{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005585092,0.001240904,0.000738752,0.00110019,0.0006516932,0.001521477,0.001121027,0.0008801629,0.05311185],"category_scores_gemma":[0.001267278,0.0003917457,0.0006093813,0.002129832,0.0003179516,0.0009219465,0.001116628,0.00130925,0.02194753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706137,"about_ca_system_score_gemma":0.001145417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143287,"about_ca_topic_score_gemma":0.005135485,"domain_scores_codex":[0.9996711,0.00005339118,0.00001252622,0.00006012856,0.0001684637,0.00003439569],"domain_scores_gemma":[0.9994267,0.000110951,0.00002738165,0.0001736361,0.0002147001,0.000046656],"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":[0.0001533743,0.0002061329,0.0003146925,0.0002549808,0.00004475249,0.0001285846,0.00005428195,0.03733556,0.006165803,0.05057505,0.2008737,0.7038931],"study_design_scores_gemma":[0.00007208236,0.00006189722,0.0005616,0.0000797266,0.00005074511,0.000269938,0.00003911854,0.2250363,0.01809071,0.05763383,0.6980802,0.00002382844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01044837,0.003398952,0.4796705,0.001733442,0.001381727,0.0002714709,0.001507344,0.01523973,0.4863485],"genre_scores_gemma":[0.08431314,0.004403531,0.3673561,0.0006624929,0.000666943,0.0002896964,0.004699086,0.003018203,0.5345907],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05311185,"threshold_uncertainty_score":0.1776769,"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."}}