637732,0.003106293,0.00306254,0.003490839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681715,"about_ca_system_score_gemma":0.0009964553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008939455,"about_ca_topic_score_gemma":0.0007607061,"domain_scores_codex":[0.9976339,0.0006624529,0.0001463536,0.0004147862,0.000842114,0.0003003239],"domain_scores_gemma":[0.9960884,0.002247558,0.0001800933,0.0006634147,0.0006663525,0.0001541401],"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":[0.00005535772,0.00003876847,0.0002593027,0.00008831926,0.00001363564,0.0001027437,0.0002399377,0.002269886,0.002227172,0.9337364,0.003762792,0.05720566],"study_design_scores_gemma":[0.00003917905,0.00007329864,0.00039805,0.00005344875,0.00003075075,0.0003766158,0.0001980834,0.04889252,0.006269176,0.9064236,0.0372116,0.00003379639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03080073,0.0006821462,0.8940179,0.001371034,0.0002305591,0.0003411712,0.0006162912,0.00104365,0.07089642],"genre_scores_gemma":[0.4984809,0.001120862,0.4176856,0.001692504,0.0004769726,0.0009956921,0.002267016,0.0009410029,0.07633941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01846997,"threshold_uncertainty_score":0.06178814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545227878795776,"score_gpt":0.3942431817833369,"score_spread":0.2397203939037593,"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."}}