{"meta":{"query_hash":"0f2b85537266","filters":{"venue":"Ad Hoc Networks"},"cohort_total":82,"direct_labels_cover":0,"predictions_cover":82,"exported":82,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/0f2b85537266","api":"https://metacan.xera.ac/api/v1/cohort?venue=Ad+Hoc+Networks"},"results":[{"id":"W1000383497","doi":"10.1016/j.adhoc.2015.06.004","title":"Geo-localized content availability in VANETs","year":2015,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Vehicular ad hoc network; Computer science; Replication (statistics); Variety (cybernetics); Replicate; Content delivery; Wireless ad hoc network; Intelligent transportation system; Computer network; Content (measure theory); Telecommunications; Transport engineering; Wireless; Engineering; Artificial intelligence","score_opus":0.034747924730285845,"score_gpt":0.22184184891564332,"score_spread":0.18709392418535747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1000383497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90183705,0.051923104,0.029105525,0.00025980276,0.0035042388,0.0014057461,0.000012548129,0.0015756659,0.010376306],"genre_scores_gemma":[0.9967222,0.0008937676,0.0011113854,0.00027877573,0.00036357506,0.000084967854,0.00006879368,0.000104545674,0.0003719736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973848,0.00015567949,0.0006274758,0.0004652944,0.00036055993,0.0010062305],"domain_scores_gemma":[0.9984819,0.00013845433,0.00006165747,0.00075308356,0.00009662287,0.0004682254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00091466395,0.000400281,0.0005576463,0.00009573101,0.000041935153,0.00006633591,0.000379589,0.00036474294,0.0001429407],"category_scores_gemma":[0.00008017308,0.00041042408,0.000129515,0.0004726142,0.000097445074,0.00022081092,0.000116371135,0.00076288206,0.00028151795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065140164,0.000048717156,0.0033428818,0.000018495815,0.00004575939,0.000091311726,0.00015539363,0.96183366,0.000024347872,0.00007215851,0.018904824,0.015397309],"study_design_scores_gemma":[0.0017013494,0.00006940463,0.003917553,0.000072241084,0.000022290764,0.000024612751,0.00006895717,0.8985616,0.000026804555,0.00028190785,0.094805755,0.00044753955],"about_ca_topic_score_codex":0.00005411688,"about_ca_topic_score_gemma":0.0009836311,"teacher_disagreement_score":0.094885156,"about_ca_system_score_codex":0.00041032233,"about_ca_system_score_gemma":0.000051116902,"threshold_uncertainty_score":0.9998348},"labels":[],"label_agreement":null},{"id":"W1871678364","doi":"10.1016/j.adhoc.2016.01.002","title":"On the displacement for covering a d-dimensional cube with randomly placed sensors","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cube (algebra); Displacement (psychology); Unit cube; Terrain; Metric (unit); Point (geometry); Cube root; RADIUS; Mathematics; Range (aeronautics); Geometry; Computer science; Combinatorics; Geography; Engineering; Cartography","score_opus":0.0097721108021219,"score_gpt":0.21544715758930383,"score_spread":0.20567504678718193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871678364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11625868,0.000121639234,0.87948227,0.003283905,0.0002799383,0.00040255737,0.0000022555928,0.000042266947,0.00012650724],"genre_scores_gemma":[0.9912753,0.000021345597,0.0059464155,0.0010213545,0.00015740968,0.00011707151,0.0000064552723,0.000008964364,0.0014456587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999144,0.000052407155,0.00012132586,0.00025711974,0.00022718414,0.00019795509],"domain_scores_gemma":[0.99826926,0.0013197364,0.00006464627,0.00022856562,0.000069569454,0.000048219896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034339126,0.0001071697,0.000095795294,0.000031931828,0.00020115446,0.00006198763,0.00018901167,0.000029556233,0.000018055975],"category_scores_gemma":[0.000030483074,0.000052126376,0.000045030883,0.0001597216,0.00002389939,0.00013143194,0.000055048,0.00005194551,0.000014389214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010218789,0.000052860774,0.000058250032,0.000003827415,0.0000796794,0.000004025609,0.000090917914,0.8589889,0.00039968922,0.08167633,0.014066012,0.043557644],"study_design_scores_gemma":[0.003389653,0.0004034332,0.00056182605,0.0000869409,0.000012649654,0.000011188068,0.0000040957,0.97735953,0.00071911723,0.0027452528,0.014513765,0.00019252273],"about_ca_topic_score_codex":5.775701e-7,"about_ca_topic_score_gemma":0.0000057337274,"teacher_disagreement_score":0.8750166,"about_ca_system_score_codex":0.000036380367,"about_ca_system_score_gemma":0.000037221318,"threshold_uncertainty_score":0.21256518},"labels":[],"label_agreement":null},{"id":"W1964865687","doi":"10.1016/j.adhoc.2013.10.007","title":"Location error estimation in wireless ad hoc networks","year":2013,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Estimator; Cramér–Rao bound; Upper and lower bounds; Robustness (evolution); Computer science; Algorithm; Variance (accounting); Time of arrival; Mean squared error; Statistics; Probabilistic logic; RSS; Wireless ad hoc network; Mathematics; Wireless; Telecommunications","score_opus":0.006773266339124703,"score_gpt":0.20684962032450063,"score_spread":0.20007635398537593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964865687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112647355,0.012778724,0.8711985,0.00016379714,0.0007851007,0.0005283225,8.226057e-7,0.0013136897,0.00058371515],"genre_scores_gemma":[0.99538875,0.0026069053,0.0014203419,0.00010806356,0.00007888955,0.00016010413,0.000074125885,0.000053954154,0.000108867476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998817,0.000027731927,0.00036222153,0.00022286146,0.00013236198,0.00043780918],"domain_scores_gemma":[0.9994108,0.00006177635,0.000058744557,0.00033052187,0.00008210422,0.000056047764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012569768,0.00022148357,0.00022066961,0.00014426159,0.00007359304,0.000080007114,0.0002250355,0.00037212585,0.00007831967],"category_scores_gemma":[0.000025580915,0.00022985051,0.0000414633,0.000710577,0.000056900128,0.000359491,0.00004345167,0.0003759896,0.00012030751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039929837,0.000009960932,0.00034959186,0.00002137888,0.000009369172,0.0000017014179,0.000078931975,0.75731236,0.000010070272,0.00022488573,0.0024804864,0.23949727],"study_design_scores_gemma":[0.00031226143,0.000028090875,0.005065617,0.00010911687,0.000009210996,0.0000027192461,0.000115711475,0.992439,0.00014393422,0.00045241546,0.00105894,0.00026301417],"about_ca_topic_score_codex":0.000010587736,"about_ca_topic_score_gemma":0.0001429517,"teacher_disagreement_score":0.8827414,"about_ca_system_score_codex":0.00013504883,"about_ca_system_score_gemma":0.000012142263,"threshold_uncertainty_score":0.9373032},"labels":[],"label_agreement":null},{"id":"W1967852694","doi":"10.1016/j.adhoc.2012.03.014","title":"Rate management in multiuser detection based MAC design for ad hoc networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Wireless ad hoc network; Computer