{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2076,"total_is_capped":false,"direct_labels_cover":5,"predictions_cover":2076,"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"},"query_hash":"29f6f3097371","filters":{"topic":"Distributed and Parallel Computing Systems"}},"results":[{"id":"W2108165346","doi":"10.1002/spe.432","title":"A taxonomy and survey of grid resource management systems for distributed computing","year":2001,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":851,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Taxonomy (biology); Grid computing; Grid; Resource management (computing); Variety (cybernetics); Resource (disambiguation); Component (thermodynamics); Data science; Distributed computing; Knowledge management; Artificial intelligence; Computer network; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.04260109686453242,"gpt":0.2879373357363765,"spread":0.2453362388718441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091814,0.0001660625,0.0002692819,0.0000583402,0.0002553784,0.0002983394,0.000443118,0.00005574408,5.333173e-7],"category_scores_gemma":[0.0005584831,0.0001582571,0.00002822308,0.0004073817,0.00008641987,0.0005494644,0.0003435478,0.00008555465,0.000001405279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002048972,"about_ca_system_score_gemma":0.00002538474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000536775,"about_ca_topic_score_gemma":0.000004141308,"domain_scores_codex":[0.9983841,0.0002047863,0.0003855423,0.0004892172,0.000218931,0.0003174018],"domain_scores_gemma":[0.9975717,0.001360389,0.0003356911,0.000395079,0.0002203909,0.0001167573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001627822,0.001627127,0.3856743,0.004038061,0.001035422,0.0005602264,0.04671005,0.01685952,0.0000893473,0.07469377,0.04260045,0.4244839],"study_design_scores_gemma":[0.001621767,0.0003858065,0.03674139,0.0004359821,0.00004585485,0.0006387189,0.007111455,0.08777245,0.00002526569,0.00008937957,0.8643864,0.0007455653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03630837,0.00178574,0.9604707,0.0001192486,0.0003187176,0.0005452981,0.0000472598,0.0001264148,0.0002782414],"genre_scores_gemma":[0.9677501,0.000148564,0.03176381,0.0001003647,0.00005893661,0.00007260939,0.0000494118,0.000008366022,0.00004781266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9314417,"threshold_uncertainty_score":0.6453537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1564285798","doi":"10.1007/11227.1573-0484","title":"The Journal of Supercomputing","year":2013,"lang":"en","type":"paratext","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":276,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Supercomputer; Parallel computing; Computational science; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.01591653813637924,"gpt":0.2432204475907962,"spread":0.227303909454417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01309368,0.0007340678,0.001520839,0.0004234329,0.001377619,0.001133253,0.01004626,0.0003878066,0.00006330404],"category_scores_gemma":[0.0004502977,0.0003878295,0.0008377261,0.0009273758,0.000287096,0.0008443232,0.001318108,0.003263072,0.0005137379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500229,"about_ca_system_score_gemma":0.00104857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607867,"about_ca_topic_score_gemma":0.000003971403,"domain_scores_codex":[0.9904114,0.002464501,0.003804294,0.0002993185,0.001902525,0.001117935],"domain_scores_gemma":[0.986713,0.004919653,0.004302537,0.001216184,0.002510188,0.0003384741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006688407,0.0001391513,0.00009729395,0.0002291644,0.0009293443,0.00008248377,0.008608923,0.08079856,0.0006201854,0.0006096518,0.8596569,0.04816147],"study_design_scores_gemma":[0.003167234,0.002213501,0.0005635361,0.008024362,0.0007040785,0.03167526,0.005099204,0.1630813,0.0007073249,0.001354142,0.7812705,0.002139559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0823569,0.04122835,0.8309072,0.002651751,0.03393295,0.0005855279,0.00001735446,0.00006189909,0.00825802],"genre_scores_gemma":[0.9687243,0.002538488,0.01028504,0.0004525107,0.0124621,9.172934e-7,0.00001071294,0.0001329273,0.00539306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8863673,"threshold_uncertainty_score":0.9999225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095930915","doi":"10.1016/j.jpdc.2007.05.015","title":"A high performance algorithm for static task scheduling in heterogeneous distributed computing systems","year":2007,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":235,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Dynamic priority scheduling; Algorithm; Scheduling (production processes); Fair-share scheduling; Rate-monotonic scheduling; Distributed computing; Parallel computing; Speedup; Symmetric multiprocessor system; Critical path method; Two-level scheduling; Fixed-priority pre-emptive scheduling; Round-robin scheduling; Schedule; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.01504554752251884,"gpt":0.2554308832610148,"spread":0.240385335738496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00376855,0.0004973466,0.001090374,0.0004046354,0.00044844,0.000540087,0.001103155,0.0002130642,7.090088e-7],"category_scores_gemma":[0.0001860235,0.0004604747,0.0002217297,0.0009753243,0.0001040546,0.0004777228,0.0003452289,0.0006016714,0.000002871002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912302,"about_ca_system_score_gemma":0.0001841358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006785812,"about_ca_topic_score_gemma":0.000003390144,"domain_scores_codex":[0.9950495,0.0002045038,0.002308379,0.0005988167,0.0006514078,0.001187366],"domain_scores_gemma":[0.9958692,0.00103789,0.001643329,0.0003893452,0.0006486622,0.0004116137],"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":[0.00008058799,0.0001980919,0.003959384,0.000249464,0.000137614,0.0002636209,0.0006246172,0.9494122,0.000081801,0.001399405,0.0001806912,0.04341248],"study_design_scores_gemma":[0.003100118,0.0004922814,0.006712424,0.0007673897,0.00003507105,0.001230538,0.0003783997,0.9856984,0.00004950679,0.0003205758,0.0007042509,0.000511017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3785735,0.0008477124,0.6190721,0.00009700183,0.0009483389,0.0003026339,0.00007489431,0.00007690564,0.000006829184],"genre_scores_gemma":[0.8699252,0.00002702085,0.1293434,0.00006706779,0.0004924811,0.000002400605,0.0001133708,0.00002447177,0.000004607733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4913516,"threshold_uncertainty_score":0.9997847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W375811165","doi":"10.6180/jase.2000.3.3.09","title":"Representing Task and Machine Heterogeneities for Heterogeneous Computing Systems","year":2000,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":214,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Heuristics; Computer science; Range (aeronautics); Task (project management); Schedule; Set (abstract data type); Matrix (chemical analysis); Execution time; Variation (astronomy); Algorithm; Distributed computing; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02207273138427968,"gpt":0.2429503676753769,"spread":0.2208776362910973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356263,0.0001996239,0.0002862257,0.00005899283,0.0003324207,0.0006483906,0.0005482817,0.00006316815,0.000008224612],"category_scores_gemma":[0.00001573588,0.0001780132,0.00008971857,0.0001480663,0.00003417649,0.0001812313,0.0001666435,0.00007080374,0.00002043962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955567,"about_ca_system_score_gemma":0.00001619291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186296,"about_ca_topic_score_gemma":0.000004713353,"domain_scores_codex":[0.9983084,0.00009352544,0.0004126359,0.0005550288,0.0001894028,0.0004409687],"domain_scores_gemma":[0.9990302,0.0002060771,0.00009935081,0.0004830931,0.00006337963,0.0001179091],"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":[0.00007913547,0.0002949403,0.01129377,0.001163849,0.0005665231,0.0001500662,0.004398876,0.5571302,0.001256685,0.06570215,0.01103153,0.3469323],"study_design_scores_gemma":[0.0003924049,0.00007395327,0.0001150597,0.0000556077,0.000006164426,0.0003468533,0.00001934901,0.9694095,0.0001690161,0.0002015996,0.02895452,0.0002560256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608864,0.001776197,0.832574,0.0001579794,0.000463899,0.000412095,0.00001799101,0.0005060773,0.003205325],"genre_scores_gemma":[0.9904003,0.00001271848,0.007698899,0.0001483644,0.0001845493,0.00001330996,0.00001574094,0.00001458521,0.001511519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295139,"threshold_uncertainty_score":0.7259166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168227425","doi":"","title":"Towards virtual networks for virtual machine grid computing","year":2004,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":194,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Computer science; Distributed computing; Virtual machine; Virtual network; Reservation; Temporal isolation among virtual machines; Adaptation (eye); Computer network; Resource (disambiguation); Network topology; Routing (electronic design automation); Virtualization; Operating system; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.01468510582346771,"gpt":0.2484827695904643,"spread":0.2337976637669965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800003,0.0002439998,0.0002994868,0.00007391157,0.0002942241,0.0003009101,0.001196288,0.0001077919,0.000006839074],"category_scores_gemma":[0.00004217328,0.00021174,0.0001649264,0.0003826249,0.00004941388,0.0002388864,0.0003729121,0.0001775461,0.00004446377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007725139,"about_ca_system_score_gemma":0.0001205062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462519,"about_ca_topic_score_gemma":0.00001551196,"domain_scores_codex":[0.9981409,0.00005052937,0.0004202303,0.0005346096,0.0002806818,0.0005730166],"domain_scores_gemma":[0.9989496,0.0001465365,0.0001275988,0.0004913206,0.0001142023,0.0001707819],"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":[0.00001026736,0.00007723961,0.00005242271,0.0000079947,0.00003263421,0.000009347629,0.0003652663,0.5347891,0.0000210961,0.4228449,0.003727532,0.03806213],"study_design_scores_gemma":[0.001441072,0.0004950577,0.0002989497,0.00005091681,0.000006378608,0.00005442119,0.00004676853,0.9816794,0.0001319886,0.001697935,0.0137129,0.0003841574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006155166,0.0001039155,0.9862934,0.0007207763,0.003084106,0.000292834,0.0000146011,0.0006643656,0.002670844],"genre_scores_gemma":[0.9552665,0.000002343237,0.04290488,0.000570294,0.0008834015,0.000007294816,0.00005301291,0.00001620136,0.0002960467],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9491113,"threshold_uncertainty_score":0.8634508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107262494","doi":"10.1145/2330784.2330799","title":"DEAP","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Python (programming language); Synchronization (alternating current); Distributed computing; Computation; Theoretical computer science; Decomposition; Parallel computing; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01687209198609756,"gpt":0.2358893605881293,"spread":0.2190172686020317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730812,0.00003939047,0.00004368962,0.00001624818,0.00003640108,0.00005172658,0.0003401991,0.00001632882,0.00002141689],"category_scores_gemma":[0.00000586464,0.00003069429,0.00002139871,0.0001178102,0.000004308785,0.0002376874,0.00008509742,0.00002645609,0.0007490349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006383015,"about_ca_system_score_gemma":0.000007389671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009402867,"about_ca_topic_score_gemma":2.012329e-7,"domain_scores_codex":[0.9995616,0.00001946604,0.0000656986,0.00007107871,0.00008251372,0.0001996153],"domain_scores_gemma":[0.9996525,0.00002266365,0.00001558703,0.0002188016,0.00001320771,0.00007721384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.274413e-7,0.00003959876,0.01309652,0.000003596165,0.000005551583,9.069851e-7,0.0003279274,0.0000409375,0.00006228939,0.9429066,0.03195012,0.01156575],"study_design_scores_gemma":[0.0002098931,0.00002795979,0.02787663,0.000009776552,0.000001972079,0.00007592032,0.00002082355,0.03194138,0.0006903197,0.001963452,0.9368873,0.0002946136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005260918,0.0001023295,0.8762763,0.0001718359,0.0005937019,0.00002254614,1.614e-7,0.0002281191,0.1173441],"genre_scores_gemma":[0.9804013,3.274163e-7,0.01781453,0.0002092431,0.0001342268,0.000001162275,6.6079e-7,0.000001430858,0.001437069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9751405,"threshold_uncertainty_score":0.9627578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2967060868","doi":"10.1007/s41781-019-0026-3","title":"Rucio: Scientific Data Management","year":2019,"lang":"en","type":"article","venue":"Computing and Software