{"id":"W1529317038","doi":"10.1007/bfb0024183","title":"Elementary logic programs","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université de Moncton","funders":"","keywords":"Computer science; Program transformation; Elementary function; Simple (philosophy); Set (abstract data type); Transformation (genetics); Programming language; Resolution (logic); Logic program; Algebraic semantics; Elementary proof; Arrow; Algebraic number; Binary number; Theoretical computer science; Algebra over a field; Semantics (computer science); Arithmetic; Mathematics; Discrete mathematics; Logic programming; Pure 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003772515,0.0006755012,0.0005060462,0.000909893,0.0009308622,0.003408549,0.001002458,0.0006332491,0.05166205],"category_scores_gemma":[0.001286938,0.00050814,0.0005704775,0.001118049,0.001278459,0.004175902,0.001383341,0.002376546,0.01545292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009904098,"about_ca_system_score_gemma":0.0007548134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724366,"about_ca_topic_score_gemma":0.0008855893,"domain_scores_codex":[0.9996622,0.00004798727,0.00001988083,0.00008857705,0.0001395245,0.00004184147],"domain_scores_gemma":[0.9996612,0.0001169325,0.00001506408,0.00007751326,0.0001011526,0.0000281905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745819,0.00002657186,0.00007936343,0.00008836583,0.000004929487,0.0000289884,0.000163518,0.0002713733,0.0006214393,0.9249514,0.01800092,0.05574565],"study_design_scores_gemma":[0.00001381504,0.0000122079,0.0001686145,0.00006220894,0.0000117426,0.0001384275,0.0000631265,0.001176718,0.00155872,0.7245542,0.2722332,0.000006970112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006636164,0.002087843,0.2244303,0.001397304,0.0003121412,0.0001224802,0.001450422,0.00194218,0.7616212],"genre_scores_gemma":[0.2253678,0.005271395,0.1555811,0.001290172,0.0005485481,0.0003209575,0.005234974,0.001158807,0.6052262],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05166205,"threshold_uncertainty_score":0.1728268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676493108707163,"score_gpt":0.2527745699862982,"score_spread":0.2260096388992266,"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."}}