science; Computer network; Vehicular ad hoc network; Telecommunications; Wireless","score_opus":0.04574603344224481,"score_gpt":0.2970573769957503,"score_spread":0.2513113435535055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967852694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008942427,0.016882695,0.97846806,0.00064813567,0.0009815139,0.0017138986,8.589768e-7,0.00026282173,0.00014780286],"genre_scores_gemma":[0.8546089,0.0042743394,0.1383609,0.000690421,0.000318177,0.0012149041,0.000025095045,0.00006782465,0.00043940943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961717,0.00091499614,0.0005386691,0.0006048464,0.00036263547,0.0014071392],"domain_scores_gemma":[0.99640113,0.0012171373,0.00019939996,0.0017451844,0.00014626158,0.00029088225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003012924,0.00033936725,0.00032713392,0.00028682224,0.00034348737,0.00026667453,0.0019203784,0.0002764053,0.000022283786],"category_scores_gemma":[0.00003393091,0.000348516,0.0001410725,0.0012327835,0.000081478574,0.0008184432,0.0006809599,0.00066811044,0.00004883248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001416083,0.00012976892,0.0001391145,0.000016045715,0.000035113342,0.0000042750216,0.000087838016,0.546199,0.000013275405,0.00049781724,0.0024858685,0.45025024],"study_design_scores_gemma":[0.001392107,0.00011182326,0.0031917624,0.000077418445,0.000013930693,0.0000017739262,0.000020196823,0.94964695,0.00009459463,0.00018780137,0.044894252,0.00036736496],"about_ca_topic_score_codex":0.0000044782364,"about_ca_topic_score_gemma":0.00011193118,"teacher_disagreement_score":0.8537147,"about_ca_system_score_codex":0.00027650147,"about_ca_system_score_gemma":0.000040141633,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W1971075767","doi":"10.1016/j.adhoc.2012.04.003","title":"Cross-layer optimization with cooperative communication for minimum power cost in packet error rate constrained wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cross-layer optimization; Time division multiple access; Network packet; Computer science; Relay; Computer network; Optimization problem; Wireless sensor network; Physical layer; Hop (telecommunications); Power optimization; Wireless; Power control; Node (physics); Power (physics); Mathematical optimization; Wireless network; Algorithm; Engineering; Mathematics; Telecommunications","score_opus":0.03649772048595648,"score_gpt":0.304769086160071,"score_spread":0.26827136567411447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971075767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018621977,0.0034152833,0.9741558,0.0009988418,0.000375441,0.0014564313,0.000007121813,0.00016699397,0.0008021234],"genre_scores_gemma":[0.95891553,0.002374216,0.03654801,0.0011460755,0.00011606751,0.00037376376,0.00016656506,0.000044584114,0.000315174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973368,0.0006898694,0.00056225574,0.00045741844,0.00017073932,0.00078289636],"domain_scores_gemma":[0.996737,0.00093765237,0.000302422,0.0012348572,0.0005731191,0.00021492614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013394874,0.00036234575,0.00041328187,0.000115854215,0.00057069084,0.00040162378,0.001010653,0.00022027541,0.000072021365],"category_scores_gemma":[0.00007025266,0.00032550568,0.00007573323,0.0009710368,0.00028715096,0.0012131036,0.00035682885,0.00051023497,0.000007778833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025447796,0.00022518514,0.004701489,0.000006763477,0.000062819796,0.0000024119468,0.0018352238,0.96159756,0.00003853114,0.010974469,0.00100907,0.019291995],"study_design_scores_gemma":[0.0019963593,0.00014320014,0.0034502642,0.00013501718,0.000013299683,0.000011545243,0.00016053772,0.9897468,0.00004503935,0.0000114525765,0.003830736,0.00045573505],"about_ca_topic_score_codex":0.0000024168744,"about_ca_topic_score_gemma":0.00017166417,"teacher_disagreement_score":0.94029355,"about_ca_system_score_codex":0.00014213563,"about_ca_system_score_gemma":0.00009580082,"threshold_uncertainty_score":0.9999197},"labels":[],"label_agreement":null},{"id":"W1974718755","doi":"10.1016/j.adhoc.2006.07.001","title":"Non-Euclidian geographic routing in wireless networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geographic routing; Computer science; Equal-cost multi-path routing; Link-state routing protocol; Static routing; Dynamic Source Routing; Multipath routing; Distributed computing; Computer network; Destination-Sequenced Distance Vector routing; Euclidean distance; Private Network-to-Network Interface; Routing (electronic design automation); Routing protocol; Artificial intelligence","score_opus":0.0057415191923683205,"score_gpt":0.2058473296310674,"score_spread":0.20010581043869907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974718755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07944234,0.004837599,0.9072176,0.00050546916,0.0016016477,0.0007671004,0.0000010661587,0.00061866693,0.0050085117],"genre_scores_gemma":[0.9916074,0.0007358443,0.0050670435,0.0007705844,0.0013263702,0.00012838317,0.00003320535,0.00007534257,0.00025579115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953171,0.00017594422,0.00096800935,0.0012440591,0.00047164797,0.0018232166],"domain_scores_gemma":[0.99744093,0.00030985795,0.00034735995,0.0015387308,0.00010067545,0.00026245232],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010449814,0.00056489964,0.0006301751,0.00030094353,0.00031286824,0.00046829353,0.0020512044,0.0005230593,0.000024830842],"category_scores_gemma":[0.000008374765,0.0006054668,0.0002571721,0.002424102,0.0001417809,0.0008729638,0.0006994257,0.001207977,0.000057282963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021150257,0.00017836325,0.041746747,0.000009860481,0.000028437742,0.00020047705,0.00010292619,0.7498703,0.000011533552,0.020997226,0.005761003,0.18107195],"study_design_scores_gemma":[0.0008269929,0.00007114203,0.02760139,0.00015596037,0.00001196468,0.000026739577,0.0000111493355,0.9664136,0.00001412785,0.0008832788,0.0033147507,0.0006688607],"about_ca_topic_score_codex":0.00028782804,"about_ca_topic_score_gemma":0.0027988055,"teacher_disagreement_score":0.9121651,"about_ca_system_score_codex":0.00016282749,"about_ca_system_score_gemma":0.00007125792,"threshold_uncertainty_score":0.9996397},"labels":[],"label_agreement":null},{"id":"W1976780441","doi":"10.1016/j.adhoc.2014.11.019","title":"On the impact of interference models on channel assignment in multi-radio multi-channel wireless mesh networks","year":2014,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interference (communication); Computer science; Wireless mesh network; Channel (broadcasting); Co-channel interference; Wireless network; Computer network; Channel allocation schemes; Wireless; Node (physics); Mesh networking; Radio resource management; Topology (electrical circuits); Telecommunications; Engineering; Electrical