{"meta":{"query_hash":"3f6873aca99a","filters":{"topic":"Energy Efficiency in Computing"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/3f6873aca99a","api":"https://metacan.xera.ac/api/v1/cohort?topic=Energy+Efficiency+in+Computing"},"results":[{"id":"W2373936188","doi":"","title":"Preliminary Research on the Construction of Urban Residential Quarter Information Bank against the Background of Climate Change","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Energy Efficiency in Computing","field":"Computer Science","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":"Quarter (Canadian coin); Climate change; Urban planning; Business; Plan (archaeology); Environmental planning; Geography; Engineering; Civil engineering","score_opus":0.1638970938358549,"score_gpt":0.3338032360618128,"score_spread":0.16990614222595787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373936188","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":[0.9595946,0.0015045494,0.0031019612,0.0015311817,0.0014574912,0.0006198062,0.0000059873196,0.0000919085,0.03209252],"genre_scores_gemma":[0.99811053,0.00019676305,0.001394766,0.00011323665,0.0001295581,0.000038192782,6.903375e-7,0.0000045731986,0.000011673631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99817514,0.0003374257,0.0004277544,0.00017965653,0.0005809012,0.00029913196],"domain_scores_gemma":[0.99779737,0.000795465,0.0002857072,0.0006411782,0.00046128745,0.000018976327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018173245,0.00011741974,0.00017030707,0.00018779379,0.00047678303,0.000044110013,0.00084242475,0.000041959625,0.0000034029401],"category_scores_gemma":[0.00009964879,0.00006809916,0.0000628885,0.00058089587,0.0006238069,0.00050825236,0.0005972793,0.00020695188,0.000016452797],"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":[0.00009729276,0.0001304392,0.003944662,0.0001573681,0.00013270289,0.000003001502,0.10912856,0.000101206024,0.000072948256,0.85533077,0.012042324,0.018858753],"study_design_scores_gemma":[0.0031021326,0.0106779365,0.45920923,0.0038818188,0.00020957451,0.000080350976,0.33282024,0.098564744,0.046808034,0.034833964,0.0078051104,0.002006877],"about_ca_topic_score_codex":0.000049051436,"about_ca_topic_score_gemma":0.000009042357,"teacher_disagreement_score":0.8204968,"about_ca_system_score_codex":0.00004000797,"about_ca_system_score_gemma":0.000027149239,"threshold_uncertainty_score":0.36670777},"labels":[],"label_agreement":null},{"id":"W2378981660","doi":"","title":"Exploring the Sustainable Development Road of Alcohol Industry","year":2011,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency in Computing","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":"CAE (Canada)","funders":"","keywords":"Alcohol industry; Sustainable development; Renewable energy; Resource (disambiguation); Business; Sunrise; Alcohol; Natural resource economics; Engineering; Environmental economics; Political science; Economics; Advertising; Geography; Computer science; Meteorology","score_opus":0.16862618937222612,"score_gpt":0.2609657335698094,"score_spread":0.09233954419758328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378981660","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":[0.7137257,0.000018366518,0.19069713,0.0001067822,0.00026323696,0.00008415056,2.0342487e-8,0.00013959315,0.094965026],"genre_scores_gemma":[0.9299941,9.848012e-7,0.06868825,0.00008372329,0.000020230003,0.000016971637,5.6292816e-8,0.000004679394,0.0011909783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893194,0.000037424164,0.00024083263,0.0002147672,0.00023885965,0.0003361987],"domain_scores_gemma":[0.9992036,0.000055147215,0.00007581285,0.00050808827,0.000112497495,0.000044835484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061619835,0.00009034358,0.00008739021,0.00007943572,0.00018515857,0.000035323937,0.0013345535,0.0000394869,0.000019987594],"category_scores_gemma":[0.000051018393,0.000060402464,0.00002710773,0.0005225196,0.000041562886,0.00042814037,0.00073028234,0.0001867954,0.000009046309],"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":[0.0000027846784,0.00017299308,0.0041532707,0.00003078608,0.00003541664,0.000044699667,0.02775188,0.0023524775,0.00022106477,0.79053736,0.00023071202,0.17446658],"study_design_scores_gemma":[0.0006003259,0.0001763489,0.2143462,0.0001144482,0.000010280823,0.00005053607,0.011074472,0.046679795,0.71050596,0.0049571027,0.010579417,0.00090510974],"about_ca_topic_score_codex":0.00024208153,"about_ca_topic_score_gemma":0.000003533963,"teacher_disagreement_score":0.7855802,"about_ca_system_score_codex":0.00003972093,"about_ca_system_score_gemma":0.00014662748,"threshold_uncertainty_score":0.24799547},"labels":[],"label_agreement":null},{"id":"W2385780062","doi":"","title":"Hot