{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"622f4f1b330a","filters":{"venue":"Journal of Advanced Computing Systems"}},"results":[{"id":"W7160861967","doi":"10.69987/jacs.2025.51002","title":"Multi-Objective Deep Reinforcement Learning for Carbon-Aware Spatiotemporal Workload Scheduling in Geo-Distributed Data Centers","year":2025,"lang":"","type":"article","venue":"Journal of Advanced Computing Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Markov decision process; Scheduling (production processes); Reinforcement learning; Grid; Workload; Exploit; Electricity","authors":[{"name":"Yanhuan Chen","is_ca":false},{"name":"Zijie Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0236212008502206,"gpt":0.290517515420433,"spread":0.2668963145702125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060933,0.0008785408,0.0007472489,0.0002645093,0.0002591017,0.0005423935,0.001032291,0.0007758999,0.0009358859],"category_scores_gemma":[0.002007909,0.0004009341,0.0004050589,0.0002559932,0.000587595,0.0006600646,0.0007330138,0.001492146,0.0001562338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001537,"about_ca_system_score_gemma":0.001476696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495422,"about_ca_topic_score_gemma":0.01347781,"domain_scores_codex":[0.999763,0.00006892211,0.000009234781,0.00005996228,0.00003559247,0.0000633908],"domain_scores_gemma":[0.9993351,0.0003987067,0.00006808603,0.0000295973,0.00009894534,0.00006947826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003520899,0.00004655523,0.0007013991,0.0000178726,0.00001272121,0.00002153455,0.00001421364,0.9872283,0.0004397917,0.0005209083,0.0003847914,0.01057664],"study_design_scores_gemma":[0.000002296797,0.000007207772,0.00003787423,8.621257e-7,0.000001010414,9.449816e-7,0.000001781451,0.9995791,0.00006708226,0.0002733803,0.00002770203,7.164265e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3058536,0.001320513,0.6848056,0.001265136,0.0001517425,0.0000880552,0.0002119007,0.002021561,0.004281876],"genre_scores_gemma":[0.9770378,0.0001075613,0.02130689,0.0001817989,0.00002279227,0.0000429648,0.0001299743,0.00004383339,0.00112628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01495422,"threshold_uncertainty_score":0.02973431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7160855074","doi":"10.69987/jacs.2025.50902","title":"Performance Evaluation of Prompt Generation Strategies for AI Agents in Online Programming Education","year":2025,"lang":"","type":"article","venue":"Journal of Advanced Computing Systems","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Hybrid learning; Online learning; Tracking (education); Empirical research; Cognition","authors":[{"name":"Zan Li","is_ca":false},{"name":"Zijie Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05967443082002329,"gpt":0.388593024381778,"spread":0.3289185935617547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006001971,0.000822669,0.0004860142,0.0007374086,0.0002637423,0.001176303,0.0006553465,0.0006312188,0.001699086],"category_scores_gemma":[0.04919115,0.0002230858,0.0002215991,0.0003996135,0.0003050228,0.001108522,0.0007798991,0.0006245,0.0005243476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579801,"about_ca_system_score_gemma":0.0008916602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008402915,"about_ca_topic_score_gemma":0.0007953827,"domain_scores_codex":[0.9960052,0.002235941,0.0004380045,0.0004830006,0.0006554775,0.0001823503],"domain_scores_gemma":[0.9576489,0.0333358,0.002490608,0.001726697,0.003361785,0.00143611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01199412,0.01285342,0.07624478,0.0009318219,0.0002036606,0.0001734348,0.004879586,0.03309463,0.08283316,0.00126062,0.001279538,0.7742512],"study_design_scores_gemma":[0.002581651,0.08964874,0.2009218,0.0003176617,0.0007250037,0.0006097584,0.004651878,0.392396,0.2956509,0.003444538,0.008642179,0.0004099788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863754,0.00005955696,0.01184461,0.00003391907,0.00002197729,0.0002247834,0.00005424078,0.0004355837,0.0009498166],"genre_scores_gemma":[0.9798091,0.00006675933,0.01904168,0.00002825789,0.00001003612,0.0002448209,0.0001137661,0.00003295535,0.0006526014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006001971,"threshold_uncertainty_score":0.0317418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}