engineering","score_opus":0.035527973412938216,"score_gpt":0.26449047972157264,"score_spread":0.2289625063086344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976780441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018787999,0.00060873496,0.9778499,0.00021520142,0.000959197,0.0010514298,0.0000044704784,0.00017229197,0.00035078684],"genre_scores_gemma":[0.9970962,0.0006538053,0.0009770489,0.00054442155,0.00024056187,0.00027477782,0.000011182724,0.000078572935,0.00012346578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99508077,0.0007875889,0.0009363507,0.0012365622,0.0005790424,0.0013796937],"domain_scores_gemma":[0.99522686,0.0015057732,0.00055720797,0.0022368894,0.00014333188,0.0003299559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017025359,0.00076460495,0.00087698037,0.00022560796,0.00021566806,0.00019867577,0.002856814,0.00045623057,0.000021008307],"category_scores_gemma":[0.00006592002,0.00054341095,0.0004019493,0.0009824203,0.0002062135,0.0004654849,0.00069550384,0.0014476936,0.000025395686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001265399,0.00054152816,0.000057790632,0.00000672633,0.00007825984,0.000013009735,0.0006773788,0.95958966,0.000007372422,0.014464455,0.0016129456,0.022824336],"study_design_scores_gemma":[0.0015488552,0.0010437411,0.0013681593,0.000548139,0.000012094532,0.0000069316015,0.00003356564,0.99234366,0.000038696675,0.0024881712,0.000010952954,0.0005570201],"about_ca_topic_score_codex":0.00012783344,"about_ca_topic_score_gemma":0.00021034907,"teacher_disagreement_score":0.97830814,"about_ca_system_score_codex":0.00038220972,"about_ca_system_score_gemma":0.000081497055,"threshold_uncertainty_score":0.99970174},"labels":[],"label_agreement":null},{"id":"W1981783992","doi":"10.1016/j.adhoc.2012.01.009","title":"Extended sliding frame R-Aloha: Medium access control (MAC) protocol for mobile networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Aloha; Computer network; Computer science; Frame (networking); Protocol (science); Access control; Multiple Access with Collision Avoidance for Wireless; Throughput; Telecommunications; Wireless; Network packet; Optimized Link State Routing Protocol; Medicine; Routing protocol","score_opus":0.025484743155133893,"score_gpt":0.31815320748132425,"score_spread":0.29266846432619037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981783992","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008727297,0.0018812824,0.86882305,0.00024682828,0.0027942236,0.12458711,0.0000056016856,0.0008143755,0.00076023804],"genre_scores_gemma":[0.41020393,0.00009212702,0.01222256,0.0023637903,0.0054194992,0.569173,0.000026507747,0.00016249673,0.00033612197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934283,0.0003812941,0.001159343,0.0013153144,0.0007300231,0.0029857093],"domain_scores_gemma":[0.9944143,0.0014848843,0.00071833964,0.00210991,0.0003465486,0.0009259756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002129331,0.0008544591,0.0009882323,0.00017282327,0.00067364634,0.00092094066,0.0038026406,0.000782812,0.00016275751],"category_scores_gemma":[0.00010150842,0.00079347804,0.00046144397,0.0011600064,0.0001448219,0.002968118,0.0010910997,0.0011664873,0.000050353185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075560604,0.0011571392,0.0045823916,0.00019121109,0.0004771211,0.000041295218,0.0006013859,0.4994977,0.000056312456,0.027253062,0.119093224,0.34629354],"study_design_scores_gemma":[0.0036298034,0.00040377455,0.0014986482,0.00015778842,0.000057482615,0.000035918503,0.00001878068,0.8070201,0.00007515537,0.00094047736,0.18525091,0.0009111471],"about_ca_topic_score_codex":0.000007420777,"about_ca_topic_score_gemma":0.000019500485,"teacher_disagreement_score":0.8566005,"about_ca_system_score_codex":0.00023744401,"about_ca_system_score_gemma":0.00015888299,"threshold_uncertainty_score":0.99945164},"labels":[],"label_agreement":null},{"id":"W1986199471","doi":"10.1016/j.adhoc.2010.07.007","title":"Computationally efficient mutual entity authentication in wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mutual authentication; Wireless sensor network; Computer science; Computer network; Authentication (law); Computer security","score_opus":0.006386125073379109,"score_gpt":0.22667098378025546,"score_spread":0.22028485870687636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986199471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5593386,0.000274426,0.4371269,0.00042819788,0.0019541178,0.0003631002,0.000001764797,0.00028674552,0.0002260981],"genre_scores_gemma":[0.9857322,0.00011396786,0.012880533,0.0004899162,0.0005699454,0.000042405012,0.000055994744,0.000041100033,0.00007395852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965428,0.000235395,0.0007158005,0.0009440328,0.00061617594,0.00094575825],"domain_scores_gemma":[0.9973756,0.00068362645,0.0002952525,0.0011161751,0.0002644356,0.00026492713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008472175,0.0003886383,0.00041120392,0.00023354593,0.0002613934,0.0003908782,0.0014450384,0.0004613867,0.000038547896],"category_scores_gemma":[0.0000611145,0.0004235371,0.000149971,0.001226795,0.00021492034,0.00036871107,0.0004360797,0.0014513525,0.000101809994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025132578,0.00027407348,0.0019500424,0.000008084224,0.000025462394,0.00004793429,0.0006921923,0.9274969,0.00020579132,0.03672674,0.0004581721,0.03208948],"study_design_scores_gemma":[0.0006427153,0.000041226234,0.03399697,0.000046329315,0.000011410404,0.000041110412,0.00002541951,0.9633756,0.000027651166,0.00052582315,0.000823916,0.00044178293],"about_ca_topic_score_codex":0.000024981295,"about_ca_topic_score_gemma":0.00042349347,"teacher_disagreement_score":0.42639354,"about_ca_system_score_codex":0.000106276224,"about_ca_system_score_gemma":0.0000862947,"threshold_uncertainty_score":0.99982166},"labels":[],"label_agreement":null},{"id":"W1988969082","doi":"10.1016/j.adhoc.2008.06.001","title":"HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network","year":2008,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":234,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Destination-Sequenced Distance Vector routing; Computer science; Ant colony optimization algorithms; Link-state routing protocol; Distance-vector routing protocol; Hybrid routing; Distributed computing; Computer network; Wireless Routing Protocol; Dynamic Source Routing; Optimized Link State Routing Protocol; Mobile ad hoc network; Ad hoc On-Demand Distance Vector Routing; Routing protocol; Static routing; Swarm intelligence; Algorithm; Network packet; Particle swarm