Water Heating Administration of Residential Quarter Management Company in the Coal Fuel Area","year":2003,"lang":"en","type":"article","venue":"Jiangxi Energy","topic":"Energy Efficiency in Computing","field":"Computer Science","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":"Quarter (Canadian coin); Coal; Waste management; Administration (probate law); Environmental science; Business; Engineering; Geography; Political science","score_opus":0.015371870630168158,"score_gpt":0.23905550599607978,"score_spread":0.22368363536591163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385780062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27450064,0.00013326477,0.6506268,0.0010465222,0.0009005186,0.00016787316,8.86401e-7,0.00010714305,0.072516404],"genre_scores_gemma":[0.9898075,0.0000039474,0.009591132,0.00034754342,0.00004969985,0.000016446278,0.0000041520425,0.000007057406,0.00017252758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982104,0.00027186458,0.00041336234,0.00033127295,0.00042746417,0.00034569317],"domain_scores_gemma":[0.9991694,0.00010424221,0.000095823016,0.0005571723,0.00003972282,0.000033634704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067468523,0.00014052974,0.00015519946,0.0001496119,0.00009883952,0.000121370664,0.0007748886,0.000049592996,0.000013912094],"category_scores_gemma":[0.000013670573,0.00009762733,0.0000648496,0.0003194771,0.000043895227,0.00018471295,0.00010076429,0.000093610906,0.0000061425258],"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":[0.00002339143,0.00043320682,0.0011334071,0.00006740739,0.000039834435,0.00025212704,0.005304045,0.044350035,0.0019406829,0.94025546,0.0016034077,0.0045970096],"study_design_scores_gemma":[0.0053848773,0.0015315069,0.04876565,0.0006248674,0.00009625453,0.0006677951,0.005359263,0.6364538,0.18054329,0.058143284,0.05980933,0.0026200828],"about_ca_topic_score_codex":0.00013755947,"about_ca_topic_score_gemma":0.0002543888,"teacher_disagreement_score":0.88211215,"about_ca_system_score_codex":0.000036081205,"about_ca_system_score_gemma":0.000028967772,"threshold_uncertainty_score":0.39811268},"labels":[],"label_agreement":null},{"id":"W7162442345","doi":"10.32628/cseit251117137","title":"College Management System","year":2025,"lang":"","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Energy Efficiency in Computing","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Upload; Consistency (knowledge bases); Payment; System administrator; Attendance; Management system; Authentication (law); Data integrity; Web application; Data access","score_opus":0.014523841366220962,"score_gpt":0.3003442990782173,"score_spread":0.2858204577119963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162442345","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":[0.053249832,0.00036160805,0.91951334,0.0048310114,0.02040674,0.00025917433,0.0000040219043,0.00008368613,0.0012905977],"genre_scores_gemma":[0.8878369,0.00010835731,0.1118569,0.000041099007,0.000104462124,0.000006991453,5.206376e-7,0.000003947352,0.00004084357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940443,0.00008624916,0.0015983554,0.0005241795,0.0028902194,0.0008567221],"domain_scores_gemma":[0.99434346,0.0002653611,0.00043195166,0.000643903,0.0041475734,0.00016774274],"candidate_categories":["bibliometrics","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.014704765,0.0002195289,0.0003267171,0.024191411,0.0005863185,0.0029286637,0.0066748117,0.00016664456,0.000001604992],"category_scores_gemma":[0.00036614246,0.0002175908,0.00007061509,0.01379954,0.0016822951,0.006077104,0.003533347,0.0010436908,0.0000147880155],"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":[0.000009134646,0.00005365445,0.0001233448,0.00011109807,0.000034378867,0.000094665804,0.00033780324,0.091024205,0.00015594733,0.57878965,0.00020949834,0.3290566],"study_design_scores_gemma":[0.00070591737,0.00012736865,0.00068188645,0.0020580401,0.0000033763076,0.00035304975,0.0004013681,0.97749776,0.0018572148,0.0018254659,0.014324919,0.00016365823],"about_ca_topic_score_codex":0.0000060910156,"about_ca_topic_score_gemma":4.901332e-7,"teacher_disagreement_score":0.88647354,"about_ca_system_score_codex":0.0013367989,"about_ca_system_score_gemma":0.0010831618,"threshold_uncertainty_score":0.99869955},"labels":[],"label_agreement":null}]}