{"id":"W1532470617","doi":"10.1007/978-3-540-75444-2_22","title":"Parallel Genetic Algorithms for DVS Scheduling of Distributed Embedded Systems","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Parallel computing; Scheduling (production processes); Distributed computing; Mathematics; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002392246,0.000779864,0.001210905,0.0008676071,0.0002926462,0.0005877562,0.004468823,0.0005936237,0.000003584907],"category_scores_gemma":[0.000187564,0.0007398524,0.0003334319,0.0009266977,0.0005696979,0.0003106816,0.0009304286,0.0006593101,0.00001574455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171208,"about_ca_system_score_gemma":0.0007476989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004996411,"about_ca_topic_score_gemma":0.00001426216,"domain_scores_codex":[0.994063,0.00007266612,0.001492629,0.001883565,0.001321893,0.001166216],"domain_scores_gemma":[0.994858,0.001203313,0.0009772652,0.001830401,0.0008384312,0.0002926312],"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":[0.00001796859,0.00005456568,0.00005381558,0.000341607,0.00005106782,0.00006229764,0.0004110264,0.8458645,0.00006247395,0.01986123,0.00004200628,0.1331775],"study_design_scores_gemma":[0.0006260693,0.0002526528,0.00006873434,0.0009514363,0.00001990644,0.0001115908,6.93142e-7,0.9761298,0.0001818938,0.01890099,0.001955583,0.0008006443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008826297,0.001903581,0.9917737,0.00008778852,0.004001021,0.001213928,0.0001166414,0.0002331858,0.0005819555],"genre_scores_gemma":[0.188587,0.00002662091,0.8099844,0.0001469864,0.0009175765,0.00002841307,0.00008096886,0.00005786189,0.0001701591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1884987,"threshold_uncertainty_score":0.9995053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358009101226591,"score_gpt":0.2809582964222402,"score_spread":0.2451573862995811,"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."}}