{"id":"W2608497068","doi":"10.1090/crmp/033/02","title":"Overview and software guide of evolutionary algorithms; A case study in quantum control","year":2003,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Quantum control; Control (management); Software; Quantum; Algorithm; Software engineering; Theoretical computer science; Artificial intelligence; Programming language; Physics; Quantum mechanics","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":[0.001119995,0.0009163482,0.0006847921,0.001646878,0.0003691461,0.002759248,0.00179613,0.001905546,0.03002518],"category_scores_gemma":[0.004218121,0.0007827202,0.0004869416,0.002512736,0.0006264067,0.002121164,0.0008262159,0.001999314,0.01532336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451275,"about_ca_system_score_gemma":0.0009559018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415727,"about_ca_topic_score_gemma":0.002858424,"domain_scores_codex":[0.9996314,0.00007719543,0.00004538206,0.00005496312,0.0001699358,0.00002103534],"domain_scores_gemma":[0.9987357,0.0008166409,0.00005095693,0.000139667,0.0002062916,0.00005063315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005706814,0.0001216355,0.0004431425,0.00128645,0.00004732455,0.0002351862,0.000349122,0.03848647,0.003198633,0.1905046,0.1563885,0.6088817],"study_design_scores_gemma":[0.00004570755,0.00005198263,0.0004870012,0.0004542178,0.00002783993,0.0006102722,0.00009461067,0.1142205,0.002861497,0.1453653,0.7357229,0.00005812597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001038099,0.008725167,0.9412094,0.001102641,0.0002292254,0.0001575667,0.0017235,0.01179901,0.03401538],"genre_scores_gemma":[0.01406506,0.009657562,0.9378248,0.00047576,0.0001844508,0.0005191262,0.001903177,0.003224794,0.03214534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03002518,"threshold_uncertainty_score":0.1004443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517615417120211,"score_gpt":0.2630222211594529,"score_spread":0.2378460669882508,"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."}}