{"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":"fae62d25f329","filters":{"venue":"Journal of Smart Environments and Green Computing"}},"results":[{"id":"W4313490238","doi":"10.20517/jsegc.2022.16","title":"Towards green machine learning: challenges, opportunities, and developments","year":2022,"lang":"en","type":"article","venue":"Journal of Smart Environments and Green Computing","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Machine learning; Computer science; Computational learning theory; Interpretability; Deep learning; Robustness (evolution); Instance-based learning; Algorithmic learning theory; Active learning (machine learning)","authors":[{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06165180256184886,"gpt":0.2442894834500643,"spread":0.1826376808882154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01007449,0.0006978582,0.0007551475,0.001412574,0.001616936,0.007790869,0.001968512,0.005279633,0.004879873],"category_scores_gemma":[0.009145614,0.0003800522,0.0005621294,0.001997217,0.007167602,0.01777869,0.004397718,0.006605999,0.001997014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412119,"about_ca_system_score_gemma":0.003757828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007895507,"about_ca_topic_score_gemma":0.000885856,"domain_scores_codex":[0.9971289,0.001094607,0.00009810323,0.0002993085,0.001044,0.0003351272],"domain_scores_gemma":[0.992341,0.00443107,0.0003166974,0.001073959,0.001307135,0.0005300872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003552511,0.0000811513,0.0004247246,0.0004372208,0.00001074812,0.00008063419,0.0003618457,0.00436022,0.0007054814,0.8571704,0.0107708,0.1255613],"study_design_scores_gemma":[0.000005917173,0.00006634707,0.0001703609,0.0006056775,0.000006502624,0.0001176275,0.0006848093,0.01204228,0.001335557,0.8418157,0.1431264,0.00002285322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02386463,0.2024911,0.3627713,0.2923195,0.004099634,0.0001247143,0.0002018612,0.001023254,0.113104],"genre_scores_gemma":[0.445419,0.2434493,0.2601009,0.02259377,0.005431871,0.0002618984,0.0002304854,0.0004695901,0.02204325],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01007449,"threshold_uncertainty_score":0.05327958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388180756","doi":"10.20517/jsegc.2023.20","title":"Optimal operation and energy management of microgrids","year":2023,"lang":"en","type":"article","venue":"Journal of Smart Environments and Green Computing","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Energy (signal processing); Energy management; Computer science; Business; Mathematics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.006548003325838081,"gpt":0.1863472037800729,"spread":0.1797992004542348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557082,0.0005398552,0.0008432781,0.0004059502,0.0004410841,0.001349882,0.0006042589,0.0004300564,0.002015062],"category_scores_gemma":[0.001559286,0.0003748771,0.0002985351,0.0004842849,0.0004746149,0.00110144,0.0005741182,0.0004501005,0.0002114893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00074663,"about_ca_system_score_gemma":0.0007863183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004264647,"about_ca_topic_score_gemma":0.004945024,"domain_scores_codex":[0.9996523,0.0001363313,0.00001769469,0.00005648131,0.00006463836,0.00007271077],"domain_scores_gemma":[0.9996898,0.0001382605,0.00005080861,0.00002543256,0.00007148345,0.00002423974],"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":[0.0001393339,0.00004424374,0.000517451,0.00004518079,0.00002742562,0.00003869312,0.00003896187,0.9648677,0.001713835,0.01254699,0.0009514576,0.01906883],"study_design_scores_gemma":[0.00001030798,0.00003959988,0.0003113432,0.000005525829,0.000008957817,0.00001128784,0.00004311751,0.9862707,0.0004781048,0.01236327,0.0004523812,0.000005408356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2925679,0.00166299,0.6776842,0.001255081,0.0002415941,0.0001314523,0.0003630768,0.0003955576,0.02569822],"genre_scores_gemma":[0.9917779,0.0001896446,0.006602422,0.00001759523,0.00002114599,0.0000141594,0.00003259233,0.00001737436,0.001327098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004264647,"threshold_uncertainty_score":0.008479655,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}