for Big Science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":179,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Data management; Software; Data access; Architecture; Distributed database; Software architecture","retraction":null,"screen_n_in":null,"score":{"opus":0.04052009621758619,"gpt":0.2881817264492434,"spread":0.2476616302316572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002813545,0.0001681095,0.0001993261,0.0002301083,0.001050888,0.001720979,0.004377297,0.00003734414,8.767291e-7],"category_scores_gemma":[0.0001554356,0.0001521244,0.00003357976,0.001498267,0.0003248827,0.000537927,0.003003664,0.00008999258,0.0000526195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003407867,"about_ca_system_score_gemma":0.000181763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009528773,"about_ca_topic_score_gemma":0.000001208471,"domain_scores_codex":[0.9970849,0.00002911228,0.0002739414,0.001447128,0.0005491396,0.000615746],"domain_scores_gemma":[0.9973061,0.0002062408,0.0001300656,0.001954399,0.0002314322,0.0001717505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009919762,0.0001312906,0.01597906,0.0005576095,0.00004026642,0.00001404395,0.001694848,0.004471099,0.0004304001,0.08411746,0.01057703,0.881977],"study_design_scores_gemma":[0.0008169473,0.0001360204,0.00977349,0.0003004644,0.0000111078,0.00005755483,0.00009288496,0.8827627,0.00009709482,0.004019817,0.1013339,0.0005980626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1049055,0.0002339404,0.8881149,0.0001104695,0.005220621,0.0004082396,0.0000268772,0.000383234,0.0005962295],"genre_scores_gemma":[0.8758304,0.000002057766,0.1232542,0.00008957491,0.0001117133,0.000002440646,0.00003285781,0.000007192853,0.0006695868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8813789,"threshold_uncertainty_score":0.9993153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965330815","doi":"10.1145/3332186.3332195","title":"Deploying a Top-100 Supercomputer for Large Parallel Workloads","year":2019,"lang":"en","type":"preprint","venue":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":171,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"University of Toronto; Government of Ontario","keywords":"Supercomputer; Computer science; Software deployment; Procurement; Parallel computing; Operating system; Process (computing); Cluster (spacecraft); Computer cluster; Throughput; Many core; Distributed computing; Computer architecture","retraction":null,"screen_n_in":null,"score":{"opus":0.03900229764787931,"gpt":0.3798762313542771,"spread":0.3408739337063977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005996416,0.0004894852,0.0008170034,0.0003679918,0.0008375504,0.000517711,0.004688657,0.0002809525,0.000001515505],"category_scores_gemma":[0.005843109,0.0003300352,0.0003388851,0.001216655,0.0002752155,0.0005787095,0.008337781,0.0033042,0.000002745502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399152,"about_ca_system_score_gemma":0.0002110471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001561402,"about_ca_topic_score_gemma":0.00000269248,"domain_scores_codex":[0.9947436,0.0005650817,0.0009912176,0.001235906,0.001442433,0.001021795],"domain_scores_gemma":[0.9936998,0.002823187,0.001325679,0.0008041906,0.001222546,0.00012463],"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":[0.001210645,0.001213611,0.1549617,0.003441463,0.0002331034,0.000006533695,0.06646668,0.7120298,0.002411849,0.0245918,0.001084413,0.03234833],"study_design_scores_gemma":[0.001547851,0.0004970764,0.004458642,0.004699965,0.00002573914,0.00004105684,0.003663101,0.9659191,0.0008744792,0.004425427,0.01322698,0.00062058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962413,0.001115609,0.02818421,0.002998556,0.00149931,0.002247782,0.000007827458,0.0001343678,0.001399302],"genre_scores_gemma":[0.9782602,0.0001490251,0.02082296,0.0001005294,0.0001653245,0.0000884597,0.00000206787,0.00004467384,0.0003667898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538893,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104538152","doi":"10.1109/ccgrid.2002.1017189","title":"Towards Trust-Aware Resource Management in Grid Computing Systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":160,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Grid computing; Grid; Semantic grid; Encryption; Resource management (computing); Distributed computing; Trust management (information system); Overhead (engineering); Process (computing); Resource allocation; Resource (disambiguation); DRMAA; Access control; Resource Management System; Computer security; Computer network; Operating system; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01693500845117405,"gpt":0.2422212657667216,"spread":0.2252862573155476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047708,0.0002083029,0.0002793639,0.000181743,0.0001232338,0.0003531408,0.0009762899,0.00007420734,0.000008144217],"category_scores_gemma":[0.00001512065,0.0001892584,0.00006973794,0.0007888304,0.00001872321,0.0001497809,0.0002473974,0.0001598312,0.00009864832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156521,"about_ca_system_score_gemma":0.00003891368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350137,"about_ca_topic_score_gemma":0.000004031142,"domain_scores_codex":[0.997771,0.0002853176,0.0004856763,0.000547892,0.0003854776,0.0005246587],"domain_scores_gemma":[0.9990116,0.00005993909,0.0001109217,0.0006610035,0.00004257403,0.0001139917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000410492,0.0001486589,0.00416346,0.0002045638,0.00006252065,0.0002802388,0.0009273083,0.1017377,0.000003529955,0.8482263,0.03256603,0.01167556],"study_design_scores_gemma":[0.001054063,0.00005994335,0.003222693,0.0002330138,0.000006363108,0.0001262607,0.0008373257,0.5204152,0.00002891418,0.0004194332,0.4730307,0.0005661545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004682223,0.0002012874,0.7573123,0.0001494453,0.001634466,0.000315479,0.000001815815,0.0003600242,0.235343],"genre_scores_gemma":[0.9890304,0.000003334072,0.008597699,0.0002024241,0.0001340525,0.000009422268,0.00000704461,0.00001149809,0.002004179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9843481,"threshold_uncertainty_score":0.7717732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120423004","doi":"10.1109/icpp.2002.1040858","title":"Integrating trust into grid resource management systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Grid computing; Distributed computing; Grid; Heuristics; Scheduling (production processes); Access control; Shared resource; Resource Management System; Grid system; Virtualization; Authentication (law); Computer security; Cloud computing; Key (lock); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01114668504223085,"gpt":0.2249534592471508,"spread":0.2138067742049199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007223462,0.000163888,0.0001815667,0.00009144357,0.0001920952,0.0004801278,0.0008532865,0.00004884021,0.0000106909],"category_scores_gemma":[0.00002472992,0.0001325522,0.00006215014,0.0004677778,0.00001777397,0.0001645054,0.0001599919,0.0001135982,0.0001794252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006173852,"about_ca_system_score_gemma":0.00002045437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009054063,"about_ca_topic_score_gemma":0.000003118058,"domain_scores_codex":[0.9984367,0.0001917458,0.0003393342,0.0004140207,0.0002958749,0.0003223496],"domain_scores_gemma":[0.9990415,0.00006087844,0.00009559242,0.0006504498,0.00004657684,0.0001049912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.021474e-7,0.0000278822,0.0003831588,0.00006219804,0.00002651218,0.00002714022,0.0004236775,0.003243276,0.0000112255,0.9679127,0.0241493,0.00373208],"study_design_scores_gemma":[0.000320627,0.000050936,0.0001107481,0.0001221333,0.00000569157,0.00006789983,0.001119576,0.1000432,0.00005873065,0.001219745,0.8965606,0.0003200981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009652379,0.0001676622,0.6714926,0.00008174329,0.0009197473,0.0001573924,5.155625e-7,0.0003113599,0.3259037],"genre_scores_gemma":[0.9493689,0.00000258714,0.04242886,0.0001669174,0.000118326,0.00002095957,0.000005783883,0.000009997385,0.007877681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.966693,"threshold_uncertainty_score":0.5405321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1491144867","doi":"10.26180/20707942","title":"A taxonomy and survey of grid resource management systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Taxonomy (biology); Computer science; Resource management (computing); Variety (cybernetics); Grid computing; Component (thermodynamics); Grid; Data science; Knowledge management; Database; Distributed computing; Artificial intelligence; Geography; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03667846695061484,"gpt":0.2171712009955057,"spread":0.1804927340448908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104533,0.00007058225,0.0001441576,0.000068583,0.0001228972,0.00007496499,0.0005990659,0.00001039961,0.000007844344],"category_scores_gemma":[0.000004445737,0.0000663335,0.00001964993,0.0003600461,0.00001456842,0.00004900179,0.0008073804,0.00005782572,0.000003651342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064292,"about_ca_system_score_gemma":0.00001446726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008595412,"about_ca_topic_score_gemma":0.000005458512,"domain_scores_codex":[0.998868,0.000296847,0.0002187946,0.0002410133,0.0002327518,0.0001425321],"domain_scores_gemma":[0.9993689,0.00008898613,0.00009902343,0.0003713752,0.00002844006,0.00004324222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004464512,0.0003496788,0.06614362,0.0005602477,0.0002981718,0.0001008568,0.0008762651,0.100999,0.00001899258,0.4848328,0.3240363,0.0217394],"study_design_scores_gemma":[0.0005277192,0.0001590536,0.04573306,0.00002526995,0.000005644659,0.00006881752,0.000390544,0.1707002,0.00000478413,0.00005061267,0.7820836,0.0002507048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02099457,0.0007466159,0.9016085,0.0001178375,0.001030921,0.0006929184,0.00006412906,0.000205855,0.07453867],"genre_scores_gemma":[0.9967997,0.000001531391,0.00149506,0.00003933507,0.0000161316,0.00004905511,0.00001628813,0.000003126246,0.001579772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9758052,"threshold_uncertainty_score":0.2705002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158013263","doi":"10.1016/j.future.2010.05.010","title":"Perspectives on grid computing","year":2010,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Universität Wien; Universiteit van Amsterdam; Universität Stuttgart; Indian Council of Agricultural Research; University of Alberta; Technische Universität Kaiserslautern","keywords":"Computer science; Grid; Cloud computing; Grid computing; Semantic grid; DRMAA; Distributed computing; Service (business); Subject (documents); Data science; World Wide Web; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01224878360302467,"gpt":0.2312703708236881,"spread":0.2190215872206634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006576104,0.0003409119,0.0003494965,0.0001940496,0.0004756572,0.001253632,0.001179883,0.000201379,0.000007046467],"category_scores_gemma":[0.00001291861,0.0002996639,0.0001372862,0.000460909,0.00003175624,0.0003251387,0.000201481,0.0005074131,0.0002231527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005163882,"about_ca_system_score_gemma":0.00008337565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002502166,"about_ca_topic_score_gemma":0.000008555966,"domain_scores_codex":[0.9973814,0.0002533948,0.0005150476,0.000882627,0.000536116,0.0004313861],"domain_scores_gemma":[0.9980663,0.00009096396,0.0002648252,0.001070862,0.0003214332,0.0001856308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003862962,0.0001443871,0.0002039556,0.00003467407,0.00006119706,0.00002821172,0.004387352,0.04529148,0.001499608,0.4788502,0.4621457,0.007349438],"study_design_scores_gemma":[0.0003300565,0.0001324096,0.000358281,0.0000300559,0.000003379342,0.0001455842,0.0001425696,0.6848611,0.00007786095,0.000008261877,0.3135482,0.0003622243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01298755,0.0002935385,0.7944437,0.0007899718,0.1896223,0.0003018126,0.000009259575,0.0005971466,0.000954697],"genre_scores_gemma":[0.6740024,0.000004345811,0.05152046,0.0003299377,0.2738364,0.00001509766,0.00006619261,0.0000252637,0.0001998191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7429232,"threshold_uncertainty_score":0.9999455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049047048","doi":"10.1145/376134.376180","title":"More testing should be taught","year":2001,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"Queen (butterfly); Citation; Library science; Engine department; Operations research; History; Computer science; Engineering; Engineering