{"id":"W145435252","doi":"10.1007/978-3-642-19041-4_15","title":"Rule Testing with JRules","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Consistency (knowledge bases); Key (lock); Set (abstract data type); Suite; Business rule; Software engineering; Operator (biology); Isolation (microbiology); Software; Service (business); Data mining; Business process; Artificial intelligence; Programming language; Operating system; Engineering; Work in process","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001665764,0.0002190739,0.0003267209,0.0002150568,0.00009803033,0.0002580112,0.001017571,0.0001066448,0.01281922],"category_scores_gemma":[0.0004473812,0.0001271699,0.00006576785,0.00006015605,0.000142418,0.0002324753,0.0004879761,0.0001573773,0.01000574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430083,"about_ca_system_score_gemma":0.00004921151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240003,"about_ca_topic_score_gemma":0.0002273767,"domain_scores_codex":[0.9975317,0.00002175986,0.0004797315,0.0005914047,0.001197702,0.000177664],"domain_scores_gemma":[0.9976792,0.0006195845,0.0003148965,0.001062433,0.000233095,0.00009077367],"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":[0.000007000745,0.000007752838,0.00002370402,0.000005821638,0.00002438984,0.0000219616,0.00004118351,6.421246e-7,3.646697e-7,0.7755271,0.07131238,0.1530277],"study_design_scores_gemma":[0.00005104153,0.00004191684,0.00007522172,0.00003671121,0.00001692483,0.000003097761,0.00003835233,0.000004301072,0.000003629164,0.3830661,0.6165087,0.0001539951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007061732,0.00004992795,0.007703834,0.0002011027,0.0001347914,0.0001516828,0.0000484848,0.00008833253,0.9916148],"genre_scores_gemma":[0.0002730081,0.00001115178,0.01218456,0.0007083529,0.0000827082,0.000003532681,0.0000190371,0.00002114575,0.9866965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5451963,"threshold_uncertainty_score":0.9907651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4604020177868987,"score_gpt":0.3754587824837807,"score_spread":0.08494323530311798,"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."}}