{"id":"W2141376906","doi":"10.3233/mgs-2006-2305","title":"A system model for university course timetabling using mobile agents","year":2006,"lang":"en","type":"article","venue":"Multiagent and Grid Systems","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Course (navigation); Key (lock); Interface (matter); Mobile agent; Distributed computing; Computer security; Operating system; Engineering","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":[0.0008331886,0.0006699472,0.0008908202,0.0006013256,0.001234777,0.003214212,0.002849106,0.002117272,0.007338403],"category_scores_gemma":[0.001322479,0.0005246056,0.001044257,0.0009796442,0.0007891395,0.002648395,0.001476745,0.001611312,0.002053008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499125,"about_ca_system_score_gemma":0.002436368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009168115,"about_ca_topic_score_gemma":0.008567062,"domain_scores_codex":[0.9993425,0.0001816779,0.00005936037,0.0001550873,0.0001775722,0.00008376584],"domain_scores_gemma":[0.9994591,0.0001930699,0.00007245848,0.00006732458,0.000128195,0.00007988857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001256729,0.0001459624,0.0007744804,0.000266284,0.00007200384,0.0007941521,0.0005722565,0.6420568,0.0064603,0.3131928,0.005373314,0.03016591],"study_design_scores_gemma":[0.00007139395,0.00007794048,0.0001338217,0.00002609061,0.000038161,0.0001475245,0.00006067533,0.9608207,0.0009911662,0.02096047,0.01664031,0.00003176837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009710804,0.0003272622,0.9779798,0.0005896071,0.0001270117,0.0002571807,0.0003593328,0.001045315,0.009603684],"genre_scores_gemma":[0.531209,0.001284124,0.436295,0.0002903594,0.0002108626,0.002202184,0.001157708,0.0002304362,0.02712039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009168115,"threshold_uncertainty_score":0.02454942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351697852268315,"score_gpt":0.2554265256874403,"score_spread":0.2119095471647572,"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."}}