{"id":"W1917056660","doi":"10.1109/ccece.1995.526606","title":"COP: a simple way to integrate imperative programming and declarative programming","year":2002,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Programming language; Prolog; Computer science; Programmer; Fifth-generation programming language; Logic programming; Declarative programming; Procedural programming; Syntax; Semantics (computer science); Datalog; Programming paradigm; Inductive programming; Artificial intelligence","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":[0.002527539,0.0009823996,0.000864488,0.001023392,0.001431035,0.003433679,0.002103891,0.001514288,0.008389009],"category_scores_gemma":[0.006210232,0.00128719,0.001512108,0.0009804743,0.002169451,0.006324236,0.005077533,0.004104199,0.004135134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000566745,"about_ca_system_score_gemma":0.002024533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180034,"about_ca_topic_score_gemma":0.001207731,"domain_scores_codex":[0.9980111,0.0004539746,0.0002139736,0.0003087694,0.0007805821,0.0002315356],"domain_scores_gemma":[0.9974229,0.0008818168,0.0002337583,0.0006745603,0.0004714766,0.0003155545],"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":[0.0002184271,0.0001913801,0.001322991,0.001075148,0.0001507433,0.00093253,0.001763427,0.003511033,0.01295986,0.6434857,0.05189632,0.2824924],"study_design_scores_gemma":[0.0001414998,0.0002241402,0.0005796592,0.0003602022,0.0001282869,0.001958608,0.0003010048,0.03213575,0.01414534,0.2287203,0.7211565,0.0001486771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00125659,0.0002091205,0.9865136,0.0006657835,0.0003413696,0.0001723773,0.0000881464,0.005200732,0.005552198],"genre_scores_gemma":[0.02688932,0.0005489634,0.9594416,0.001332952,0.00027543,0.0004583761,0.0002918797,0.002784564,0.007976887],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008389009,"threshold_uncertainty_score":0.02806401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332084591620554,"score_gpt":0.2676581179354889,"score_spread":0.2343372720192833,"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."}}