{"meta":{"query_hash":"f6da0fece9c1","filters":{"venue":"Computers and Their Applications"},"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/f6da0fece9c1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computers+and+Their+Applications"},"results":[{"id":"W10086075","doi":"","title":"RPM: A Remote PC Power Management Tool.","year":2004,"lang":"en","type":"article","venue":"Computers and Their Applications","topic":"Green IT and Sustainability","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":"Computer science; Power (physics); Power management; Physics","score_opus":0.0037263751673252826,"score_gpt":0.17949817073674987,"score_spread":0.17577179556942457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10086075","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":[0.053487085,0.00020123218,0.93796533,0.00024915757,0.000055257406,0.00034844596,0.000003875718,0.00021239338,0.00747722],"genre_scores_gemma":[0.99204606,0.000033857392,0.0077145407,0.00007114571,0.000026402517,0.000035843415,0.0000045706392,0.000010064808,0.000057538706],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996348,0.0000028964137,0.00008693089,0.00012476782,0.00003090511,0.00011970822],"domain_scores_gemma":[0.999684,0.000012235253,0.000007489861,0.00023907152,0.000015753016,0.000041482424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041138588,0.0000821535,0.00007164931,0.000032160304,0.000073912866,0.000028632028,0.00009232354,0.000024387675,0.000004855789],"category_scores_gemma":[5.017103e-7,0.00007277031,0.000028792083,0.00010433016,0.00002823328,0.000032898497,0.000043440563,0.000050220468,0.000013396002],"study_design_candidate":"design_other","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":[0.000005079126,0.00010419651,0.00018339192,0.00025707495,0.00014889936,0.000006541792,0.0019755426,0.013225478,0.0001905547,0.27267036,0.0019689351,0.7092639],"study_design_scores_gemma":[0.0013448421,0.000066537155,0.023537077,0.0000815523,0.000037734306,0.000030267793,0.0010716931,0.049658503,0.00048311034,0.40026116,0.52255327,0.0008742426],"about_ca_topic_score_codex":0.000005508489,"about_ca_topic_score_gemma":0.0000018523369,"teacher_disagreement_score":0.93855894,"about_ca_system_score_codex":0.000040058745,"about_ca_system_score_gemma":0.0000037167686,"threshold_uncertainty_score":0.2967487},"labels":[],"label_agreement":null},{"id":"W202905625","doi":"","title":"An Analytical Comparison of Distributed and Hierarchical Web-Caching Architectures.","year":2003,"lang":"en","type":"article","venue":"Computers and Their Applications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Computer science; Limiting; Distributed computing; False sharing; Hierarchical database model; Distributed database; Server; Cache; Computer network; CPU cache; Cache algorithms; Data mining","score_opus":0.018681280232659345,"score_gpt":0.2690829759286588,"score_spread":0.25040169569599946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202905625","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":[0.1904625,0.00034199576,0.8085539,0.00023530732,0.000025735355,0.00011491335,0.00001355843,0.000060237315,0.00019187325],"genre_scores_gemma":[0.9933899,0.000008728683,0.0064587505,0.00008957892,0.000020820442,0.000014108358,0.00001098487,0.0000047087783,0.0000024421201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916387,0.00008736858,0.0001981336,0.0003170568,0.0000823425,0.00015124037],"domain_scores_gemma":[0.9991734,0.00018721393,0.00005728302,0.00039635482,0.00003216977,0.00015354977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015696447,0.0001162072,0.00020342029,0.00007908437,0.00018628938,0.00009757072,0.00030606,0.00004083195,8.1715643e-7],"category_scores_gemma":[0.000008252128,0.00009456388,0.00004188172,0.0001884128,0.00012869261,0.00006171095,0.000099685734,0.00016850716,6.67656e-7],"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":[0.000008119965,0.0003595801,0.0073087546,0.000024479887,0.000063604144,0.0000010608956,0.0008931824,0.0018239182,0.0025401358,0.80621517,0.00012950273,0.18063252],"study_design_scores_gemma":[0.00030679593,0.00009192299,0.004107359,0.000014430293,0.000012546996,0.00002931371,0.00006690371,0.9810038,0.00023482289,0.010346501,0.0036203,0.0001652806],"about_ca_topic_score_codex":0.000009936038,"about_ca_topic_score_gemma":0.0000034736088,"teacher_disagreement_score":0.9791799,"about_ca_system_score_codex":0.0000052934615,"about_ca_system_score_gemma":0.000024957637,"threshold_uncertainty_score":0.38562033},"labels":[],"label_agreement":null},{"id":"W28414101","doi":"10.1016/j.pneurobio.2017.04.002","title":"A Novel Floorplanning for