{"meta":{"query_hash":"9488f98286f5","filters":{"venue":"Herald of the Bauman Moscow State Technical University Series Natural Sciences"},"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/9488f98286f5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Herald+of+the+Bauman+Moscow+State+Technical+University+Series+Natural+Sciences"},"results":[{"id":"W4309327240","doi":"10.18698/1812-3368-2022-5-16-30","title":"Tangible Power Loss Dwindling by Canadian Yukon Cougar Optimization Algorithm","year":2022,"lang":"en","type":"article","venue":"Herald of the Bauman Moscow State Technical University Series Natural Sciences","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Population; Geography; Value (mathematics); Power loss; Demography; Ecology; Biology; Mathematics; Statistics; Sociology","score_opus":0.0032270757356836974,"score_gpt":0.16684209239687775,"score_spread":0.16361501666119405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309327240","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":[0.9083423,0.0019347614,0.03546781,0.0053595384,0.014409629,0.0023723627,0.0016247344,0.002490751,0.02799813],"genre_scores_gemma":[0.99595624,0.000025765707,0.0021773335,0.0000368675,0.0000108765635,0.0000012999091,0.0000073715614,0.000011565512,0.0017726986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988503,0.0000764231,0.0001594664,0.00020559625,0.0003887631,0.00031946725],"domain_scores_gemma":[0.999589,0.000030039866,0.00007135405,0.00019021556,0.000042043022,0.000077337965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028640297,0.00012770518,0.00014830324,0.00015942332,0.0009859607,0.00004335716,0.00075695675,0.00004891824,0.00015691608],"category_scores_gemma":[0.000012721493,0.000113612004,0.000068960326,0.0010323109,0.0002785395,0.00036612622,0.0001721969,0.0003254155,0.0000017544505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041161627,0.000025620988,0.00055465533,0.000030598578,0.00005308102,0.000026527328,0.0008020367,0.96723557,0.0038071335,0.00093643606,0.025836563,0.0006506283],"study_design_scores_gemma":[0.0021157595,0.0013210139,0.002290922,0.00019723736,0.00010011054,0.00036869547,0.009836046,0.5246934,0.016312227,0.001254768,0.4390638,0.002445997],"about_ca_topic_score_codex":0.0069312914,"about_ca_topic_score_gemma":0.0054337247,"teacher_disagreement_score":0.4425421,"about_ca_system_score_codex":0.0005812621,"about_ca_system_score_gemma":0.00007319596,"threshold_uncertainty_score":0.99968165},"labels":[],"label_agreement":null}]}