{"id":"W1591905644","doi":"10.1002/0471739383.ch19","title":"Parallel Metaheuristics Applications","year":2005,"lang":"en","type":"other","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Metaheuristic; Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001563221,0.0001216073,0.0001174976,0.00009106893,0.00001040636,0.00001558191,0.00009562312,0.0001451397,0.009735911],"category_scores_gemma":[0.000002320744,0.0001182306,0.00003185157,0.0000814464,0.00001006419,0.000006582239,0.000006557723,0.00009042137,0.001579227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001112315,"about_ca_system_score_gemma":0.000005728019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003992097,"about_ca_topic_score_gemma":0.00001038674,"domain_scores_codex":[0.9996504,0.000002577795,0.00009237275,0.00009394405,0.00006680018,0.00009392798],"domain_scores_gemma":[0.9997206,0.000007976752,0.00001628079,0.0002014209,0.000008552477,0.00004517038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[1.045862e-7,0.000009778944,8.421686e-7,0.00003131375,0.0000711814,4.154564e-7,0.0000048917,0.08184877,4.428057e-7,0.002101549,0.9007036,0.01522711],"study_design_scores_gemma":[0.00005646317,7.790547e-7,4.711553e-7,0.000006001259,0.00001966923,7.809612e-7,0.000002933739,0.07881436,0.000003932827,0.00001268579,0.9209451,0.0001368359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.212732e-9,0.0009738114,0.4846382,0.000009519114,0.00008047539,0.00006902945,0.00001022421,0.001034515,0.5131842],"genre_scores_gemma":[0.000001199453,0.0004866291,0.4398695,0.00003015038,0.0004084454,0.00004272079,0.00004564915,0.000236695,0.5588791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04569482,"threshold_uncertainty_score":0.9991981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009009833178774783,"score_gpt":0.2248822518553337,"score_spread":0.2158724186765589,"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."}}