{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000130415,0.00003861031,0.00004861652,0.00001410994,0.0002367531,0.00006069138,0.00008190726,0.000008544239,0.007344544],"category_scores_gemma":[0.000005461639,0.0000254111,0.00002155387,0.00001126784,0.00008533008,0.0000851517,0.00001883204,0.00004037267,0.00008773307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324103,"about_ca_system_score_gemma":0.00002114022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456734,"about_ca_topic_score_gemma":0.01775983,"domain_scores_codex":[0.9995983,0.00002228549,0.0001318099,0.00005526326,0.0001016977,0.00009067329],"domain_scores_gemma":[0.9997377,0.00002806319,0.00005397369,0.00008901643,0.00007533181,0.00001595296],"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":[0.000003701724,0.00001581741,0.0003993884,0.000004405553,0.0000129614,1.474717e-7,0.003521143,3.202556e-7,0.002591917,0.9124433,0.01785787,0.06314898],"study_design_scores_gemma":[0.0001349776,0.00003822216,0.003733713,0.000003771336,0.000007138814,1.728625e-7,0.001924,0.00002217065,0.004116456,0.01763273,0.9723378,0.00004882297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6551597,0.00003201501,0.000002836448,0.001688003,0.0001120737,0.0000810077,0.00002480254,0.00001167488,0.3428879],"genre_scores_gemma":[0.993391,0.00004940598,0.00002887406,0.0000927278,0.0001797758,0.000006164104,0.000004206023,0.000003273356,0.006244523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9544799,"threshold_uncertainty_score":0.9935629,"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."}}