{"id":"W4303986377","doi":"10.1111/itor.13188","title":"Preface to the Special Issue on Developments in Metaheuristics","year":2022,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Metaheuristic; Computer science; Operations research; Management science; Artificial intelligence; Engineering","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":[0.002504727,0.002097557,0.002552922,0.00358327,0.002032332,0.008815337,0.002157749,0.003096507,0.151603],"category_scores_gemma":[0.01395561,0.0006987053,0.001953164,0.003139638,0.0009358819,0.004653979,0.002577613,0.00781628,0.100227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343425,"about_ca_system_score_gemma":0.00277715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042319,"about_ca_topic_score_gemma":0.001558458,"domain_scores_codex":[0.997498,0.0002951114,0.0002396239,0.0004230827,0.001339678,0.0002045449],"domain_scores_gemma":[0.9872816,0.003305765,0.0006365016,0.0007742609,0.005666812,0.002335086],"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":[0.00001435381,0.00002805715,0.00003380228,0.0001785631,0.000006815027,0.00003097068,0.00002817453,0.0001031835,0.0001402352,0.001079645,0.9724171,0.02593908],"study_design_scores_gemma":[0.000006924928,0.00003449863,0.0001947791,0.0002713139,0.00000719242,0.0000984313,0.00003581838,0.0001406265,0.00007240391,0.001613852,0.9975138,0.00001032819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003352239,0.02155275,0.004496891,0.02833754,0.8927612,0.0002008421,0.0007046047,0.0006090967,0.05100187],"genre_scores_gemma":[0.002718468,0.02992017,0.003407324,0.01281521,0.7318282,0.0002672154,0.002170484,0.001408406,0.2154645],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.151603,"threshold_uncertainty_score":0.5071626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06975319769106123,"score_gpt":0.3805063015201194,"score_spread":0.3107531038290582,"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."}}