optimization","score_opus":0.0117247028281354,"score_gpt":0.2278753296525496,"score_spread":0.21615062682441422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988969082","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011334153,0.027188316,0.96570194,0.00014122896,0.0025439556,0.0020969757,0.0000145471895,0.00078877085,0.00039086735],"genre_scores_gemma":[0.0819372,0.016638482,0.8915144,0.0020698498,0.0038081072,0.0019059102,0.0002706194,0.00022525899,0.0016301265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99499923,0.00022938853,0.0009429745,0.0014195817,0.0005679792,0.001840852],"domain_scores_gemma":[0.9964656,0.00071891764,0.0005665388,0.0014895977,0.00034154687,0.00041779602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092802057,0.0006407422,0.0007647125,0.00011489882,0.0011157384,0.00029801825,0.0016884202,0.00034661827,0.00005233729],"category_scores_gemma":[0.000043371885,0.00067612145,0.00034852017,0.0012321465,0.00018969348,0.0008784137,0.00066621316,0.0006409998,0.000038098435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027051474,0.00007256824,0.000051095914,0.0000056271574,0.000050297785,0.0000726151,0.0001637029,0.6389969,0.0000011970267,0.00022339627,0.02751503,0.33282053],"study_design_scores_gemma":[0.001204503,0.0006208036,0.00010207291,0.00009870759,0.000036658912,0.0002188142,0.00001628594,0.9096516,0.000014359583,0.00027188956,0.08705397,0.00071037264],"about_ca_topic_score_codex":0.0000055153737,"about_ca_topic_score_gemma":0.00002053847,"teacher_disagreement_score":0.33211014,"about_ca_system_score_codex":0.00024118667,"about_ca_system_score_gemma":0.00021400607,"threshold_uncertainty_score":0.999569},"labels":[],"label_agreement":null},{"id":"W1988995727","doi":"10.1016/j.adhoc.2014.12.001","title":"TOA-based joint synchronization and source localization with random errors in sensor positions and sensor clock biases","year":2014,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Cramér–Rao bound; Synchronization (alternating current); Position (finance); Computer science; Clock synchronization; Noise (video); Joint (building); Algorithm; Upper and lower bounds; Time of arrival; Wireless sensor network; Observational error; Real-time computing; Estimation theory; Mathematics; Statistics; Artificial intelligence; Telecommunications; Engineering; Wireless","score_opus":0.006884454109065977,"score_gpt":0.1886045590287481,"score_spread":0.1817201049196821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988995727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13963059,0.0011424553,0.8582813,0.0000939386,0.00007277892,0.00023923958,0.0000030750934,0.00044862652,0.00008800095],"genre_scores_gemma":[0.9974136,0.00043694663,0.0017899183,0.00015363096,0.000053906348,0.000021346696,0.00006835449,0.0000400588,0.000022269542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992329,0.000051331823,0.0002095025,0.0001936041,0.000091935166,0.00022071748],"domain_scores_gemma":[0.99956644,0.0001223486,0.00004088757,0.0001522929,0.000068648646,0.000049401202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010843017,0.00017004863,0.00020338713,0.00015389218,0.000112067384,0.00005335385,0.000038553724,0.00015715652,0.000008502796],"category_scores_gemma":[0.00009758059,0.00015452638,0.000017393959,0.00033889897,0.00009884299,0.00009342433,0.000016303327,0.00013694132,0.000001798766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003367675,0.00001021628,0.003011035,0.00003871724,0.000010563037,0.0000023664084,0.000105139625,0.9870771,0.000030071207,0.00010024673,0.00020676001,0.009374079],"study_design_scores_gemma":[0.0015786093,0.00008355777,0.001571404,0.00016905628,0.000026755259,0.000008820256,0.00019910587,0.9942953,0.0006919764,0.000032743483,0.0011304158,0.00021224101],"about_ca_topic_score_codex":0.000011288928,"about_ca_topic_score_gemma":0.00013206211,"teacher_disagreement_score":0.85778296,"about_ca_system_score_codex":0.00004101913,"about_ca_system_score_gemma":0.000008053215,"threshold_uncertainty_score":0.6301403},"labels":[],"label_agreement":null},{"id":"W1990105444","doi":"10.1016/j.adhoc.2006.05.017","title":"An overlay approach to data security in ad-hoc networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Mobile ad hoc network; Wireless ad hoc network; Overlay; Overlay network; Vehicular ad hoc network; Overhead (engineering); Key management; Encryption; Adaptive quality of service multi-hop routing; Node (physics); Key (lock); Network layer; Optimized Link State Routing Protocol; Distributed computing; Layer (electronics); Computer security; Wireless; Routing protocol; Telecommunications; The Internet; Engineering; Operating system; Routing (electronic design automation)","score_opus":0.015957487558177445,"score_gpt":0.24971047214340436,"score_spread":0.23375298458522692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990105444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073760943,0.019634558,0.9613393,0.00045436042,0.0016411176,0.0013398604,0.000020099951,0.00077292684,0.007421667],"genre_scores_gemma":[0.94540703,0.0011985566,0.048461925,0.0019074666,0.0018815325,0.00019821739,0.0005851188,0.00011829083,0.0002418684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99321985,0.0005080871,0.001017724,0.002572672,0.00075135875,0.0019302837],"domain_scores_gemma":[0.9925421,0.000302817,0.00028866658,0.006166501,0.000119575554,0.00058035937],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0018313695,0.00071314984,0.00078342186,0.00023419397,0.00028491588,0.00071953016,0.006861921,0.0006027074,0.000046064193],"category_scores_gemma":[0.00002478882,0.00074658386,0.0001338018,0.0022114187,0.00012938095,0.00205444,0.0025464597,0.0013667506,0.00007966906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071604656,0.0006518064,0.0011874846,0.0000134179445,0.00002808824,0.00008572343,0.00029337712,0.7578318,0.0000047260273,0.008200088,0.086377785,0.14525406],"study_design_scores_gemma":[0.0007325989,0.00019077807,0.005888653,0.00006200989,0.000017034694,0.00003266356,0.000026765398,0.9149607,0.0000023336297,0.0018812508,0.07538285,0.0008223702],"about_ca_topic_score_codex":0.00011486413,"about_ca_topic_score_gemma":0.0018595713,"teacher_disagreement_score":0.93803096,"about_ca_system_score_codex":0.00022328382,"about_ca_system_score_gemma":0.0001236064,"threshold_uncertainty_score":0.99949855},"labels":[],"label_agreement":null},{"id":"W1991586137","doi":"10.1016/j.adhoc.2011.12.001","title":"Decomposing broadcast algorithms using abstract MAC layers","year":2011,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Probabilistic logic; Randomized algorithm; Algorithm; Node (physics); Layer (electronics); Upper and lower bounds; Probabilistic analysis of algorithms; Graph; Message passing; Broadcasting (networking); Physical layer; Computer network; Wireless; Theoretical computer science; Distributed computing; Mathematics; Artificial