{"id":"W2134909806","doi":"10.1007/3-540-44629-x_6","title":"Examination Timetables and Tabu Search with Longer-Term Memory","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Tabu search; Computer science; Term (time); Scheduling (production processes); Relaxation (psychology); Algorithm; Mathematical optimization; Mathematics","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":[0.001774636,0.00111749,0.001398091,0.001371115,0.001036728,0.002674421,0.004002804,0.001285748,0.05223218],"category_scores_gemma":[0.008536631,0.0009867154,0.001314729,0.005417652,0.000959117,0.00592696,0.001571051,0.002475791,0.005640392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506884,"about_ca_system_score_gemma":0.002125219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00868443,"about_ca_topic_score_gemma":0.01087546,"domain_scores_codex":[0.9987054,0.000521808,0.00007868947,0.0002205035,0.0003065928,0.0001670138],"domain_scores_gemma":[0.9965959,0.002198341,0.0001758114,0.0006710455,0.0002540677,0.0001047638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000772569,0.0002574107,0.0005091873,0.0005593593,0.00008629375,0.00009142007,0.0002158739,0.1600746,0.001888421,0.2008454,0.03635309,0.5983464],"study_design_scores_gemma":[0.0002195158,0.0001995159,0.0004981698,0.0001272002,0.00008437936,0.0001323948,0.00011654,0.500859,0.002517215,0.4599751,0.03521133,0.00005959849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01510826,0.004459606,0.9497166,0.0005547897,0.0004822131,0.0001518067,0.0009475104,0.003573625,0.02500557],"genre_scores_gemma":[0.1241037,0.001877201,0.8310269,0.0002260833,0.000279296,0.0004054292,0.002100053,0.001357852,0.03862354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05223218,"threshold_uncertainty_score":0.1747341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07418487081622242,"score_gpt":0.330574517201336,"score_spread":0.2563896463851135,"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."}}