management","retraction":null,"screen_n_in":null,"score":{"opus":0.1874437479503524,"gpt":0.343054497838024,"spread":0.1556107498876716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0002911252,0.00007249101,0.0001041085,0.00002574504,0.0003073182,0.0000560333,0.04714246,0.00003439655,0.000001683156],"category_scores_gemma":[0.003944966,0.00005400248,0.00006314076,0.0007328868,0.000116346,0.0001402973,0.02173767,0.0001536282,0.00001083462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001262313,"about_ca_system_score_gemma":0.00004699708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015433,"about_ca_topic_score_gemma":0.00001126939,"domain_scores_codex":[0.9992273,0.0001317354,0.0002230784,0.0001244697,0.0001599529,0.0001334962],"domain_scores_gemma":[0.9691368,0.0005092707,0.0001595723,0.03003153,0.0001374248,0.00002540733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009735803,0.0008424128,0.08430163,0.00008078914,0.0001669264,0.000004537733,0.00955702,0.0114504,0.003920781,0.4734712,0.3876977,0.0284969],"study_design_scores_gemma":[0.0004664744,0.0000628108,0.02603576,0.000320275,0.00002816475,0.0001392019,0.0002545022,0.1472811,0.0006737721,0.1115225,0.7128028,0.0004126051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0610424,0.003594949,0.1041569,0.685,0.0009515581,0.0007455742,0.00003173457,0.0007761924,0.1437007],"genre_scores_gemma":[0.7826123,0.00001970899,0.2166541,0.0004310818,0.00001818112,0.000007081147,0.000004009682,0.0000041795,0.0002493364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7215699,"threshold_uncertainty_score":0.9861743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102646063","doi":"10.1109/hpcs.2005.27","title":"Genetic Algorithm Based Scheduler for Computational Grids","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Distributed computing; Grid; Grid computing; Directed acyclic graph; USable; Scalability; Scheduling (production processes); Job scheduler; Network scheduler; Quality of service; Workload; Parallel computing; Algorithm; Cloud computing; Operating system; Computer network; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.01453250461979833,"gpt":0.2501142157004057,"spread":0.2355817110806073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849227,0.0001093993,0.0001160375,0.00005894769,0.0001134204,0.0001594231,0.0005214164,0.00004354136,0.00002831305],"category_scores_gemma":[0.00001019151,0.00009864278,0.00007937339,0.0001776373,0.00001713433,0.000130555,0.00005351757,0.0000466981,0.0001401554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916773,"about_ca_system_score_gemma":0.0001016205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006201974,"about_ca_topic_score_gemma":0.000001048289,"domain_scores_codex":[0.9990067,0.00003022523,0.0002191389,0.0002924886,0.000207878,0.0002435017],"domain_scores_gemma":[0.9993445,0.0001398638,0.00005221349,0.0002461143,0.0001319185,0.00008539287],"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":[0.000002113387,0.00009685868,0.0002027456,0.00001412334,0.00001756193,0.000001888008,0.00004365905,0.7695865,0.000009462478,0.03556045,0.02072132,0.1737433],"study_design_scores_gemma":[0.0004915771,0.00004275725,0.001593017,0.000007220024,0.000002112725,0.000008696266,0.000001681352,0.9326704,0.00004545206,0.001403113,0.06359789,0.0001361409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007620417,0.00005585324,0.9957313,0.001372825,0.0003070052,0.0001916372,0.00001265917,0.000255872,0.001310818],"genre_scores_gemma":[0.3066469,1.305711e-7,0.6920235,0.0007367654,0.0002452125,0.00001580105,0.00001777148,0.000004994748,0.0003089537],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3058848,"threshold_uncertainty_score":0.4022536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074531772","doi":"10.1511/2006.1.5","title":"Where’s the Real Bottleneck in Scientific Computing?","year":2005,"lang":"en","type":"article","venue":"American Scientist","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":78,"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":"Bottleneck; Compiler; Rewriting; Debugging; Computer science; Software; Parallel computing; Programming language; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.009970173720766902,"gpt":0.2630287376240161,"spread":0.2530585639032492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00201477,0.0001713059,0.0002343619,0.0001898058,0.0005763148,0.001295057,0.002456999,0.00002424251,0.00001144906],"category_scores_gemma":[0.00003624913,0.0001287317,0.00008490995,0.002942504,0.0008885281,0.0003286718,0.0004895936,0.0001883643,0.0003913258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151894,"about_ca_system_score_gemma":0.0001584071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000983909,"about_ca_topic_score_gemma":0.00154791,"domain_scores_codex":[0.9973552,0.0002557815,0.0003895783,0.0007394921,0.0006170301,0.000642906],"domain_scores_gemma":[0.9983069,0.0001559399,0.0002300411,0.001078863,0.00009687413,0.0001313942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008728233,0.0005153423,0.1001334,0.00003493444,0.00003634259,0.00007608832,0.008477853,0.02099178,0.001004,0.097759,0.1732889,0.5976736],"study_design_scores_gemma":[0.000470243,0.00008726028,0.1198658,0.00008635794,0.000004482256,0.00005871596,0.0002776013,0.333516,0.00007341181,0.000258507,0.5448164,0.0004852688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6350425,0.0004430138,0.3311585,0.008413123,0.003697473,0.0004330147,0.00001483162,0.0004997127,0.02029774],"genre_scores_gemma":[0.988656,0.000006945384,0.009067216,0.0003364535,0.0001873791,0.000004554261,0.000005045245,0.000008303922,0.001728142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5971884,"threshold_uncertainty_score":0.9997417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163343169","doi":"","title":"ATLAS computing: Technical Design Report","year":2005,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Atlas (anatomy); Computer science; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02279576103091625,"gpt":0.2170807214703471,"spread":0.1942849604394308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004511933,0.0002354128,0.0002594503,0.000843828,0.001055148,0.0002751485,0.002603424,0.000196099,0.00003497362],"category_scores_gemma":[0.00006231409,0.000298459,0.0001755468,0.003047793,0.0001535571,0.001444116,0.000797973,0.0003148272,0.0001756838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005837653,"about_ca_system_score_gemma":0.0004321973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000818731,"about_ca_topic_score_gemma":0.0000458826,"domain_scores_codex":[0.9978603,0.000252716,0.0002525662,0.0007918504,0.0003493178,0.0004932742],"domain_scores_gemma":[0.9974895,0.0002438986,0.0002843669,0.001234485,0.0004079555,0.0003398202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009974859,0.0001931693,0.0002896831,0.000005638186,0.00004652235,0.0001641812,0.0001705766,0.004437733,0.00005775717,0.9663478,0.02709669,0.001180341],"study_design_scores_gemma":[0.000518324,0.00004296878,0.0008899815,0.00001581785,0.00003178907,0.0002393555,0.0001328804,0.0267917,0.00001868313,0.0001413899,0.9708453,0.0003318167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0004459159,0.00001136219,0.5672518,0.002928695,0.0001121421,0.0001790952,0.000007132216,0.0006877064,0.4283762],"genre_scores_gemma":[0.1043519,0.00002088474,0.1653318,0.0001713263,0.0002457068,2.691813e-7,0.000134431,0.00002203355,0.7297217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9662063,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1549003144","doi":"","title":"PVFS: A Parallel Virtual File System for Linux Clusters","year":2000,"lang":"en","type":"article","venue":"Linux journal","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Virtual file system; Computer science; Operating system; File system; Parallel computing; Self-certifying File System; SSH File Transfer Protocol","retraction":null,"screen_n_in":null,"score":{"opus":0.01256045251850988,"gpt":0.2295014457337856,"spread":0.2169409932152757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007273444,0.0002465615,0.0003596923,0.0001076437,0.0005085849,0.00077192,0.001430307,0.0001374951,0.0003513826],"category_scores_gemma":[0.00004300875,0.0002121929,0.000296562,0.0002815965,0.00003259887,0.0004099632,0.00008561115,0.0003572557,0.0004301406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186727,"about_ca_system_score_gemma":0.0001871363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001117138,"about_ca_topic_score_gemma":0.000002311286,"domain_scores_codex":[0.9977473,0.0001621554,0.0006600338,0.0003911995,0.000415538,0.0006237582],"domain_scores_gemma":[0.9985178,0.0002707686,0.0002588592,0.0004713997,0.0001605786,0.0003205914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002382522,0.0002623714,0.000117498,0.0001790358,0.0002972608,0.0003473321,0.004058949,0.1061856,0.00005291239,0.01579163,0.6846621,0.1878071],"study_design_scores_gemma":[0.002376277,0.0006262427,0.0001898278,0.0005214126,0.00002520095,0.002739303,0.0003255411,0.5084383,0.00002450057,0.0007190352,0.4834458,0.0005685358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007806643,0.0002897451,0.9800883,0.0006848074,0.00249054,0.0003511322,0.0001459159,0.0003674861,0.007775455],"genre_scores_gemma":[0.9322269,0.00002402494,0.05411902,0.0005639023,0.002894858,0.00005248936,0.00006562279,0.00003955587,0.0100136],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9259692,"threshold_uncertainty_score":0.8652976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108006252","doi":"10.1109/cse.2010.48","title":"Implementation of a Medical Image File Accessing System on Cloud Computing","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Chung Shan Medical University Hospital","keywords":"Cloud computing; Computer science; Field (mathematics); Data sharing; Image sharing; Health care; Data science; Medical record; World Wide Web; Knowledge management; Image (mathematics); Artificial intelligence; Medicine; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01591522510120957,"gpt":0.3189587286900109,"spread":0.3030435035888013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887204,0.0001112087,0.0001880648,0.00007263586,0.0001216194,0.0002032601,0.001093624,0.00008162681,0.0003828314],"category_scores_gemma":[0.00004185488,0.0000921534,0.00006195099,0.0002703282,0.00004031553,0.0001731278,0.0002792115,0.0002097705,0.00006067759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000194425,"about_ca_system_score_gemma":0.0001208688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003772525,"about_ca_topic_score_gemma":0.00003696575,"domain_scores_codex":[0.9982961,0.00008303784,0.0004204786,0.0002767601,0.000686931,0.0002367395],"domain_scores_gemma":[0.9989511,0.0002413701,0.0002150659,0.0003884402,0.00009124808,0.0001127208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008825699,0.0002041433,0.002888834,0.0005051255,0.00007419777,0.00008447076,0.002994417,0.0002332461,0.005046442,0.7199292,0.09831224,0.1697189],"study_design_scores_gemma":[0.001311762,0.000176589,0.01227053,0.0005413137,0.000008672399,0.0001688875,0.001781096,0.9694347,0.006452951,0.0001979626,0.007204596,0.0004509345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140103,0.000004295983,0.773899,0.0003777754,0.001609173,0.0001296621,0.00002188691,0.000314563,0.00963338],"genre_scores_gemma":[0.9822494,1.299286e-7,0.0173361,0.00008060209,0.0002818969,0.000002342476,0.00001878791,0.000005789062,0.00002498457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9692014,"threshold_uncertainty_score":0.4191735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999515312","doi":"10.3390/ijgi4010320","title":"Categorization and Conversions for Indexing Methods of Discrete Global Grid Systems","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Search engine indexing; Computer science; Categorization; Grid; Interoperability; Index (typography); Data mining; Information retrieval; Database index; Artificial intelligence; Mathematics; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02109784320107986,"gpt":0.3373001400838812,"spread":0.3162022968828013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243144,0.00008489741,0.0001730388,0.0001710182,0.00004753764,0.0002708011,0.0005439331,0.00005688205,6.628032e-7],"category_scores_gemma":[0.0003193685,0.00007314194,0.00006679448,0.000148413,0.00002346233,0.002763518,0.0001024474,0.00006823849,0.000002722139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370387,"about_ca_system_score_gemma":0.0001781867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000713855,"about_ca_topic_score_gemma":4.862855e-7,"domain_scores_codex":[0.9985823,0.00008235182,0.0006974743,0.00005929731,0.0004745116,0.0001040611],"domain_scores_gemma":[0.9969821,0.0001078899,0.0009886395,0.00009673628,0.001726059,0.0000986058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004715574,0.00009905615,0.01132172,0.0003121014,0.000743699,0.000008608313,0.01296436,0.1826573,0.0001992625,0.673046,0.01997676,0.09819956],"study_design_scores_gemma":[0.003152811,0.0004100316,0.002485871,0.0003002176,0.00004119318,0.0005498155,0.001782695,0.890192,0.0003649544,0.006110002,0.09435215,0.0002582061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004252177,0.00009891599,0.9893107,0.00046029,0.005018539,0.0001313333,0.00006634547,0.00001670594,0.0006450134],"genre_scores_gemma":[0.9571057,0.00001126961,0.04251743,0.00007177656,0.0002207637,0.000002480172,0.00005803201,0.000001928463,0.0000106031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9528536,"threshold_uncertainty_score":0.2982642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105705286","doi":"10.1109/tpds.2003.1195413","title":"Dynamic