intelligence; Telecommunications","score_opus":0.043519398581772166,"score_gpt":0.2606728368978957,"score_spread":0.21715343831612355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991586137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023074921,0.005852812,0.9605031,0.00004604031,0.0023590198,0.00036787707,0.0000014215096,0.0005340693,0.0072607524],"genre_scores_gemma":[0.7621468,0.00046520564,0.23603788,0.00055803696,0.0005846085,0.000020990741,0.0000063305247,0.00006805697,0.000112094494],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970012,0.000094872885,0.00056593615,0.0008687405,0.0003856726,0.0010836169],"domain_scores_gemma":[0.9978717,0.0001447254,0.00029128464,0.0012357123,0.00010739982,0.0003491764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052201684,0.00041225794,0.00038927147,0.00012722466,0.0003452252,0.0002779328,0.0015972157,0.0002731777,0.00017989006],"category_scores_gemma":[0.000009979017,0.0004249948,0.00019321377,0.00071283226,0.000118644486,0.00092736096,0.0005630803,0.00062840973,0.000106656975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035301888,0.0001656117,0.0008393821,0.000013239574,0.00010686579,0.00033578594,0.0012023557,0.059049346,0.00018161362,0.0025489097,0.0020429133,0.93347865],"study_design_scores_gemma":[0.0004557401,0.00009872265,0.002742966,0.00010778963,0.000027683122,0.00015279977,0.00004186548,0.9863907,0.0002290332,0.00090046134,0.008235063,0.0006171519],"about_ca_topic_score_codex":0.0000753743,"about_ca_topic_score_gemma":0.000023662305,"teacher_disagreement_score":0.9328615,"about_ca_system_score_codex":0.00013846249,"about_ca_system_score_gemma":0.000082887855,"threshold_uncertainty_score":0.9998202},"labels":[],"label_agreement":null},{"id":"W1992056369","doi":"10.1016/j.adhoc.2014.09.009","title":"A hybrid clustering technique using quantitative and qualitative data for wireless sensor networks","year":2014,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cistel Technology (Canada); Carleton University","funders":"","keywords":"Cluster analysis; Wireless sensor network; RSS; Computer science; Global Positioning System; Data mining; Hierarchical clustering; Energy consumption; Real-time computing; Computer network; Engineering; Machine learning; Telecommunications","score_opus":0.05672867552820366,"score_gpt":0.3288585757186432,"score_spread":0.27212990019043953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992056369","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014542395,0.002046954,0.98115057,0.00018829462,0.00073681964,0.0008492168,0.000020637446,0.0003751445,0.000089941044],"genre_scores_gemma":[0.48692665,0.00026324677,0.5118829,0.00030164525,0.00032992294,0.000081880375,0.000091961745,0.00007469022,0.000047117224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958857,0.0007114933,0.0006360202,0.0014432761,0.00031717983,0.0010062916],"domain_scores_gemma":[0.99466443,0.002533755,0.00042498333,0.0018985603,0.00023065698,0.00024758873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023431035,0.0004926664,0.00064514263,0.00016056014,0.0005135918,0.00036895025,0.0017412018,0.0002409365,0.0000018321333],"category_scores_gemma":[0.00016280617,0.0004965628,0.00009996697,0.000507345,0.0002666353,0.00078158104,0.0015522137,0.0005053025,0.0000017865365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007860095,0.000049264057,0.0000138836285,0.000037167174,0.0000754091,0.00001497954,0.00082534173,0.9543218,0.00018409568,0.013437565,0.00063517573,0.030326698],"study_design_scores_gemma":[0.0006095297,0.00023681628,0.000017469869,0.0002498566,0.000038147984,0.00008316387,0.00023314822,0.9953748,0.00008529703,0.000485863,0.0019624403,0.00062344543],"about_ca_topic_score_codex":0.000027772056,"about_ca_topic_score_gemma":0.00006485178,"teacher_disagreement_score":0.47238424,"about_ca_system_score_codex":0.00008036637,"about_ca_system_score_gemma":0.000044703625,"threshold_uncertainty_score":0.9997486},"labels":[],"label_agreement":null},{"id":"W1992330282","doi":"10.1016/j.adhoc.2011.10.002","title":"Multicast with cooperative gateways in multi-channel wireless mesh networks","year":2011,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Simon Fraser University","funders":"","keywords":"Multicast; Computer network; Wireless mesh network; Computer science; Channel (broadcasting); Source-specific multicast; Protocol Independent Multicast; Wireless network; Wireless; Distributed computing; Telecommunications","score_opus":0.029663942456499014,"score_gpt":0.23525406137479662,"score_spread":0.20559011891829762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992330282","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012590872,0.0016040431,0.98229635,0.000066454224,0.0009531588,0.0010598819,0.0000024082653,0.00045996974,0.00096688856],"genre_scores_gemma":[0.9779951,0.0009018258,0.019509304,0.00064870843,0.00024704926,0.0003237391,0.0000137364905,0.00009624992,0.00026431555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955428,0.0003443251,0.0007546073,0.0013792627,0.00041271254,0.0015662677],"domain_scores_gemma":[0.99720913,0.0002758331,0.00029770524,0.0015118413,0.0002589068,0.00044659793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006747287,0.00069661206,0.00076503755,0.00017894099,0.0002756993,0.0002233955,0.0018696199,0.00044348676,0.00006677216],"category_scores_gemma":[0.000019154859,0.0005992425,0.00012637548,0.0016088082,0.00031186576,0.0009856123,0.00067803427,0.0011782567,0.00006557433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005777212,0.0015017756,0.007651367,0.000031129963,0.00025962063,0.001593842,0.00901641,0.8485303,0.000010180409,0.021394933,0.0022790616,0.107153654],"study_design_scores_gemma":[0.0021892905,0.0004285163,0.0055317017,0.00021910458,0.000020690111,0.00006334972,0.00015691033,0.99016565,0.00006127574,0.0001039253,0.00025005746,0.0008095351],"about_ca_topic_score_codex":0.00011072285,"about_ca_topic_score_gemma":0.0026153014,"teacher_disagreement_score":0.9654042,"about_ca_system_score_codex":0.00014531543,"about_ca_system_score_gemma":0.00011386931,"threshold_uncertainty_score":0.9996459},"labels":[],"label_agreement":null},{"id":"W1994650661","doi":"10.1016/j.adhoc.2010.07.018","title":"Design of a lightweight authentication scheme for IEEE 802.11p vehicular networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Authentication protocol; Handover; Authentication (law); Wireless network; Lightweight Extensible Authentication Protocol; Wireless; Computer security; Telecommunications","score_opus":0.016696612575326588,"score_gpt":0.26960695621465075,"score_spread":0.2529103436393242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994650661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016065983,0.00042758277,0.9915623,0.00028465284,0.0008446968,0.0050434717,0.0000016627436,0.00019503715,0.00003401442],"genre_scores_gemma":[0.5974908,0.000055348282,0.3989261,0.00017290672,0.00026657016,0.0029131873,0.000013235008,0.000033628006,0.00012822969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800515,0.00009614179,0.0005296615,0.00059314194,0.00027606037,0.0004998333],"domain_scores_gemma":[0.9974194,0.00038882904,0.00042106796,0.001269582,0.00034768225,0.00015342236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007488245,0.00024089885,0.0002953883,0.00008530433,0.00019310563,0.00009631939,0.0012362816,0.00026697238,0.000020469548],"category_scores_gemma":[0.00008017061,0.0002328953,0.00013171317,0.0005067849,0.000121225225,0.0005336403,0.00015001735,0.00041681694,0.000016459606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022482658,0.0008915965,0.00030691395,0.00013737557,0.00019157032,0.000008450161,0.002096529,0.18652453,0.0349206,0.6104855,0.0023110597,0.16190107],"study_design_scores_gemma":[0.0005553949,0.00011546684,0.00016261254,0.00003876386,0.000018831315,0.0000053219915,0.0000038892645,0.9533377,0.0047233254,0.036127485,0.0046572927,0.00025389116],"about_ca_topic_score_codex":6.084159e-7,"about_ca_topic_score_gemma":0.000003953567,"teacher_disagreement_score":0.7668132,"about_ca_system_score_codex":0.00002871671,"about_ca_system_score_gemma":0.00007493271,"threshold_uncertainty_score":0.9497195},"labels":[],"label_agreement":null},{"id":"W1996188591","doi":"10.1016/j.adhoc.2004.03.001","title":"Connectivity