{"id":"W2611958536","doi":"","title":"The OO jDrew Reference Implementation of RuleML","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research and Productivity Council; University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Programming language; XML; Interpreter; RELAX NG; Modular programming; Modular design; Schema (genetic algorithms); Java; Database; XHTML; Markup language; Information retrieval; World Wide Web; Document type definition; Document Structure Description","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007788046,0.0005803906,0.0008103908,0.001792464,0.0008241597,0.006803951,0.004683603,0.001992616,0.0116549],"category_scores_gemma":[0.01935023,0.001181061,0.001362559,0.001388372,0.001479676,0.006208652,0.003753254,0.003139293,0.0067105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155616,"about_ca_system_score_gemma":0.002972927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005875635,"about_ca_topic_score_gemma":0.005735601,"domain_scores_codex":[0.9914895,0.001844326,0.001179271,0.00127325,0.003767873,0.0004457124],"domain_scores_gemma":[0.9912952,0.00248078,0.0004110842,0.003109554,0.002478032,0.0002252946],"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":[0.000313075,0.0003269417,0.001399972,0.0008494962,0.00009738287,0.0007310029,0.002639178,0.008500303,0.01841371,0.469761,0.04040224,0.4565658],"study_design_scores_gemma":[0.0001134207,0.00008694753,0.0005292521,0.0003594477,0.00007247204,0.0005834446,0.0002314426,0.05950306,0.03460709,0.07067848,0.8330925,0.0001424791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002557523,0.0001752295,0.9538757,0.0003403112,0.0001974202,0.0001928429,0.0005347933,0.023715,0.01841123],"genre_scores_gemma":[0.06189169,0.0006047977,0.8942318,0.0009854985,0.0001899961,0.0005018125,0.004856167,0.01297679,0.02376148],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0116549,"threshold_uncertainty_score":0.04118764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156266182243823,"score_gpt":0.2938525086219592,"score_spread":0.252289846799521,"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."}}