querying of streaming data with the dQUOB system","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Arkansas High Performance Computing Center, University of Arkansas; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Data stream mining; Query language; Visualization; Data visualization; Relational database; Abstraction; Data modeling; Database; Data mining; Distributed computing","retraction":null,"screen_n_in":null,"score":{"opus":0.02001847012196932,"gpt":0.2358886930548259,"spread":0.2158702229328566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007403462,0.0003181533,0.0004619658,0.0001010802,0.0005492215,0.0002898855,0.001154197,0.000114976,0.000001448861],"category_scores_gemma":[0.000007902046,0.0002087693,0.00007170457,0.0006355217,0.0001124874,0.0003535369,0.00001204642,0.0002602183,0.00001044764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007453354,"about_ca_system_score_gemma":0.0001252777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00024015,"about_ca_topic_score_gemma":0.00003693147,"domain_scores_codex":[0.997568,0.0003928721,0.0004888038,0.0006675564,0.0004652574,0.0004175876],"domain_scores_gemma":[0.9974414,0.0003396178,0.0003147885,0.001619949,0.0001382664,0.0001460096],"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":[0.00004843009,0.0002166043,0.0001057937,0.0004561235,0.0002798604,0.00003479023,0.000401158,0.9812349,0.0001183117,0.01455756,0.0005650817,0.00198135],"study_design_scores_gemma":[0.001238044,0.0002080889,0.0002317,0.0005602472,0.00009103796,0.0005393577,0.002572791,0.9901235,0.00003817473,0.00001738146,0.003921105,0.0004586374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01090757,0.0005357959,0.9859736,0.0001166935,0.000639093,0.000485898,0.0006022399,0.0002296194,0.0005094876],"genre_scores_gemma":[0.9982698,0.00001843434,0.001418013,0.00001129921,0.00001450516,0.0000459194,0.00006109458,0.00001709329,0.0001438328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873623,"threshold_uncertainty_score":0.8513364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W145234988","doi":"10.28945/1363","title":"Unstructured vs. Structured Use of Laptops in Higher Education","year":2011,"lang":"en","type":"article","venue":"Journal of Information Technology Education Innovations in Practice","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multidisciplinary approach; Engineering ethics; Association (psychology); Sociology; Medical education; Political science; Library science; Psychology; Computer science; Medicine; Social science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03040094896518923,"gpt":0.2871307046542749,"spread":0.2567297556890857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007028225,0.0001175509,0.000220823,0.003074175,0.00004544711,0.0000828136,0.0006857378,0.0002140814,0.00002905621],"category_scores_gemma":[0.001343028,0.0001151187,0.00003101817,0.004475584,0.00005896279,0.006736178,0.00006753179,0.0004831974,0.000006236356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827733,"about_ca_system_score_gemma":0.001497029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007041153,"about_ca_topic_score_gemma":0.000004694564,"domain_scores_codex":[0.9978665,0.00009706574,0.00154373,0.0000983292,0.000251972,0.0001424663],"domain_scores_gemma":[0.994843,0.0001335855,0.002442907,0.000395632,0.002156684,0.00002817777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004232551,0.0003613484,0.0130463,0.00003340776,0.00002677399,8.171044e-7,0.002774242,0.0004704412,0.00007751196,0.8838167,0.002275284,0.0970748],"study_design_scores_gemma":[0.002156103,0.0005018667,0.4462038,0.000748486,0.00005538596,0.001299385,0.008085896,0.001988629,0.003153769,0.1036385,0.4314685,0.0006996735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4783626,0.0004371094,0.4428586,0.03127042,0.01929154,0.001384939,0.0000222561,0.0002622015,0.02611034],"genre_scores_gemma":[0.8233889,0.00001590259,0.1758745,0.0005912709,0.00004331116,0.00001153408,0.00001129385,0.000003511912,0.00005981657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7801782,"threshold_uncertainty_score":0.4883567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137904986","doi":"10.1109/vrais.1993.380743","title":"The MR Toolkit Peers Package and experiment","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Tehran University of Medical Sciences and Health Services; University of Alberta","keywords":"Computer science; Process (computing); R package; The Internet; Multiprocessing; Extension (predicate logic); Peer-to-peer; World Wide Web; Human–computer interaction; Programming language; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02062763612186832,"gpt":0.2240917641096201,"spread":0.2034641279877518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171345,0.00007148683,0.00006343433,0.00001182271,0.0002245704,0.0003858354,0.0004475543,0.00001990932,0.00002177019],"category_scores_gemma":[0.000011362,0.00004321314,0.00002455177,0.00009601315,0.00003035811,0.0001006536,0.0001467228,0.00004520561,0.000120348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000107888,"about_ca_system_score_gemma":0.000004013211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532165,"about_ca_topic_score_gemma":0.000001370043,"domain_scores_codex":[0.9993331,0.00003835697,0.0001114125,0.0001778231,0.0001522869,0.0001870093],"domain_scores_gemma":[0.9994484,0.00008998116,0.00002786519,0.0003533978,0.00001996446,0.00006034662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002170487,0.00007736909,0.000728245,0.00001096108,0.00004269354,0.00002631455,0.004447473,0.0000965397,0.0004467952,0.5892166,0.3251957,0.07970913],"study_design_scores_gemma":[0.0004425948,0.0001209067,0.0008857721,0.00001789723,0.000002794797,0.0000651317,0.0003147522,0.2232957,0.001104835,0.00130184,0.7721201,0.0003276567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03275635,0.003128062,0.7888303,0.008053083,0.001163791,0.0002602542,0.000001766065,0.0004760436,0.1653304],"genre_scores_gemma":[0.9896591,0.00002509977,0.002145442,0.0001885878,0.00004752302,0.000005024473,3.662906e-7,0.000002592749,0.007926301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569027,"threshold_uncertainty_score":0.372062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990457001","doi":"10.1109/clustr.2003.1253294","title":"Parallel job scheduling on multicluster computing system","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed computing; Job scheduler; Dynamic priority scheduling; Scheduling (production processes); Fair-share scheduling; Rate-monotonic scheduling; Computer cluster; Two-level scheduling; Job shop scheduling; Cluster (spacecraft); Processor scheduling; Parallel computing; Schedule; Computer network; Operating system; Mathematical optimization; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.02166491444573395,"gpt":0.2473092444353855,"spread":0.2256443299896516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007834674,0.0002344731,0.0002729567,0.0000986165,0.0002826695,0.0003640022,0.000797226,0.0000896986,0.000007699717],"category_scores_gemma":[0.00006356789,0.0001969099,0.0001107717,0.0003660071,0.00002036974,0.0001740792,0.0001341622,0.0001918922,0.0006300061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008735107,"about_ca_system_score_gemma":0.00005279502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002400028,"about_ca_topic_score_gemma":0.000001579121,"domain_scores_codex":[0.9978817,0.0002575731,0.0004193618,0.0005588302,0.0003660263,0.0005164733],"domain_scores_gemma":[0.9986979,0.0002227777,0.0001261003,0.0006970697,0.00009346232,0.0001626524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003697288,0.00005583584,0.001904781,0.00006699037,0.00002951984,0.00003886632,0.0003887476,0.1059273,0.00005554744,0.8891687,0.0008047219,0.001555228],"study_design_scores_gemma":[0.0007172512,0.00006640202,0.0008885509,0.0001785554,0.000003827728,0.00009878998,0.0002241657,0.993254,0.00009722664,0.0001490345,0.00398591,0.0003362649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0300397,0.00004939207,0.8760194,0.0001191782,0.00107332,0.0001877263,7.135775e-7,0.0007519124,0.09175862],"genre_scores_gemma":[0.8704807,3.632161e-7,0.1286069,0.0003010278,0.00009017215,0.000003276954,0.000001392968,0.0000119626,0.0005042002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8890197,"threshold_uncertainty_score":0.8097664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101904280","doi":"10.1148/rg.287085174","title":"Image Exchange: IHE and the Evolution of Image Sharing","year":2008,"lang":"en","type":"article","venue":"Radiographics","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Confidentiality; The Internet; Medicine; Health care; Data sharing; Image sharing; Process (computing); Information exchange; Data exchange; Internet privacy; Health information exchange; Knowledge management; World Wide Web; Data science; Image (mathematics); Computer science; Artificial intelligence; Computer security; Telecommunications; Pathology; Health information","retraction":null,"screen_n_in":null,"score":{"opus":0.01268556948358069,"gpt":0.2225978684761885,"spread":0.2099122989926078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000633079,0.0001034647,0.0001843576,0.0001509411,0.0002244074,0.00007006717,0.0006565914,0.00004676593,0.000001352563],"category_scores_gemma":[0.00003508414,0.00007439058,0.0001096474,0.0008728069,0.0003804562,0.000228008,0.0002026879,0.000124902,0.000002835315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608285,"about_ca_system_score_gemma":0.00002791776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206911,"about_ca_topic_score_gemma":0.00000483886,"domain_scores_codex":[0.9990315,0.00009155118,0.0002163207,0.0002429922,0.0002241383,0.0001934591],"domain_scores_gemma":[0.9991227,0.0001219559,0.0001241176,0.0004879042,0.00009258994,0.00005066792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009869786,0.0002418827,0.08913434,0.0005637171,0.0003252886,0.000139033,0.01617415,0.000262672,0.003105095,0.8675709,0.01796222,0.004422011],"study_design_scores_gemma":[0.005756915,0.0001855926,0.1257754,0.0002352216,0.0000686421,0.00124054,0.0003018604,0.8303892,0.000237318,0.02435366,0.01060271,0.0008529066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260565,0.003663115,0.8652629,0.0005043027,0.0003388345,0.0002310257,0.000007558649,0.0001502689,0.003785505],"genre_scores_gemma":[0.9907393,0.0002535627,0.008830231,0.00002997359,0.00007532074,0.000005999,0.000002221797,0.000005633549,0.00005777012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8646828,"threshold_uncertainty_score":0.303356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392902389","doi":"10.1109/mnet.2024.3376419","title":"NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services","year":2024,"lang":"en","type":"article","venue":"IEEE Network","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Provisioning; Computer network; Architecture; Computer architecture; Next-generation network; Intelligent Network; Distributed computing; Telecommunications; World Wide Web; The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.01457279317568411,"gpt":0.2750303327854273,"spread":0.2604575396097432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007763072,0.0003475372,0.0003757374,0.00006266433,0.0005672705,0.001163078,0.001004855,0.0001497696,0.000005417025],"category_scores_gemma":[0.00000694325,0.0002899774,0.0001887672,0.0008641613,0.00005756633,0.0004470132,0.0001307479,0.0003601611,0.00002342601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005654938,"about_ca_system_score_gemma":0.0001623824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002700655,"about_ca_topic_score_gemma":0.00006736613,"domain_scores_codex":[0.9973131,0.0002806728,0.0003687964,0.0008905481,0.0003581094,0.000788711],"domain_scores_gemma":[0.9986165,0.0004303519,0.0001223258,0.0004766443,0.0001637781,0.0001904387],"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":[0.00005301546,0.00003033823,0.00007372154,0.0001683055,0.0001642019,0.00003540205,0.007381666,0.8385975,0.00003923557,0.04952002,0.08822122,0.01571537],"study_design_scores_gemma":[0.0002873259,0.0002434587,0.00005453022,0.0004068286,0.00002231419,0.0000293205,0.00004270045,0.7312155,0.00002003901,0.04697039,0.220343,0.0003645308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003587206,0.004056971,0.9776517,0.0009828978,0.01083998,0.0007480642,0.00003295629,0.0007264238,0.001373839],"genre_scores_gemma":[0.8356357,0.00002339727,0.10883,0.004826191,0.0477978,0.0003228392,0.000302927,0.0001159092,0.002145266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8688217,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150661104","doi":"10.1109/ccgrid.2006.85","title":"Replica