{"id":"W2203621808","doi":"10.1007/3-540-35828-5_17","title":"Towards Monitored Data Consistency and Business Processing Based on Declarative Software Agents1","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Consistency (knowledge bases); Database; Business process; Software engineering; Distributed computing","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":[0.01869115,0.0007975544,0.001463736,0.001347519,0.001594388,0.007756744,0.005880974,0.002574914,0.002033771],"category_scores_gemma":[0.05010745,0.002210944,0.001686454,0.001762896,0.004650502,0.01259949,0.007913024,0.007361699,0.0007157858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461284,"about_ca_system_score_gemma":0.003144707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003283111,"about_ca_topic_score_gemma":0.002505657,"domain_scores_codex":[0.9865971,0.005400856,0.001168854,0.001636753,0.004382731,0.0008138319],"domain_scores_gemma":[0.9555685,0.02122996,0.002760295,0.01524442,0.00448383,0.0007129644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007608137,0.0002753579,0.003774562,0.0003388428,0.0001885329,0.0005070515,0.002326321,0.06434285,0.01318474,0.7791187,0.004815342,0.130367],"study_design_scores_gemma":[0.0001192127,0.0001087537,0.0004609952,0.00009401751,0.0001351828,0.0002504647,0.0002674487,0.5509996,0.02641135,0.4072489,0.01384147,0.00006261709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008328528,0.0001704728,0.9882953,0.0003948011,0.00004285299,0.00006916857,0.00003220228,0.001151344,0.001515356],"genre_scores_gemma":[0.229415,0.0003227659,0.7663275,0.000352052,0.0001194125,0.0001699351,0.0002914355,0.0006306815,0.002371177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01869115,"threshold_uncertainty_score":0.09884942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0540937834612881,"score_gpt":0.2821353389407649,"score_spread":0.2280415554794768,"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."}}