Hierarchical VLSI Design.","year":2009,"lang":"en","type":"article","venue":"Computers and Their Applications","topic":"VLSI and FPGA Design Techniques","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":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Floorplan; Very-large-scale integration; Computer science; Computer architecture; Physical design; Integrated circuit layout; Parallel computing; Integrated circuit design; Embedded system; Integrated circuit; Circuit design","score_opus":0.019428657818499746,"score_gpt":0.22927292271664956,"score_spread":0.2098442648981498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W28414101","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":[0.00033174793,0.00023325431,0.99795187,0.00015866072,0.000020610058,0.0004561817,0.000012785928,0.00045357874,0.00038131358],"genre_scores_gemma":[0.689495,0.000030993375,0.30985674,0.00020043906,0.00012212119,0.0002524577,0.000016598802,0.000014090979,0.000011570361],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963576,0.0000034327286,0.00009385715,0.00011797699,0.00002269805,0.00012625741],"domain_scores_gemma":[0.99971604,0.00007892994,0.000010150038,0.0001256663,0.000014399196,0.00005479789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059501926,0.00009187343,0.000096900105,0.00004641868,0.00008933688,0.000034883094,0.00009955259,0.0000437337,7.686783e-7],"category_scores_gemma":[0.0000012047113,0.000080598096,0.00003109619,0.000073493895,0.000018363357,0.000035648227,0.000009157909,0.00006332272,0.0000014553502],"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":[0.0000072667103,0.00007053949,0.0000047916833,0.0000341024,0.00003580886,3.080755e-7,0.0005039912,0.0029348256,0.07813647,0.050531372,0.006948227,0.8607923],"study_design_scores_gemma":[0.0004914561,0.0001529866,0.00037537472,0.00003982343,0.00001503343,0.000034442077,0.000025825124,0.8754174,0.013473184,0.052640248,0.05696486,0.00036934434],"about_ca_topic_score_codex":3.6291883e-7,"about_ca_topic_score_gemma":6.8616146e-8,"teacher_disagreement_score":0.8724826,"about_ca_system_score_codex":0.000009117663,"about_ca_system_score_gemma":0.0000044443505,"threshold_uncertainty_score":0.32866952},"labels":[],"label_agreement":null},{"id":"W80409128","doi":"","title":"Performance Evaluation of Six Wireless Ad Hoc Network Routing Protocols.","year":2003,"lang":"en","type":"article","venue":"Computers and Their Applications","topic":"Mobile Ad Hoc Networks","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":"Trent University; Queen's University","funders":"","keywords":"Computer science; Computer network; Routing protocol; Wireless Routing Protocol; Wireless ad hoc network; Optimized Link State Routing Protocol; Mobile ad hoc network; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Link-state routing protocol; Throughput; Network packet; Distributed computing; Wireless; Telecommunications","score_opus":0.024530778362201754,"score_gpt":0.2663343529793348,"score_spread":0.24180357461713303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W80409128","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":[0.025710847,0.00035308552,0.9660733,0.00005457453,0.00007475317,0.006098378,9.848958e-7,0.000076655146,0.001557432],"genre_scores_gemma":[0.9651151,0.000033847893,0.027869752,0.00006513094,0.00006742194,0.0068260683,0.0000035132746,0.0000091316915,0.000010056927],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887097,0.00011316728,0.00026396356,0.00033461326,0.00019375504,0.00022352292],"domain_scores_gemma":[0.9988341,0.00011034618,0.00017835844,0.0006212511,0.00018727838,0.00006870309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088459253,0.00013013372,0.0001679563,0.00003361881,0.00022189536,0.000069594826,0.00045687723,0.00005027622,0.0000037808636],"category_scores_gemma":[0.0000044246954,0.00011456359,0.000038978294,0.00045661826,0.000059452712,0.0001820497,0.00013400665,0.000098799246,0.0000044881454],"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":[0.0000019522022,0.00006106076,0.00093402545,0.000021418118,0.000018204224,6.373757e-8,0.0003685304,0.012578761,0.00007543603,0.11401332,0.0002558135,0.87167144],"study_design_scores_gemma":[0.0003519831,0.000051346302,0.002063221,0.00007132477,0.000007803013,0.000007190629,0.000016795471,0.9826598,0.00032485585,0.004256717,0.010046477,0.00014249583],"about_ca_topic_score_codex":8.9353597e-7,"about_ca_topic_score_gemma":0.0000019289753,"teacher_disagreement_score":0.97008103,"about_ca_system_score_codex":0.000030270328,"about_ca_system_score_gemma":0.00008103985,"threshold_uncertainty_score":0.46717677},"labels":[],"label_agreement":null}]}