{"meta":{"query_hash":"8f4901d4862d","filters":{"venue":"MENDEL"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/8f4901d4862d","api":"https://metacan.xera.ac/api/v1/cohort?venue=MENDEL"},"results":[{"id":"W2942631528","doi":"10.13164/mendel.2018.1.017","title":"The Effects of CMA-ES Style Selection and Restart Criteria on DE","year":2018,"lang":"en","type":"article","venue":"MENDEL","topic":"Evolutionary Algorithms and Applications","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 Guelph","funders":"","keywords":"Selection (genetic algorithm); Population; Set (abstract data type); Operator (biology); Differential evolution; Function (biology); Computer science; Mathematics; Artificial intelligence; Evolutionary biology; Sociology; Biology; Demography","score_opus":0.008410064329425423,"score_gpt":0.26269854920294256,"score_spread":0.25428848487351713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942631528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63527435,0.00018520263,0.3598123,0.0024197083,0.00024144688,0.00019849982,0.0000016776902,0.0000771795,0.0017896551],"genre_scores_gemma":[0.9855957,0.000027104239,0.013895826,0.00008767058,0.000078713565,0.000019414034,2.6982642e-7,0.0000020765683,0.0002932254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967295,0.000028661329,0.00005315191,0.00009890336,0.000062992935,0.000083368686],"domain_scores_gemma":[0.99967456,0.00011145093,0.00002276667,0.00013794842,0.000035230245,0.000018069673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120691715,0.00003317188,0.00003122838,0.000015585607,0.00021081821,0.000026893522,0.00012497976,0.00001461877,0.0000017069202],"category_scores_gemma":[0.000021105256,0.000023715933,0.000008698784,0.000097266064,0.000042691667,0.0000647442,0.00003968535,0.000029638371,0.00000596974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018809475,0.00018187451,0.0006772457,0.00003923281,0.000025154344,0.0000012999353,0.0017637685,0.000015079032,0.09101127,0.80054796,0.027414534,0.07830378],"study_design_scores_gemma":[0.000708175,0.0017664854,0.11038184,0.0000755732,0.000015206586,0.00003885616,0.000086902444,0.57970816,0.13718536,0.1002883,0.0694724,0.00027271127],"about_ca_topic_score_codex":0.000015678728,"about_ca_topic_score_gemma":0.000010687464,"teacher_disagreement_score":0.7002597,"about_ca_system_score_codex":0.000012508729,"about_ca_system_score_gemma":0.00001751617,"threshold_uncertainty_score":0.16214645},"labels":[],"label_agreement":null},{"id":"W2943484134","doi":"10.13164/mendel.2018.1.001","title":"Increasing Population (μ + λ)-CMA-ES with Centre and Elitism (IPOP!+)","year":2018,"lang":"en","type":"article","venue":"MENDEL","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"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 Guelph","funders":"","keywords":"Elitism; Population; Operator (biology); Selection (genetic algorithm); Mathematics; Computer science; Artificial intelligence; Sociology; Biology; Political science; Genetics; Demography","score_opus":0.014122309049467126,"score_gpt":0.25796643456351354,"score_spread":0.2438441255140464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943484134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08253107,0.00008256798,0.9118764,0.0012598342,0.00013414542,0.00017743591,0.0000029786338,0.00013809442,0.003797477],"genre_scores_gemma":[0.63962066,0.0000148029585,0.35954025,0.00010378261,0.00008869199,0.0000026569055,0.000005812148,0.000008269877,0.0006150608],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988914,0.00012710594,0.00013157072,0.00029146543,0.00033734724,0.00022111299],"domain_scores_gemma":[0.99932337,0.000073544295,0.00004903208,0.00029298328,0.00014871117,0.00011235531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873438,0.00008769862,0.00009876814,0.00010074399,0.00016629956,0.00019982444,0.00022437582,0.00003178332,0.00006248586],"category_scores_gemma":[0.00011309206,0.000072003946,0.000009663023,0.00027189814,0.000061142586,0.00034269298,0.00014949143,0.00006797526,0.00003788363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117525684,0.00022437793,0.044158366,0.00009982725,0.00011832815,0.00009689447,0.004902517,0.0006198056,0.0009850934,0.23806073,0.0036589096,0.70695764],"study_design_scores_gemma":[0.0007190458,0.00013893512,0.047154468,0.000055190227,0.000008859307,0.00008557836,0.00006537872,0.9443039,0.00041479064,0.0030266508,0.0037677893,0.00025944834],"about_ca_topic_score_codex":0.00021370643,"about_ca_topic_score_gemma":0.00002552572,"teacher_disagreement_score":0.94368404,"about_ca_system_score_codex":0.000028467812,"about_ca_system_score_gemma":0.00003958481,"threshold_uncertainty_score":0.29362357},"labels":[],"label_agreement":null}]}