{"id":"W2058046828","doi":"10.4236/jsea.2012.53017","title":"Optimization in Computer Engineering—Theory and Applications: Book Review of Chapter 8—Applying Graph Coloring to Frequency Assignment","year":2012,"lang":"en","type":"article","venue":"Journal of Software Engineering and Applications","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Frequency assignment; Computer science; GRASP; Graph coloring; Simple (philosophy); Theoretical computer science; Graph; Algorithm; Software engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003586173,0.0001407274,0.0002463948,0.0002586892,0.0000274111,0.00001424922,0.00008233844,0.00004869984,0.0000116388],"category_scores_gemma":[0.00003342118,0.0001414372,0.00004030219,0.0002246294,0.00001299354,0.0001989422,0.00002226004,0.0001486214,0.000001183125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004433102,"about_ca_system_score_gemma":0.000006714845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000149076,"about_ca_topic_score_gemma":6.034674e-8,"domain_scores_codex":[0.9992381,0.000007409652,0.0004119598,0.00005090974,0.0001069783,0.0001846091],"domain_scores_gemma":[0.999448,0.0001536196,0.00008003318,0.0001152545,0.00005193379,0.0001511539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004325907,0.00005179577,0.00176064,0.003360802,0.0000843068,4.4167e-7,0.0007983148,0.968274,0.001630008,0.007020501,0.0002510242,0.01676387],"study_design_scores_gemma":[0.004325143,0.0009206102,0.06394964,0.04399555,0.00123374,0.00122551,0.0007702477,0.08220217,0.01301466,0.001039449,0.7818595,0.005463841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003382954,0.06392487,0.9320894,0.00003399831,0.00006331487,0.0004239461,0.000007705839,0.00005792131,0.00001587471],"genre_scores_gemma":[0.5798844,0.1063732,0.3089146,0.001017339,0.001773099,0.001752193,0.00002275907,0.0002203143,0.00004200904],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8860718,"threshold_uncertainty_score":0.5767643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006823634488542013,"score_gpt":0.2211029697686273,"score_spread":0.2142793352800853,"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."}}