placement design with static optimality and dynamic maintainability","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Replica; Maintainability; Computer science; Metric (unit); Performance metric; Distributed computing; Static analysis; Dynamic data; Parallel computing; Real-time computing; Engineering; Programming language; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007633508363297997,"gpt":0.2197745063271998,"spread":0.2121409979639018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007218082,0.0001270612,0.0001493814,0.00002799397,0.0001107213,0.0001907666,0.0002973071,0.00002681584,0.000006316722],"category_scores_gemma":[0.00001096836,0.00009304759,0.00001823211,0.0001814958,0.00005510654,0.0001350992,0.0001181615,0.00006052301,0.000007475895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007932811,"about_ca_system_score_gemma":0.00006696273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002709447,"about_ca_topic_score_gemma":0.00002032499,"domain_scores_codex":[0.9987298,0.000144606,0.0002168984,0.0004499525,0.0001961933,0.0002625725],"domain_scores_gemma":[0.9991211,0.0001317158,0.00007054517,0.0005483608,0.00006305494,0.00006520826],"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":[0.0001974303,0.0008216413,0.02313043,0.0003658996,0.0001053515,0.0001519587,0.0007830281,0.553822,0.0002350083,0.3992937,0.01107858,0.01001488],"study_design_scores_gemma":[0.0005987806,0.0003649079,0.02312523,0.0000247806,0.000006879415,0.00006945584,0.00005773086,0.9633129,0.00007203815,0.01112861,0.0009545602,0.0002841595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05522046,0.000025176,0.941458,0.000578983,0.00003088356,0.000316324,0.000002067475,0.0002069842,0.002161087],"genre_scores_gemma":[0.8227968,4.628275e-7,0.1766874,0.00006546439,0.000007258081,0.00001391724,0.000004174819,0.000003624968,0.0004209396],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7675763,"threshold_uncertainty_score":0.3794371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2912836959","doi":"","title":"Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering","year":2016,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; IBM (Canada)","funders":"","keywords":"Computer science; Cyber-physical system; Context (archaeology); Theme (computing); Cognition; Data science; Science and engineering; Software; Software engineering; Human–computer interaction; Engineering ethics; World Wide Web; Engineering; Psychology; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01152952920409485,"gpt":0.2122984893501712,"spread":0.2007689601460764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018216,0.00007470766,0.00007571656,0.00006263375,0.00006317631,0.0001223081,0.001112231,0.00001958001,0.000003827176],"category_scores_gemma":[0.00009189411,0.00003812498,0.00001835293,0.0002449136,0.0001159765,0.0003495783,0.0004608928,0.00004150083,0.000004472722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520246,"about_ca_system_score_gemma":0.00006170972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004288568,"about_ca_topic_score_gemma":2.215832e-7,"domain_scores_codex":[0.9990799,0.000003320657,0.0001251569,0.0002440875,0.0004020556,0.0001454373],"domain_scores_gemma":[0.9992712,0.0000483653,0.00006404051,0.000135251,0.0004332508,0.00004789596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004282796,0.00004024656,0.01029624,0.00002369977,0.00001589999,8.163327e-7,0.0006945941,0.0001473875,0.00674384,0.9440511,0.003181489,0.03480033],"study_design_scores_gemma":[0.001897585,0.0005361324,0.2420081,0.001706881,0.000009497108,0.0001808402,0.0001009313,0.7059978,0.02474028,0.003610675,0.01824783,0.0009633623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1913569,0.000005707254,0.8024198,0.001973541,0.001104338,0.0001374933,0.0000136703,0.0001672265,0.002821236],"genre_scores_gemma":[0.9870104,9.888887e-7,0.01268975,0.00008389685,0.00005266763,0.000001595405,7.303569e-8,0.000002154741,0.0001584229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9404405,"threshold_uncertainty_score":0.2066821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966659084","doi":"10.1016/j.jpdc.2008.07.013","title":"Replica selection strategies in data grid","year":2008,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":56,"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":"Replica; Computer science; Latency (audio); Grid; File transfer; Artificial neural network; Data mining; Transfer (computing); Parallel computing; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04508819402732072,"gpt":0.2830807135493802,"spread":0.2379925195220595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023569,0.0001966191,0.000434603,0.0001777185,0.0002421152,0.0002204527,0.001298363,0.00009024654,0.000001979045],"category_scores_gemma":[0.0001195146,0.0001726169,0.00006794719,0.0006854771,0.00007619177,0.0009601902,0.0004886104,0.000405987,0.000003482033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294173,"about_ca_system_score_gemma":0.0002727761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005703259,"about_ca_topic_score_gemma":0.000009809695,"domain_scores_codex":[0.9978066,0.0001703965,0.0008898985,0.0003984137,0.0003610872,0.0003735997],"domain_scores_gemma":[0.9983523,0.0001942927,0.0006179647,0.0004738317,0.0002055118,0.0001561139],"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":[0.0002746205,0.001106387,0.1740779,0.000263797,0.0003743085,0.002484524,0.005145523,0.6897491,0.0006675635,0.03971187,0.06669535,0.01944909],"study_design_scores_gemma":[0.002066763,0.000259484,0.110709,0.0002494123,0.00001697149,0.00685657,0.0004607577,0.8647563,0.00001490161,0.002219346,0.011932,0.000458402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107173,0.0006475617,0.7875155,0.0003657748,0.0003946125,0.00007103684,0.00001630931,0.0000576996,0.0002141515],"genre_scores_gemma":[0.97643,0.00007649716,0.02301422,0.00004784814,0.0003704045,4.077994e-7,0.00004297421,0.000006657863,0.00001097488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7657127,"threshold_uncertainty_score":0.7039113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020555424","doi":"","title":"Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; University of Alberta; National Research Council Canada; IBM (Canada)","funders":"","keywords":"IBM; Enthusiasm; Library science; General partnership; Event (particle physics); Political science; Media studies; Public relations; Management; Engineering; Sociology; Computer science; Psychology; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.077952346528069,"gpt":0.348827271783449,"spread":0.27087492525538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005822249,0.00007582071,0.0001552723,0.00003116195,0.0001632193,0.00004699763,0.0009824216,0.000025648,6.804142e-7],"category_scores_gemma":[0.0001481856,0.00003620749,0.00005428688,0.0007175387,0.0001774181,0.00008615204,0.0002738464,0.00008186266,0.000001118928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002566088,"about_ca_system_score_gemma":0.00008821409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002036023,"about_ca_topic_score_gemma":0.00002778776,"domain_scores_codex":[0.9989445,0.00005026985,0.0002504896,0.0001937024,0.0003801716,0.000180869],"domain_scores_gemma":[0.9974174,0.0002419574,0.0001817057,0.0002251316,0.001921794,0.00001200822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002891169,0.0001412458,0.00310781,0.0001162518,0.00002960489,6.730566e-8,0.00175366,0.000975855,0.004797501,0.931054,0.05761527,0.0003798566],"study_design_scores_gemma":[0.004899066,0.001852483,0.03055891,0.002827649,0.000023247,0.000007280291,0.01073805,0.03710756,0.7211765,0.1043407,0.08573826,0.000730234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731506,0.0003271376,0.0140364,0.006852965,0.001514549,0.003258762,0.0001988629,0.00008827556,0.1005725],"genre_scores_gemma":[0.9964252,0.000001807994,0.001007498,0.00003340661,0.00002954727,0.00002842765,5.148013e-7,0.000002733533,0.002470889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8267133,"threshold_uncertainty_score":0.18256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1585104735","doi":"10.5555/1516124.1516135","title":"Interactive resource-intensive applications made easy","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":52,"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":"Computer science; Software deployment; Distributed computing; Animation; Middleware (distributed applications); Resource (disambiguation); Graphics; Software engineering; Operating system; Computer graphics (images); Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01445446841152303,"gpt":0.2697107438200693,"spread":0.2552562754085463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003502615,0.0001031834,0.0001162401,0.00008509358,0.0001099866,0.0001197018,0.0007147988,0.00004593212,0.00001388701],"category_scores_gemma":[0.00003658146,0.00008996759,0.00006018064,0.0003838235,0.00002659145,0.0001474357,0.0001926191,0.0001308458,0.0004393431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429984,"about_ca_system_score_gemma":0.00002377255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003713291,"about_ca_topic_score_gemma":0.000005674948,"domain_scores_codex":[0.9989823,0.00003246101,0.0002231769,0.0003139822,0.0001712621,0.0002768284],"domain_scores_gemma":[0.9988574,0.0002257771,0.00008519027,0.0004834658,0.0002352865,0.0001129174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003520567,0.0002041047,0.001527319,0.0000287078,0.0001185417,0.00007992889,0.003804456,0.0008513881,0.001567944,0.7905549,0.07940999,0.1218175],"study_design_scores_gemma":[0.0002854326,0.00006204622,0.003630878,0.00003259288,0.000004718671,0.0001260777,0.0008690879,0.01946614,0.001786708,0.002998579,0.9704266,0.0003112027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007194044,0.00003397109,0.8564937,0.0004623093,0.0001494018,0.0001688346,0.000001808987,0.0003154258,0.1416551],"genre_scores_gemma":[0.9796814,5.148429e-7,0.01374168,0.001193043,0.0001725158,0.00001263571,0.000009608691,0.000006138841,0.005182461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.978962,"threshold_uncertainty_score":0.5647013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149611697","doi":"10.1007/11942634_46","title":"Dynamic Virtual Clustering with Xen and Moab","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Computer science; Operating system; Virtual machine; Cluster analysis; Software; Workload; Overhead (engineering); Cluster (spacecraft); Distributed computing; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.007866975412079178,"gpt":0.2135521885573914,"spread":0.2056852131453122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005725358,0.000582174,0.0005701819,0.0005367389,0.0002831874,0.0009240472,0.002283308,0.0002616517,0.000003158756],"category_scores_gemma":[0.00001621387,0.0004872731,0.00006926239,0.0004672995,0.00057764,0.0004405107,0.001337169,0.0006397202,0.00001792293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139768,"about_ca_system_score_gemma":0.0003197825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000638136,"about_ca_topic_score_gemma":0.0001848614,"domain_scores_codex":[0.9963953,0.00003355103,0.0004661715,0.001576373,0.0008404848,0.0006881197],"domain_scores_gemma":[0.9980379,0.0002835092,0.0002779925,0.001083076,0.0001493688,0.0001681318],"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":[0.00001146013,0.00002683513,0.0001481735,0.00008022002,0.00002248747,0.000268825,0.0005804368,0.6568174,0.00003441251,0.007838852,0.0000631267,0.3341078],"study_design_scores_gemma":[0.0003503571,0.0002940824,0.0003141226,0.0005989683,0.000007021031,0.000327847,1.458242e-7,0.9866634,0.0000187229,0.009113888,0.001613024,0.0006984315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004746516,0.0003840435,0.9934143,0.0002764911,0.0008217696,0.0003198422,0.000008666796,0.0002407694,0.00405944],"genre_scores_gemma":[0.7875769,0.00001453386,0.2105507,0.0004065926,0.0002642896,0.000006414446,0.00001583834,0.00004550745,0.001119231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7871023,"threshold_uncertainty_score":0.9997579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120437663","doi":"10.1016/s0065-2458(04)63003-8","title":"Characterizing Resource Allocation Heuristics for Heterogeneous Computing Systems","year":2005,"lang":"en","type":"book-chapter","venue":"Advances in computers","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Advanced Micro Devices (Canada)","funders":"Office of Naval Research; Defense Advanced Research Projects Agency; Commission on Higher Education; Colorado State University","keywords":"Heuristics; Computer science; Resource allocation; Distributed computing; Computer network; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01847707330492351,"gpt":0.2582060105420586,"spread":0.2397289372371351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006080416,0.0006733384,0.0009195622,0.0003537681,0.0002246524,0.0004611852,0.001906778,0.00034853,0.000001425016],"category_scores_gemma":[0.00002891692,0.0007572541,0.0002480505,0.0001293443,0.00007768162,0.0004287669,0.0004629899,0.0004601648,0.00003720349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923335,"about_ca_system_score_gemma":0.00009553247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006160171,"about_ca_topic_score_gemma":0.000006118511,"domain_scores_codex":[0.9962823,0.00008095321,0.001217521,0.001218484,0.0004977595,0.0007029671],"domain_scores_gemma":[0.9968835,0.0007896118,0.0009713141,0.001009,0.0001869158,0.0001596617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002576371,0.00005304152,0.0000189314,0.0007389184,0.00009391763,0.00008794226,0.0005865671,0.5576717,0.000009663244,0.247179,0.002115304,0.1914192],"study_design_scores_gemma":[0.0003265592,0.00008795291,0.000003520899,0.001078096,0.00001069322,0.00008410091,0.000003878096,0.4048849,0.000004501088,0.0009479843,0.5920349,0.0005329068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002480898,0.008126283,0.9589499,0.0002473817,0.004240299,0.001007739,0.00005671682,0.0004600803,0.02688676],"genre_scores_gemma":[0.5673914,0.00317749,0.3325209,0.004343642,0.0160326,0.0002275989,0.002624138,0.0008397267,0.0728425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.626429,"threshold_uncertainty_score":0.9994878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023196182","doi":"10.1139/geomat-2019-0015","title":"Assessing the state of the art in Discrete Global Grid Systems: OGC criteria and present functionality","year":2020,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Geospatial analysis; Computer science; Implementation; Software; Grid; Scalability; Geographic information system; Software engineering; Database; Spatial database; Documentation; Spatial analysis; Data science; Systems engineering; Engineering; Geography; Operating system; Remote sensing","retraction":null,"screen_n_in":null,"score":{"opus":0.03006076086355432,"gpt":0.2915705207448065,"spread":0.2615097598812522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005883127,0.00008746903,0.0001604528,0.000007318458,0.00009348786,0.000372015,0.0005319469,0.00001886139,0.000002601158],"category_scores_gemma":[0.00008750299,0.00004858997,0.00003785202,0.0003014577,0.00006455884,0.0001929958,0.0003603066,0.00007555191,0.000008658104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002023413,"about_ca_system_score_gemma":0.00005303432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051204,"about_ca_topic_score_gemma":0.000004632289,"domain_scores_codex":[0.998647,0.0003942035,0.0003208218,0.000194871,0.0002809738,0.0001621248],"domain_scores_gemma":[0.9992769,0.0001588378,0.0001368332,0.0003354276,0.00004131852,0.00005066453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001155591,0.0006230132,0.2469644,0.007390576,0.0007643851,0.0001367681,0.0282492,0.2463141,0.001326654,0.210863,0.2245553,0.03269695],"study_design_scores_gemma":[0.0002188925,0.00002716666,0.1668538,0.0002111424,0.000008188948,0.00002841923,0.0001612845,0.8214825,0.00001433326,0.002869711,0.008010237,0.0001142701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3796527,0.0004522458,0.6006009,0.01381466,0.001381516,0.0005848766,0.00008619916,0.00009305514,0.003333793],"genre_scores_gemma":[0.9993217,0.000001075924,0.0004024195,0.0001427751,0.00008668414,0.000007053553,0.0000029985,0.000002165956,0.00003311555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.619669,"threshold_uncertainty_score":0.3587349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281639015","doi":"10.1088/1748-0221/18/07/p07053","title":"A “Cool” route to the Higgs boson and beyond. The Cool Copper Collider","year":2023,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"TRIUMF","funders":"Office of Science; U.S. Department of Energy","keywords":"Higgs boson; Physics; Collider; Particle physics; Superconducting Super Collider; Interoperability; Particle accelerator; Accelerator physics; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01811438360493578,"gpt":0.2692450746528589,"spread":0.2511306910479231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008551631,0.00007973369,0.0001136163,0.00007882804,0.0002290828,0.0003676622,0.0004887839,0.00002575267,0.000002852192],"category_scores_gemma":[0.00004425221,0.00004345912,0.0000486142,0.000563268,0.00002098798,0.0003046066,0.0001070422,0.0001237597,0.00004730164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004686408,"about_ca_system_score_gemma":0.00006550722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002436188,"about_ca_topic_score_gemma":0.000007082877,"domain_scores_codex":[0.998934,0.0001243178,0.0003240097,0.0001052169,0.0003622871,0.0001501444],"domain_scores_gemma":[0.9992495,0.0001352254,0.0002523999,0.0001746345,0.0001233009,0.00006494313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002339152,0.0001036572,0.03634236,0.00005809626,0.0003320621,0.00009280961,0.03959161,0.02873738,0.002862165,0.02537803,0.6828879,0.18338],"study_design_scores_gemma":[0.006441056,0.002064735,0.3784557,0.0004888508,0.0001494641,0.002072904,0.01302269,0.1972943,0.006686562,0.005446238,0.3869589,0.0009186448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386234,0.00006820849,0.0379704,0.02140913,0.001376486,0.0002108006,0.000006478479,0.00003372966,0.0003014239],"genre_scores_gemma":[0.9973007,0.00002187065,0.0009589726,0.00137118,0.0001891143,0.000004510584,0.000002746087,0.000004466171,0.0001463663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421134,"threshold_uncertainty_score":0.3545375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151173737","doi":"10.1109/ipdps.2002.1015664","title":"Distributed dynamic scheduling of composite tasks on grid computing systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Distributed computing; Dynamic priority scheduling; Scheduling (production processes); Fair-share scheduling; Queueing theory; Grid; Round-robin scheduling; Two-level scheduling; Grid computing; Rate-monotonic scheduling; Processor scheduling; Real-time computing; Computer network; Mathematical optimization; Quality of service; Resource (disambiguation)","retraction":null,"screen_n_in":null,"score":{"opus":0.01891750746306323,"gpt":0.2389024001397191,"spread":0.2199848926766558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000406912,0.000260528,0.0004529119,0.0001446317,0.0001981508,0.000251309,0.001174945,0.0001017491,0.00001050453],"category_scores_gemma":[0.00003232934,0.0002322753,0.0001340607,0.0006846708,0.00004922272,0.0001725769,0.0002510841,0.0002237305,0.0001597772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008822323,"about_ca_system_score_gemma":0.00001599061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007903494,"about_ca_topic_score_gemma":0.000001272452,"domain_scores_codex":[0.9976934,0.0001691162,0.0006788904,0.0005155106,0.0004738959,0.0004691618],"domain_scores_gemma":[0.998322,0.0002664457,0.0003384767,0.0007689323,0.0001605623,0.0001435698],"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":[0.000008401625,0.0003769625,0.001428302,0.0002184879,0.0001164211,0.00004475492,0.0005555237,0.9448555,0.001057239,0.04274219,0.004503828,0.00409245],"study_design_scores_gemma":[0.0004146703,0.000117703,0.0009747146,0.0002714509,0.000006465395,0.00004824244,0.00003445311,0.9960325,0.0001262771,0.00004306782,0.001665836,0.0002645562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06729341,0.0003840785,0.9256298,0.0002656865,0.001555683,0.0002357033,0.00005467806,0.0004900448,0.004090946],"genre_scores_gemma":[0.9928964,0.00000527734,0.006672922,0.00007977927,0.0001084312,0.000002620817,0.00005546052,0.0000131527,0.0001659689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.925603,"threshold_uncertainty_score":0.9471912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104509996","doi":"10.1109/tmag.2010.2043511","title":"Finite-Element Sparse Matrix Vector Multiplication on Graphic Processing Units","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Kernel (algebra); Computational science; Sparse matrix; Parallel computing; Matrix multiplication; Multiplication (music); Matrix (chemical analysis); Parallel processing; Finite element method; Algorithm; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0231316273560185,"gpt":0.2586766011793991,"spread":0.2355449738233805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138658,0.0002031436,0.0001452529,0.0002055823,0.0003090598,0.0002188399,0.0005929241,0.0001165263,0.00002740888],"category_scores_gemma":[0.00001264776,0.0001992611,0.00006309313,0.0008731573,0.0000457172,0.0001308324,0.000003276376,0.0004556078,0.0001331381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002472628,"about_ca_system_score_gemma":0.0000933894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032895,"about_ca_topic_score_gemma":0.0000246585,"domain_scores_codex":[0.9985166,0.00006410644,0.0003048522,0.0004082296,0.0004081462,0.0002981148],"domain_scores_gemma":[0.9987658,0.0001529131,0.00011533,0.0006450506,0.0001924587,0.0001284311],"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":[0.00008561516,0.00166095,0.0001324639,0.0001895881,0.00005831126,0.00002506313,0.002370611,0.5002824,0.02336023,0.01106032,0.001097708,0.4596767],"study_design_scores_gemma":[0.000892357,0.0006924876,0.0009196497,0.00009887919,0.00003066048,0.00002018926,0.00004502244,0.9651777,0.01487927,0.0002895075,0.01644327,0.0005110432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01884233,0.00001959285,0.9779563,0.0005129092,0.001388897,0.0002917559,0.00002729558,0.0003246665,0.0006362686],"genre_scores_gemma":[0.9886858,0.000009979071,0.01056363,0.0001199526,0.0000888212,0.00003958122,0.000006459928,0.00001647558,0.0004692584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9698435,"threshold_uncertainty_score":0.8125631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1525177341","doi":"10.1007/3-540-44444-0_17","title":"A Parameter-Based Approach to Resource Discovery in Grid Computing Systems","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Grid; Resource (disambiguation); Grid computing; Key (lock); Distributed computing; DRMAA; Database; Semantic grid; Resource management (computing); Resource allocation; Data science; World Wide Web; Computer network; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02022555322957964,"gpt":0.2336349194195785,"spread":0.2134093661899989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.00206702,0.0009765633,0.001269698,0.001807028,0.0003022705,0.002439481,0.005968985,0.0004947168,0.000002307597],"category_scores_gemma":[0.0001107168,0.0009262569,0.0002418028,0.001955491,0.0003850115,0.0005824724,0.001295055,0.001306923,0.00006376998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185817,"about_ca_system_score_gemma":0.0007376923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002094886,"about_ca_topic_score_gemma":0.0000270775,"domain_scores_codex":[0.9924368,0.0002145932,0.001311908,0.002974853,0.001603938,0.001457875],"domain_scores_gemma":[0.9954857,0.001176835,0.00045358,0.00237325,0.0001407638,0.0003698796],"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":[0.00001485249,0.00008997482,0.00009182639,0.000110217,0.000009530087,0.0001042574,0.0006962011,0.9346017,0.000007093188,0.006186835,0.0001445676,0.05794297],"study_design_scores_gemma":[0.0004872748,0.0002037487,0.0001227259,0.001908587,0.000006123312,0.0001103665,6.636571e-7,0.9823169,0.00002888958,0.003386614,0.01028033,0.001147754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005067381,0.0005032882,0.9827522,0.0002689446,0.002799839,0.001145005,0.00002812705,0.0003287108,0.01166716],"genre_scores_gemma":[0.7934844,0.000005743616,0.2023658,0.001989027,0.001607975,0.00003162882,0.0000619995,0.00008925828,0.0003641921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7929776,"threshold_uncertainty_score":0.9994092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153662366","doi":"10.1109/ccgrid.2002.1017136","title":"Scheduling Co-Reservations with Priorities in Grid Computing Systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Distributed computing; Scheduling (production processes); Grid; Grid computing; Quality of service; Processor scheduling; Mode (computer interface); Mathematical optimization; Computer network; Resource (disambiguation); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02330227975176111,"gpt":0.2581359608777389,"spread":0.2348336811259778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006939732,0.0001476421,0.0002204176,0.000132622,0.0001719648,0.0004361203,0.0005186367,0.00005058995,0.000003110702],"category_scores_gemma":[0.0000506724,0.0001219918,0.00002849728,0.0006736888,0.00002825232,0.0003347685,0.00005328482,0.0001560601,0.00003422553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006096678,"about_ca_system_score_gemma":0.0001436922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002790546,"about_ca_topic_score_gemma":0.00003441955,"domain_scores_codex":[0.9984879,0.0001709536,0.0003495062,0.000335688,0.0002875108,0.0003683624],"domain_scores_gemma":[0.999134,0.0001840389,0.0001011955,0.0004003701,0.0001062752,0.00007411426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000232481,0.00005933216,0.08025228,0.00008228058,0.00002085305,0.00003374904,0.0009640739,0.3314437,0.00003285474,0.5857137,0.001224697,0.0001701287],"study_design_scores_gemma":[0.001125917,0.0001209824,0.009553639,0.0004917636,0.000003968781,0.000172118,0.0009602357,0.95853,0.0001108491,0.000329597,0.0280094,0.0005915297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1125555,0.0001850083,0.8634887,0.0001346715,0.0007604377,0.0002183864,0.000002237215,0.0002758206,0.02237929],"genre_scores_gemma":[0.9648038,0.000001510854,0.03463092,0.00007429924,0.0001071911,0.000006463202,0.000005640929,0.000007877574,0.0003622841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8522484,"threshold_uncertainty_score":0.4974683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986299532","doi":"10.1007/s10723-007-9090-8","title":"Replica Placement Strategies in Data Grid","year":2007,"lang":"en","type":"article","venue":"Journal of Grid Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":47,"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":"Replica; Computer science; Testbed; Data grid; Grid; Distributed computing; Latency (audio); Replication (statistics); Heuristics; Grid computing; Data access; File transfer; Joins; Parallel computing; Computer network; Transfer (computing); Operating system; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.04170330943554825,"gpt":0.3183655469121562,"spread":0.276662237476608,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005465594,0.0001672249,0.0003590599,0.0002659541,0.0001109714,0.0003364863,0.002742954,0.00006031462,0.000002550887],"category_scores_gemma":[0.0001093667,0.0001461917,0.00007700779,0.0005870876,0.00003284289,0.0007208231,0.0008342944,0.0004420156,0.000009052355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009958573,"about_ca_system_score_gemma":0.0002386397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002774061,"about_ca_topic_score_gemma":0.00001701872,"domain_scores_codex":[0.997334,0.0001152143,0.001185258,0.0003478805,0.0005548039,0.0004628547],"domain_scores_gemma":[0.9976333,0.0003652068,0.0008269804,0.0008612726,0.0001749711,0.0001382717],"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":[0.0003537766,0.001565783,0.03644582,0.0004354869,0.0005017183,0.005683769,0.01235918,0.5692924,0.00233835,0.06053733,0.1358891,0.1745973],"study_design_scores_gemma":[0.004014609,0.0008305595,0.04641569,0.00170133,0.00003254282,0.003808754,0.003305819,0.8012049,0.0004700576,0.002130241,0.1349599,0.00112561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1142723,0.0004447965,0.8797016,0.0004138149,0.003136527,0.00008582066,0.000003529094,0.00005342899,0.001888114],"genre_scores_gemma":[0.9607886,0.000008244792,0.03739173,0.000112204,0.001669324,9.530122e-8,0.000006915135,0.000007978304,0.00001487152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465163,"threshold_uncertainty_score":0.5961525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139541175","doi":"10.1109/71.932715","title":"Efficient local search far DAG scheduling","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Fair-share scheduling; Two-level scheduling; Dynamic priority scheduling; Rate-monotonic scheduling; Directed acyclic graph; Scheduling (production processes); Distributed computing; Incremental heuristic search; Algorithm; Schedule; Beam search; Search algorithm; Parallel computing; Mathematical optimization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02467852927785577,"gpt":0.2528306202013057,"spread":0.2281520909234499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005995788,0.0003875254,0.0004696656,0.0002046341,0.0006578812,0.0005004492,0.0007080179,0.0002122121,0.0000112681],"category_scores_gemma":[0.000005445429,0.0003512555,0.0001662545,0.0008814215,0.0001291657,0.0001524048,0.00001257288,0.0004308931,0.0001998583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133018,"about_ca_system_score_gemma":0.0001059408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003501562,"about_ca_topic_score_gemma":0.00001048669,"domain_scores_codex":[0.9969215,0.0002756758,0.000622135,0.0008067953,0.000626872,0.0007469928],"domain_scores_gemma":[0.9983481,0.0001927866,0.000122287,0.0007428001,0.000180687,0.0004133874],"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":[0.0000432969,0.0002253922,0.00006782845,0.00005182404,0.00006455224,0.00006864964,0.0002107433,0.9932756,0.00007379738,0.00199176,0.0001649262,0.003761603],"study_design_scores_gemma":[0.0009562667,0.0001595699,0.0001845328,0.0001227848,0.00001842675,0.000380029,0.0003611468,0.9927821,0.000009759519,0.00003476435,0.004580972,0.0004096329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02442358,0.0006260343,0.9716615,0.0002859877,0.001378586,0.000440723,0.0001567128,0.0005148768,0.0005119875],"genre_scores_gemma":[0.9981877,0.00005959961,0.001125536,0.00006729,0.00009476578,0.00005943097,0.00003477348,0.00002052646,0.0003503964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9737641,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2093615050","doi":"10.1016/j.jpdc.2010.04.001","title":"Dynamic balancing of communication and computation load for HLA-based simulations on large-scale distributed systems","year":2010,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computation; Distributed computing; Load balancing (electrical power); Scale (ratio); Parallel computing; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.0122417790204031,"gpt":0.2773900201079655,"spread":0.2651482410875625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359729,0.0002477332,0.0005718446,0.0001613238,0.000442009,0.000259735,0.0005238409,0.0001524077,7.56001e-7],"category_scores_gemma":[0.0002625142,0.0002254789,0.0001334249,0.0003813151,0.0001081339,0.0002542148,0.000142897,0.0004015357,5.382954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007489861,"about_ca_system_score_gemma":0.0001798782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002304872,"about_ca_topic_score_gemma":0.00001724822,"domain_scores_codex":[0.9976746,0.0001801186,0.0010725,0.0003002987,0.0004237527,0.0003487123],"domain_scores_gemma":[0.9960392,0.001189693,0.001316809,0.0003608753,0.0009056199,0.0001878278],"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":[0.00008779512,0.0002418045,0.004711484,0.00017616,0.00007261022,0.000004501735,0.000509638,0.9858772,0.0008451218,0.005451835,0.0003995197,0.00162229],"study_design_scores_gemma":[0.002378106,0.0002747126,0.01206709,0.0003389393,0.00003884316,0.00007241827,0.000205386,0.9826924,0.00002572675,0.0009191569,0.0007678026,0.0002194782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3165902,0.0002883577,0.6819392,0.000273222,0.0003557226,0.0002320357,0.0002638109,0.00004146036,0.00001592268],"genre_scores_gemma":[0.9611731,0.000007022491,0.03842844,0.00003381975,0.00006613058,0.000002414919,0.0002738243,0.00001216784,0.000003144374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6445828,"threshold_uncertainty_score":0.9194764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020027705","doi":"10.1177/1094342003173006","title":"Quality of Service on the Grid Via Metascheduling with Resource Co-Scheduling and Co-Reservation","year":2003,"lang":"en","type":"article","venue":"The International Journal of High Performance Computing Applications","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Reservation; Computer science; Architecture; Scheduling (production processes); Grid; Distributed computing; Grid computing; Quality of service; Computer network; Engineering; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.03328211042214087,"gpt":0.2965294496184481,"spread":0.2632473391963073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002740344,0.000129276,0.0002056284,0.00009261467,0.0003400011,0.0001512874,0.001494124,0.00003214095,0.000002798914],"category_scores_gemma":[0.0000678755,0.00007543487,0.0000503991,0.0003585934,0.00007473901,0.0001897808,0.00008539904,0.0003092499,0.000006126207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004417547,"about_ca_system_score_gemma":0.00009303468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003919946,"about_ca_topic_score_gemma":0.000002718355,"domain_scores_codex":[0.998121,0.000209411,0.0006393487,0.000169722,0.000712774,0.0001477388],"domain_scores_gemma":[0.9969183,0.0009426462,0.001007667,0.0003825871,0.0007032833,0.0000455328],"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":[0.000160409,0.0002873221,0.01373182,0.0001012457,0.0005469232,0.000002635365,0.002330005,0.6567762,0.002777925,0.3081121,0.0004934448,0.01467987],"study_design_scores_gemma":[0.002915827,0.0005435891,0.08309356,0.0009299325,0.00008110065,0.0009505832,0.0008246998,0.8462983,0.02489524,0.008881146,0.02985136,0.0007346774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5547149,0.0000568717,0.4418369,0.00277544,0.00009601797,0.0001219829,0.000003952498,0.00001569245,0.0003783115],"genre_scores_gemma":[0.9837351,0.00001162937,0.01534662,0.0006624183,0.0002152301,0.000006133069,0.000007256308,0.000007359557,0.000008215797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290203,"threshold_uncertainty_score":0.3076145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125810107","doi":"10.1109/itcc.2005.244","title":"Replica placement in data grid: considering utility and risk","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Replica; Data grid; Replication (statistics); Distributed computing; Grid; Cache; Grid computing; Latency (audio); Load balancing (electrical power); Data access; Bandwidth (computing); Computer network; Database; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.04956848823611644,"gpt":0.2808396521608066,"spread":0.2312711639246902,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008855481,0.00008048327,0.0001181258,0.00003395448,0.00006082554,0.0001261981,0.0006496381,0.00002765312,0.00001682355],"category_scores_gemma":[0.00005769905,0.0000710954,0.000009469307,0.0001277528,0.00002015782,0.0002760511,0.0008687861,0.00009667539,0.00002446227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000161962,"about_ca_system_score_gemma":0.00002884581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002685734,"about_ca_topic_score_gemma":0.0003582483,"domain_scores_codex":[0.9989067,0.0000738912,0.0002302123,0.0004794916,0.0001208016,0.0001889177],"domain_scores_gemma":[0.9986305,0.000110359,0.00005597437,0.001127782,0.00001365453,0.00006171338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003004158,0.0004539364,0.4392566,0.0001081478,0.0001022616,0.00006233351,0.00268193,0.01075978,0.00007604311,0.03184824,0.1985475,0.3160731],"study_design_scores_gemma":[0.0003482726,0.00001296543,0.01367623,0.0000185747,0.000002017877,0.00002211022,0.00002973597,0.8074015,0.0000369723,0.000191258,0.178134,0.0001263319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1957243,0.0004610403,0.7864649,0.001569144,0.0003057969,0.0002603002,0.00004205938,0.0002936636,0.01487876],"genre_scores_gemma":[0.9771659,0.00002767535,0.0224763,0.0001038991,0.00006603411,0.000002081071,0.00001151563,0.000002235283,0.0001443739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7966417,"threshold_uncertainty_score":0.2899186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246610289","doi":"10.1007/978-0-387-39940-9_2227","title":"Common Object Request Broker Architecture","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Architecture; Object (grammar); Artificial intelligence; Art; Visual arts","retraction":null,"screen_n_in":null,"score":{"opus":0.01329953917117011,"gpt":0.23501023221944,"spread":0.2217106930482699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008490693,0.0008256469,0.001439619,0.0004090567,0.0001422602,0.0001938404,0.002631433,0.0005019674,0.00002928317],"category_scores_gemma":[0.00005298331,0.0007572419,0.0003570732,0.0001769811,0.0001046882,0.0004209591,0.0005792594,0.000911175,0.0003027849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071559,"about_ca_system_score_gemma":0.0003332708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003733961,"about_ca_topic_score_gemma":0.00004526976,"domain_scores_codex":[0.9954689,0.0002068962,0.001455173,0.001153149,0.001117044,0.0005988629],"domain_scores_gemma":[0.9948612,0.0003133176,0.001221271,0.003084318,0.0002255538,0.0002942773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004164911,0.0001832994,0.00009938342,0.002320438,0.0004583522,0.000929367,0.0009185573,0.002969164,0.00006342384,0.7404295,0.2021048,0.04948207],"study_design_scores_gemma":[0.0003382796,0.0001891224,0.00002410944,0.002503759,0.00005566368,0.00024646,0.000006689766,0.001265641,0.000005388559,0.002317554,0.9922009,0.000846464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001922347,0.005988316,0.1006816,0.00009729544,0.003527332,0.0009173946,0.001793765,0.0004514588,0.8865237],"genre_scores_gemma":[0.02577086,0.001805804,0.008943199,0.0002152938,0.004255407,0.00005005687,0.004533619,0.0002222775,0.9542035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7900961,"threshold_uncertainty_score":0.9994879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2933452654","doi":"10.3138/cart.54.1.2018-0017","title":"Datacubes: