{"meta":{"query_hash":"4040d45b8928","filters":{"venue":"International Journal of Applied Evolutionary Computation"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/4040d45b8928","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Applied+Evolutionary+Computation"},"results":[{"id":"W835739657","doi":"10.4018/ijaec.2015010101","title":"A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant","year":2015,"lang":"en","type":"article","venue":"International Journal of Applied Evolutionary Computation","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metaheuristic; Pareto principle; Logistic map; Computer science; Mathematical optimization; Chaotic; Tabu search; Heuristic; Multi-objective optimization; Parallel metaheuristic; Context (archaeology); Mathematics; Artificial intelligence; Meta-optimization","score_opus":0.043693870595947,"score_gpt":0.291443186373783,"score_spread":0.24774931577783602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W835739657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07613018,0.0007070403,0.91384417,0.00025335967,0.00011699518,0.00017766931,0.000067812034,0.0008665731,0.00783619],"genre_scores_gemma":[0.7475503,0.00030151563,0.24615277,0.00013849873,0.000047414153,0.00039673113,0.00023484863,0.00010637503,0.005071632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996087,0.0001303483,0.000029176228,0.00006146299,0.00011518125,0.000055110097],"domain_scores_gemma":[0.99955434,0.0002108683,0.000050661944,0.000028863029,0.00012676018,0.000028515367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067734334,0.00080617925,0.00088108674,0.00087787636,0.0003809965,0.0007259837,0.0011750612,0.0008224789,0.002432287],"category_scores_gemma":[0.0017108383,0.0002887149,0.0005984614,0.0007214036,0.00041950232,0.0006371138,0.0006941143,0.000743559,0.00048654078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001372484,0.00009650628,0.0006984941,0.00009539013,0.000049786166,0.00010742178,0.000063182655,0.8867004,0.004699151,0.004802239,0.0013998909,0.10115027],"study_design_scores_gemma":[0.000017090251,0.00005428692,0.0000787304,0.000003950744,0.0000058569067,0.000017779525,0.0000065881873,0.99815434,0.0006448726,0.00052990887,0.00048188082,0.000004713838],"about_ca_topic_score_codex":0.0030196458,"about_ca_topic_score_gemma":0.0020455595,"teacher_disagreement_score":0.0030196458,"about_ca_system_score_codex":0.0004993791,"about_ca_system_score_gemma":0.0011195004,"threshold_uncertainty_score":0.008136809},"labels":[],"label_agreement":null}]}