maintenance and coverage preservation in wireless sensor networks","year":2004,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":162,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Computer security","score_opus":0.00818260749741151,"score_gpt":0.208466416028884,"score_spread":0.20028380853147248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996188591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33713913,0.001416126,0.6593858,0.00061299425,0.00052441296,0.0002698612,8.5136236e-7,0.000206316,0.00044449914],"genre_scores_gemma":[0.9902,0.0022797168,0.0062788757,0.0007984614,0.00021006304,0.00003939101,0.000011773522,0.000037590846,0.00014416038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719614,0.00019692935,0.00045431237,0.0009185385,0.00031917825,0.00091492484],"domain_scores_gemma":[0.9982579,0.00040659212,0.00021352577,0.0008238265,0.00010700167,0.00019120704],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005904496,0.00035841428,0.00042204603,0.00012940007,0.0002000567,0.00024634076,0.0006901579,0.00031574894,0.0000036130862],"category_scores_gemma":[0.00004930879,0.000364492,0.00007577428,0.001040864,0.00014182866,0.0009188749,0.0004209152,0.00066841213,0.0000054098446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037680802,0.000091786824,0.0026795536,0.000007774784,0.000013395537,0.000097173,0.00015802933,0.9372906,0.000027481963,0.029347511,0.0001301938,0.030118799],"study_design_scores_gemma":[0.0015621696,0.00010512211,0.019251173,0.00018888204,0.0000059512513,0.00004170818,0.000015056475,0.97608125,0.000044387165,0.0013681534,0.0008912493,0.00044487457],"about_ca_topic_score_codex":0.000087233755,"about_ca_topic_score_gemma":0.000698558,"teacher_disagreement_score":0.6531069,"about_ca_system_score_codex":0.00020664358,"about_ca_system_score_gemma":0.00005255924,"threshold_uncertainty_score":0.99988073},"labels":[],"label_agreement":null},{"id":"W2001622031","doi":"10.1016/j.adhoc.2009.08.007","title":"Placement of multiple mobile data collectors in wireless sensor networks","year":2009,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Wireless sensor network; Computer science; Energy consumption; Relay; Sink (geography); Computer network; Solver; Real-time computing; Distributed computing; Engineering; Electrical engineering; Geography","score_opus":0.01686273908227835,"score_gpt":0.2450416453912845,"score_spread":0.22817890630900617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001622031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23802783,0.0064427615,0.75149757,0.00020240592,0.0015083578,0.001043446,0.000012660104,0.00038795682,0.00087702554],"genre_scores_gemma":[0.9837858,0.0015101632,0.013687442,0.00036437693,0.00023726808,0.000032238622,0.00011168961,0.00003575708,0.00023524731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99605316,0.00027027144,0.0008974082,0.0011677016,0.0005451196,0.0010663297],"domain_scores_gemma":[0.9959184,0.00064082746,0.00037910807,0.0027235616,0.00011852238,0.00021960969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007719235,0.00043377053,0.0006611084,0.00024015407,0.00015083524,0.000121416386,0.0029142103,0.00032734807,0.000017187593],"category_scores_gemma":[0.000038733342,0.00043938236,0.00010850945,0.001980963,0.00011358859,0.0004546718,0.000816787,0.0005983006,0.000006773372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007131811,0.0003173506,0.0015820459,0.000005830579,0.00002506721,0.00004885298,0.00014160204,0.9507491,0.00008256309,0.0005063147,0.00288474,0.04358523],"study_design_scores_gemma":[0.0012103474,0.0003071746,0.0022278503,0.0001437148,0.000012589171,0.000010927925,0.00004927494,0.99268985,0.00014643715,0.00001570613,0.002737034,0.00044911914],"about_ca_topic_score_codex":0.000033376502,"about_ca_topic_score_gemma":0.00028868596,"teacher_disagreement_score":0.745758,"about_ca_system_score_codex":0.00014495541,"about_ca_system_score_gemma":0.00008177959,"threshold_uncertainty_score":0.9998058},"labels":[],"label_agreement":null},{"id":"W2008165543","doi":"10.1016/j.adhoc.2003.09.014","title":"Talk and let talk: performance of Bluetooth piconets with synchronous traffic","year":2003,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Burstiness; Asynchronous communication; Computer network; Computer science; Scheduling (production processes); Queue; Network packet; Queueing theory; Quality of service; Bluetooth; Bandwidth (computing); Wireless; Telecommunications; Engineering","score_opus":0.007041185998124444,"score_gpt":0.19173949131005766,"score_spread":0.1846983053119332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008165543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9469286,0.011729672,0.039887067,0.00019498136,0.0000757327,0.00015510185,5.993057e-7,0.00026641303,0.00076183275],"genre_scores_gemma":[0.98051125,0.003687504,0.015590614,0.00010054465,0.0000085345155,0.000018938226,0.0000016935768,0.000010625925,0.00007030387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905497,0.000048177273,0.00020447905,0.00026659959,0.0001357337,0.00029005302],"domain_scores_gemma":[0.99877596,0.00008432526,0.00013874625,0.00088663015,0.000053180793,0.00006113506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001685214,0.00015241811,0.000214453,0.00007237237,0.0001288429,0.00006310069,0.0007359051,0.000112081456,0.0000059036183],"category_scores_gemma":[0.000012802364,0.00012573582,0.00002586249,0.00038784347,0.0002349103,0.000329275,0.00015352998,0.00023259141,0.0000024384553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028027904,0.00012346647,0.0014223728,0.00004741925,0.000048092068,0.000019237452,0.0003351092,0.03272317,0.00006364737,0.013068662,0.0003076133,0.95181316],"study_design_scores_gemma":[0.0025282716,0.0024060714,0.01427463,0.00036488025,0.000042203654,0.0005564274,0.00034337697,0.9254678,0.0052581304,0.00050107157,0.04706838,0.0011887441],"about_ca_topic_score_codex":0.0000025327943,"about_ca_topic_score_gemma":0.000025813704,"teacher_disagreement_score":0.95062447,"about_ca_system_score_codex":0.000015556356,"about_ca_system_score_gemma":0.00004852202,"threshold_uncertainty_score":0.5127358},"labels":[],"label_agreement":null},{"id":"W2012190122","doi":"10.1016/j.adhoc.2011.08.002","title":"Editorial for the special issue of Ad Hoc Networks journal on Recent advances in analysis and deployment of IEEE 802.11e and IEEE 802.11p protocol families","year":2011,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; IEEE 802; Wireless ad hoc network; Protocol (science); IEEE 802.11s; Telecommunications; Wireless