{"id":"W2043785549","doi":"10.1145/1160633.1160901","title":"An agent based general solution model for the course timetabling problem","year":2006,"lang":"en","type":"article","venue":"","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Generality; Computer science; Modularity (biology); Course (navigation); Flexibility (engineering); Scalability; Constraint (computer-aided design); Mathematical optimization; Distributed computing; Artificial intelligence; Mathematics; 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":[0.000946685,0.0006323511,0.000588253,0.0005116257,0.0006336971,0.001242974,0.00197766,0.001355294,0.004919744],"category_scores_gemma":[0.001452927,0.0003631732,0.001097226,0.0008759275,0.0007682248,0.001977253,0.001103493,0.001323155,0.0007378538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238032,"about_ca_system_score_gemma":0.00214174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00662326,"about_ca_topic_score_gemma":0.008589886,"domain_scores_codex":[0.9993947,0.0001850464,0.00003213634,0.0001472416,0.0001744724,0.00006652046],"domain_scores_gemma":[0.9996592,0.0001393082,0.00004961179,0.00004724054,0.00007609734,0.00002854696],"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":[0.00004860928,0.00007837157,0.0003621515,0.0001594077,0.00004030246,0.0001551116,0.000204018,0.6059784,0.003046954,0.3455288,0.003499032,0.04089876],"study_design_scores_gemma":[0.00003168315,0.00004323785,0.00008880718,0.00001545784,0.00001876742,0.00006238071,0.00003376033,0.9317492,0.0005935223,0.05326275,0.0140876,0.00001289009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004135414,0.0000820455,0.9912305,0.000220719,0.00002652489,0.00006603975,0.00005908405,0.0001501362,0.004029484],"genre_scores_gemma":[0.1439289,0.0004757387,0.8441411,0.0001668738,0.00005400502,0.0005173369,0.0003853934,0.00009476207,0.01023584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00662326,"threshold_uncertainty_score":0.01645815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569793825081884,"score_gpt":0.4030798934952615,"score_spread":0.2461005109870731,"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."}}