A Discrete Global Grid Systems Perspective","year":2019,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Camosun College","funders":"","keywords":"Computer science; Geospatial analysis; Spatial data infrastructure; Data cube; Interoperability; Big data; Spatial analysis; Grid; Raster data; Workflow; Data mining; Database; Raster graphics; Geography; Artificial intelligence; Cartography; Remote sensing; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.007879270793183913,"gpt":0.2818853388857097,"spread":0.2740060680925258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008565298,0.0001800511,0.0001728751,0.0003464135,0.0004163141,0.002207058,0.001137407,0.00008523886,0.0000055369],"category_scores_gemma":[0.0001003211,0.0001287338,0.0001821902,0.0006444824,0.00006570385,0.002200684,0.0001760219,0.0001585995,0.00001677157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006696615,"about_ca_system_score_gemma":0.00008818856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126988,"about_ca_topic_score_gemma":0.000007519995,"domain_scores_codex":[0.9982184,0.00009103321,0.0005646565,0.00019937,0.0006730396,0.0002534689],"domain_scores_gemma":[0.997601,0.0001044806,0.0004738269,0.0002819376,0.001430783,0.0001080199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005441261,0.00002426611,0.01561436,0.00003454157,0.0002722896,0.000001431928,0.001306956,0.005504819,0.00000707192,0.9709848,0.00426618,0.001928904],"study_design_scores_gemma":[0.002402584,0.0003254664,0.01095864,0.0002173167,0.000053555,0.0009778839,0.004148359,0.4878231,0.000006496331,0.02057219,0.4719813,0.0005330268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0304393,0.0006020407,0.9534912,0.003141242,0.009473151,0.0008335015,0.0002417748,0.0001575097,0.001620318],"genre_scores_gemma":[0.9978879,0.0002716758,0.0003380902,0.0007726908,0.0003603324,0.00003046786,0.0002862189,0.000005695463,0.00004689367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674487,"threshold_uncertainty_score":0.9988288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1500581971","doi":"10.1007/3-540-36180-4_11","title":"Practical Heterogeneous Placeholder Scheduling in Overlay Metacomputers: Early Experiences","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Overlay; Computer science; Scheduling (production processes); Engineering; Operations management; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03881734071901376,"gpt":0.2770834585089481,"spread":0.2382661177899343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00137472,0.0009518793,0.001093361,0.001240441,0.000294166,0.001694127,0.004177369,0.000601585,0.00004804972],"category_scores_gemma":[0.0001455524,0.0008976194,0.0002726373,0.001193208,0.0006496441,0.001235465,0.00174318,0.001519766,0.0001306326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452225,"about_ca_system_score_gemma":0.0005075165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005916039,"about_ca_topic_score_gemma":0.0000295331,"domain_scores_codex":[0.992825,0.0001619225,0.00118739,0.002699063,0.001733853,0.001392738],"domain_scores_gemma":[0.9960883,0.000976607,0.0005587263,0.00179974,0.0002192337,0.0003574024],"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":[0.00002537339,0.0002831932,0.0003623649,0.0001310896,0.00008079239,0.002900755,0.01853841,0.8173733,0.0000464434,0.0214883,0.0001679444,0.138602],"study_design_scores_gemma":[0.0005332891,0.0002965968,0.00009977187,0.0008038104,0.000009612208,0.0005536771,0.000002163641,0.9847818,0.0002360221,0.009890539,0.001550247,0.001242451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003109538,0.0006410979,0.9893056,0.0008666017,0.003474804,0.0005510841,0.000004468082,0.0003043784,0.001742392],"genre_scores_gemma":[0.7043566,0.00002681447,0.2941914,0.0005886953,0.0005546117,0.00002492525,0.000004296205,0.00004422555,0.000208461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7012471,"threshold_uncertainty_score":0.9993474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050312036","doi":"10.1016/s0010-4655(00)00054-0","title":"NWChem: Exploiting parallelism in molecular simulations","year":2000,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Energy Research Scientific Computing Center; National Science Foundation","keywords":"Computer science; Massively parallel; Domain decomposition methods; Parallel computing; Computational science; Software; Molecular dynamics; Parallelism (grammar); Chemistry; Programming language; Computational chemistry; Physics; Finite element method","retraction":null,"screen_n_in":null,"score":{"opus":0.03321392856996765,"gpt":0.2741760368299608,"spread":0.2409621082599931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001817855,0.0001912175,0.0002323987,0.00007537266,0.0002686901,0.0002589927,0.002901734,0.00006040307,0.00001462504],"category_scores_gemma":[0.000006873594,0.0002199435,0.0001014101,0.0008702909,0.00006793789,0.0004560609,0.0006795279,0.0002982682,0.0001644151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005281506,"about_ca_system_score_gemma":0.00005996397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005217099,"about_ca_topic_score_gemma":0.000008104284,"domain_scores_codex":[0.9984038,0.0002536151,0.0004329341,0.0003675655,0.0002032431,0.0003387655],"domain_scores_gemma":[0.9966486,0.0002739685,0.00009851275,0.002798891,0.00009100734,0.00008898435],"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":[0.000001723325,0.000487277,0.0007345872,0.00001550964,0.00003835062,0.00001081266,0.00241838,0.4833314,0.0002758637,0.3264751,0.0007325612,0.1854785],"study_design_scores_gemma":[0.0003097952,0.00001591189,0.0006500254,0.00006170279,0.000003434907,0.000006070044,0.000006381464,0.969699,0.00002430052,0.01780345,0.01117811,0.000241844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0145548,0.0002303278,0.9765709,0.001212731,0.0001100741,0.0002209582,0.000007887688,0.0003283366,0.00676397],"genre_scores_gemma":[0.7539096,0.00002299986,0.2454649,0.0003312847,0.00008205178,0.0000229505,0.00007456684,0.00001264115,0.00007896622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7393548,"threshold_uncertainty_score":0.8969036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117159768","doi":"10.1101/gr.090019.108","title":"Shifted Transversal Design smart-pooling for high coverage interactome mapping","year":2009,"lang":"en","type":"article","venue":"Genome Research","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":39,"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":"National Institutes of Health; Fédération Wallonie-Bruxelles; National Human Genome Research Institute; Fonds De La Recherche Scientifique - FNRS","keywords":"Biology; Interactome; Pooling; Transversal (combinatorics); Computational biology; Genetics; Computer science; Artificial intelligence; Gene; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1236171443719833,"gpt":0.3465606541866398,"spread":0.2229435098146565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003057385,0.0001733472,0.000268057,0.0003929962,0.0004149324,0.0005981546,0.001260394,0.0001008872,0.00001697466],"category_scores_gemma":[0.000117539,0.0001698498,0.0001032554,0.0009994149,0.00003744023,0.0003196053,0.0001295096,0.0003925377,0.0001008078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631823,"about_ca_system_score_gemma":0.0001951673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005614991,"about_ca_topic_score_gemma":0.000001463565,"domain_scores_codex":[0.997037,0.0004118338,0.0003587916,0.0005787929,0.0006339119,0.0009796679],"domain_scores_gemma":[0.9981139,0.0007392945,0.00006121983,0.0005778817,0.0003099559,0.0001977374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001288763,0.001790766,0.0004910954,0.001092932,0.0007586572,0.001265705,0.04099064,0.0822243,0.142534,0.3971263,0.02036163,0.3100753],"study_design_scores_gemma":[0.007091315,0.004318649,0.02358905,0.0006497403,0.00002133423,0.000204615,0.0003731178,0.6655254,0.003994897,0.1578439,0.1340968,0.002291189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0189227,0.0002605721,0.9771941,0.001286617,0.0002946724,0.0007287354,0.00001698742,0.0001986611,0.001096929],"genre_scores_gemma":[0.9706831,0.00001314211,0.02844582,0.0001091765,0.0002467,0.00003076313,0.00003160984,0.00001286798,0.0004268382],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9517604,"threshold_uncertainty_score":0.6926275,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128493806","doi":"10.1109/ds-rt.2008.38","title":"An Efficient Dynamic Load Balancing Scheme for Distributed Simulations on a Grid Infrastructure","year":2008,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Distributed computing; Scalability; Grid; Load balancing (electrical power); Scheme (mathematics); Grid computing; Load management; Computation; Operating system; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0112652662568453,"gpt":0.2590860204769509,"spread":0.2478207542201056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001607049,0.0001918272,0.0002016055,0.00006898571,0.0004192941,0.0001233265,0.0006909423,0.00008416909,0.000009957667],"category_scores_gemma":[0.00006826608,0.0001638563,0.000086703,0.0004228933,0.00003094604,0.0001388004,0.00007356671,0.000122506,0.00002314625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713554,"about_ca_system_score_gemma":0.0001709199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825091,"about_ca_topic_score_gemma":0.000007732093,"domain_scores_codex":[0.9984739,0.00004554637,0.0002874063,0.0004749798,0.0003392352,0.0003788999],"domain_scores_gemma":[0.9987441,0.000159335,0.0001012063,0.000641791,0.0002071918,0.0001463755],"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":[0.00001117434,0.0001060982,0.0009746091,0.00001412292,0.0000152539,0.00000702775,0.0003242801,0.9861441,0.0005087139,0.008056793,0.003343438,0.0004944358],"study_design_scores_gemma":[0.0005497435,0.0001447093,0.008930051,0.00002278318,0.000002593814,0.0000284617,0.0000126017,0.9852315,0.00008232593,0.000227853,0.004552935,0.0002143993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2590953,0.00001259384,0.7392628,0.0001331555,0.0004935813,0.0002628376,0.0001655474,0.0003470606,0.0002271958],"genre_scores_gemma":[0.9707966,4.415395e-7,0.02857801,0.0001490889,0.0001143333,0.00001038443,0.0002699455,0.000009827278,0.00007130817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7117014,"threshold_uncertainty_score":0.6681867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000443531","doi":"10.1088/1742-6596/219/5/052009","title":"A comparison of HEP code with SPEC<sup>1</sup>benchmarks on multi-core worker nodes","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Spec#; Benchmark (surveying); Computer science; Multi-core processor; Code (set theory); Core (optical fiber); Parallel computing; Operating system; Programming language; Geography; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.04738224963571861,"gpt":0.2986746840704391,"spread":0.2512924344347205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278108,0.0002528235,0.0006296253,0.00008216416,0.0001170681,0.0002432423,0.001046371,0.00008968668,0.00002282574],"category_scores_gemma":[0.00004610959,0.0001832838,0.0001383803,0.0003283789,0.0002057654,0.0006422006,0.0001152363,0.0007004444,0.000008058089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001855404,"about_ca_system_score_gemma":0.0003063072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152269,"about_ca_topic_score_gemma":0.00002556977,"domain_scores_codex":[0.9981963,0.00007218539,0.0006280142,0.0002413973,0.0005729009,0.0002892145],"domain_scores_gemma":[0.997548,0.0001451976,0.0009202173,0.0004938869,0.0007516472,0.0001410943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008497173,0.002888382,0.1298029,0.0003103813,0.0006296715,0.0001519815,0.02788696,0.09369484,0.01923468,0.6132903,0.004300592,0.1069597],"study_design_scores_gemma":[0.007670832,0.00766396,0.06670377,0.004617018,0.0002251248,0.0007648954,0.006816465,0.6926122,0.1620033,0.0323252,0.01587862,0.002718646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573342,0.00003638508,0.4243221,0.0003049689,0.00046124,0.0001104533,0.00001637718,0.00003082616,0.001375587],"genre_scores_gemma":[0.9754539,0.000005418225,0.02417951,0.00003150745,0.0002202393,0.000001559927,0.00000603225,0.00001103204,0.00009077042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5989174,"threshold_uncertainty_score":0.7474095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}