network; Medicine; Wireless; Quality of service","score_opus":0.017909786444329712,"score_gpt":0.2802684433246042,"score_spread":0.2623586568802745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012190122","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003192753,0.017752795,0.7267917,0.00053608255,0.05473348,0.19610599,0.000025152764,0.000113472975,0.0007485775],"genre_scores_gemma":[0.09057619,0.14558786,0.035582196,0.0010300297,0.38071188,0.34597602,0.000018877385,0.00025681438,0.00026010777],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99724084,0.00024334516,0.00088997174,0.00053824397,0.00050220883,0.00058541796],"domain_scores_gemma":[0.9976969,0.0006083294,0.0007119313,0.00056276703,0.0002560305,0.0001640936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013246918,0.00034893825,0.0007206432,0.00020769959,0.00024713148,0.00014245293,0.00082274544,0.00025981085,0.00003012765],"category_scores_gemma":[0.000028236147,0.0002473678,0.0001895353,0.0009462312,0.0002347067,0.000450933,0.00016750058,0.0005495266,5.0828083e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017698049,0.0002312908,0.002035001,0.00006052635,0.00026057623,0.000005819505,0.000900048,0.08904254,0.000005913551,0.0003017529,0.03421518,0.87117153],"study_design_scores_gemma":[0.0038871535,0.0031270334,0.0043829004,0.00039751266,0.00021302266,0.000007790021,0.00013008677,0.20160769,0.00023595069,0.0014851236,0.7839766,0.00054913195],"about_ca_topic_score_codex":0.000011800268,"about_ca_topic_score_gemma":0.00047905374,"teacher_disagreement_score":0.8706224,"about_ca_system_score_codex":0.00005026106,"about_ca_system_score_gemma":0.00009226648,"threshold_uncertainty_score":0.99999785},"labels":[],"label_agreement":null},{"id":"W2014452425","doi":"10.1016/j.adhoc.2010.06.001","title":"Joint random access and power control game in ad hoc networks with noncooperative users","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Nash equilibrium; Random access; Wireless ad hoc network; Power control; Best response; Mathematical optimization; Game theory; Asynchronous communication; Constraint (computer-aided design); Strategy; Uniqueness; Node (physics); Non-cooperative game; Distributed computing; Computer network; Power (physics); Wireless; Mathematical economics; Mathematics; Telecommunications","score_opus":0.016625956451294745,"score_gpt":0.2597311546715967,"score_spread":0.24310519822030194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014452425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10902265,0.018256353,0.8649581,0.0032795793,0.0010243973,0.0012936172,0.0000022835861,0.0002571884,0.0019058149],"genre_scores_gemma":[0.983545,0.010614866,0.0031527844,0.00228396,0.0001238795,0.00008557879,0.000007501952,0.00003265769,0.0001537703],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756664,0.00038654148,0.00047389197,0.00068635464,0.00024749534,0.0006390682],"domain_scores_gemma":[0.9976576,0.0005303608,0.00020032347,0.0010988961,0.00025641578,0.00025637844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086678757,0.00038252425,0.0005629058,0.00014394007,0.00030080235,0.0007421263,0.0013020822,0.00021582677,0.000076780656],"category_scores_gemma":[0.000059631402,0.00030747987,0.00007335812,0.00090438715,0.00025624462,0.0010648819,0.0006438169,0.0013368005,0.000008223036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019305035,0.0005043776,0.012193683,0.000017770222,0.0003720855,0.00020127762,0.008162225,0.26824784,0.00047758373,0.016595433,0.0067235627,0.68457365],"study_design_scores_gemma":[0.007594531,0.00028919787,0.017387219,0.00015210755,0.000019133016,0.00003714148,0.000054310545,0.9577434,0.000020889185,0.00009592104,0.015998267,0.00060784817],"about_ca_topic_score_codex":0.0000038011926,"about_ca_topic_score_gemma":0.0019426602,"teacher_disagreement_score":0.8745223,"about_ca_system_score_codex":0.000050551902,"about_ca_system_score_gemma":0.00010458826,"threshold_uncertainty_score":0.9999377},"labels":[],"label_agreement":null},{"id":"W2023881549","doi":"10.1016/j.adhoc.2004.08.002","title":"The impact of MAC parameters on the performance of 802.15.4 PAN","year":2004,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Network packet; Beacon; Computer network; Idle; Markov chain; Queue; Real-time computing; Throughput; Wireless; Telecommunications","score_opus":0.015360544056906542,"score_gpt":0.2582830764607099,"score_spread":0.24292253240380338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023881549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624134,0.0013915803,0.030735476,0.0009532256,0.00031423345,0.0032168697,0.000002352914,0.000058156245,0.00091471244],"genre_scores_gemma":[0.9982267,0.0005141542,0.0006917548,0.00013776167,0.00007241176,0.0003107029,7.6091544e-7,0.000010321397,0.000035425608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879116,0.000096243646,0.00029568322,0.00020152706,0.00024165992,0.0003737109],"domain_scores_gemma":[0.99827826,0.00048200059,0.00024396261,0.00088317617,0.00005838529,0.00005421424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005609912,0.00015747482,0.00019737531,0.000023044393,0.00020641851,0.000075171454,0.001213312,0.00007545706,0.0000063769794],"category_scores_gemma":[0.000012985593,0.000076740136,0.00017898125,0.0004147141,0.00016325564,0.00013419268,0.0001517829,0.00028004972,0.0000075220873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094262236,0.000058489357,0.0012059945,0.000007675303,0.00006466443,0.0000018161935,0.0002698718,0.7843176,0.000023609351,0.010443346,0.001787991,0.2017247],"study_design_scores_gemma":[0.0010174883,0.002969262,0.040172536,0.00048769786,0.000015248489,0.0000120469485,0.000033080414,0.94547343,0.0019082621,0.005207977,0.0023161096,0.00038688266],"about_ca_topic_score_codex":0.000038177735,"about_ca_topic_score_gemma":0.000013462771,"teacher_disagreement_score":0.20133781,"about_ca_system_score_codex":0.00003923888,"about_ca_system_score_gemma":0.00007463726,"threshold_uncertainty_score":0.3129372},"labels":[],"label_agreement":null},{"id":"W2026407209","doi":"10.1016/j.adhoc.2010.01.004","title":"A delay-aware reliable event reporting framework for wireless sensor–actuator networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wireless sensor network; Actuator; Event (particle physics); Computer science; Wireless; Real-time computing; Computer network; Embedded system; Telecommunications; Artificial intelligence","score_opus":0.013618180345088993,"score_gpt":0.2649900388046779,"score_spread":0.2513718584595889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026407209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06649703,0.0013270333,0.92207205,0.0006704828,0.007316768,0.0008394803,0.00000363226,0.0010287298,0.00024480716],"genre_scores_gemma":[0.7525219,0.00039589906,0.24281785,0.0010940005,0.002207319,0.00023172295,0.00004681585,0.00015507507,0.0005294186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993168,0.00013008561,0.0020844028,0.0017718889,0.0007167596,0.002128885],"domain_scores_gemma":[0.99238616,0.0014684238,0.0022414334,0.0027487895,0.0005309463,0.0006242406],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019908184,0.0007682116,0.0009407084,0.0001798097,0.0008781269,0.0005870576,0.0020664083,0.0011813629,0.000040877883],"category_scores_gemma":[0.00047739287,0.00076336716,0.00055118575,0.0013082332,0.00018181336,0.00055075955,0.00068344653,0.0023675424,0.00002566856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067627785,0.00016726878,0.0007543316,0.000026697764,0.00009709623,0.00015526629,0.00018413234,0.87312865,0.00008567773,0.035123456,0.0055480404,0.08466177],"study_design_scores_gemma":[0.0005409756,0.00015942735,0.00026012826,0.00025075133,0.000045985566,0.00016435982,0.00003894047,0.97268116,0.00014289096,0.0018224186,0.022972504,0.00092047657],"about_ca_topic_score_codex":0.000021260943,"about_ca_topic_score_gemma":0.00012596778,"teacher_disagreement_score":0.68602484,"about_ca_system_score_codex":0.00012787893,"about_ca_system_score_gemma":0.00016487276,"threshold_uncertainty_score":0.999934},"labels":[],"label_agreement":null},{"id":"W2028729909","doi":"10.1016/j.adhoc.2010.09.006","title":"Wireless personal area networks architecture and protocols for multimedia applications","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Personal area network; Computer network; Architecture; Wireless; Protocol (science); Physical layer; Wireless network; Multimedia; Data link layer; Layer (electronics); Media access control; Telecommunications","score_opus":0.01302633603485481,"score_gpt":0.26609429036105897,"score_spread":0.25306795432620416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028729909","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006256813,0.00037242423,0.94022924,0.0005986201,0.00024018282,0.057493195,0.000008620595,0.0002553158,0.00017673902],"genre_scores_gemma":[0.21132012,0.00011232402,0.16729958,0.0012702679,0.0032942144,0.616117,0.00008169154,0.00010389476,0.00040093213],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978207,0.00005792678,0.00035529427,0.0007899391,0.00022799468,0.00074817066],"domain_scores_gemma":[0.9980382,0.0005356251,0.00019891476,0.0007498793,0.00014019218,0.00033718653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004637092,0.00035014024,0.000360696,0.000068666624,0.0004698219,0.0004053618,0.00096608815,0.0003854933,0.000019525382],"category_scores_gemma":[0.000014138168,0.0003092513,0.0001372528,0.00039643186,0.00018719932,0.00025120398,0.00028561044,0.00091060397,0.0000042257043],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067269604,0.000085077896,0.00046766366,0.000039251565,0.000032159198,0.0000035555192,0.00025631976,0.01048228,0.00009435616,0.005956343,0.0033783223,0.9791374],"study_design_scores_gemma":[0.0008175202,0.00012809403,0.0005548463,0.000060285744,0.000009219205,0.000027834263,0.0000061237315,0.82341045,0.000019092162,0.0016646829,0.17295115,0.00035068844],"about_ca_topic_score_codex":0.0000029165699,"about_ca_topic_score_gemma":0.00010630677,"teacher_disagreement_score":0.9787867,"about_ca_system_score_codex":0.00001626671,"about_ca_system_score_gemma":0.000073200565,"threshold_uncertainty_score":0.999936},"labels":[],"label_agreement":null},{"id":"W2043762646","doi":"10.1016/j.adhoc.2008.07.003","title":"Game theoretic approach in routing protocol for wireless ad hoc networks","year":2008,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer network; Computer science; Ad hoc On-Demand Distance Vector Routing; Optimized Link State Routing Protocol; Routing protocol; Wireless ad hoc network; Flooding (psychology); Wireless Routing Protocol; Ad hoc wireless distribution service; Network packet; Dynamic Source Routing; Distributed computing; Wireless; Telecommunications","score_opus":0.022313076669368586,"score_gpt":0.26061552696124407,"score_spread":0.2383024502918755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043762646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017446539,0.0014395447,0.9101521,0.00012009926,0.00052964553,0.083552696,0.0000018063113,0.00054667715,0.0019127801],"genre_scores_gemma":[0.639031,0.0005458611,0.03847521,0.0009508452,0.0012346652,0.31907022,0.00004301834,0.00018815871,0.00046103526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99397,0.0004351537,0.0011855143,0.0016892994,0.00059412856,0.0021259105],"domain_scores_gemma":[0.99621063,0.00076866976,0.0005387489,0.0019067858,0.00019203807,0.0003830964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015480533,0.00076464756,0.0009136129,0.00019110611,0.00046541245,0.00029375136,0.002638718,0.00065390195,0.000022865199],"category_scores_gemma":[0.000040067483,0.00073180196,0.00034446648,0.0016680058,0.00036685952,0.000760861,0.00081596186,0.001295181,0.00001923451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039232685,0.00053670525,0.0019555253,0.00012430664,0.00007300485,0.00013891193,0.0015246508,0.6344496,0.0000040113473,0.035019692,0.005705395,0.32007584],"study_design_scores_gemma":[0.0029413204,0.0003533044,0.0010884401,0.00029487556,0.000013822275,0.00012287866,0.000038963026,0.9796487,0.0000088224215,0.001885334,0.012751387,0.000852139],"about_ca_topic_score_codex":0.000004854902,"about_ca_topic_score_gemma":0.000036346624,"teacher_disagreement_score":0.87167686,"about_ca_system_score_codex":0.0002489104,"about_ca_system_score_gemma":0.00019682613,"threshold_uncertainty_score":0.9995133},"labels":[],"label_agreement":null},{"id":"W2045099094","doi":"10.1016/j.adhoc.2010.06.006","title":"Mobility impact in IEEE 802.11p infrastructureless vehicular networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; IEEE 802.11p; Unicast; Vehicular ad hoc network; Wireless ad hoc network; IEEE 802.11; Network packet; Node (physics); Throughput; Mobile ad hoc network; Network performance; Wireless; Telecommunications; Engineering","score_opus":0.003899155917060626,"score_gpt":0.21484610514444272,"score_spread":0.21094694922738208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045099094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586288,0.00625017,0.028841075,0.000029339151,0.0038813115,0.0007894355,0.0000124472435,0.0008043758,0.00076308765],"genre_scores_gemma":[0.9958984,0.0010635144,0.0008827982,0.00014446877,0.001533236,0.00010909276,0.00010667379,0.00022457419,0.00003719373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959341,0.00014313827,0.0008566643,0.00078053423,0.00042824115,0.0018572793],"domain_scores_gemma":[0.9975248,0.00024384864,0.00012738911,0.001449888,0.00009872454,0.00055533793],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00086628756,0.00082910166,0.0008655759,0.00020697391,0.00014471196,0.00017773185,0.00081246,0.0011471102,0.0003630631],"category_scores_gemma":[0.00004161043,0.0008098141,0.00038887086,0.0011125292,0.00019794655,0.00041581574,0.00013508306,0.0037371223,0.00005544498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045307548,0.000053511318,0.008340186,0.000025386033,0.000103703045,0.00010744517,0.00007622852,0.9553475,0.0005020351,0.00004910744,0.0040893867,0.031260226],"study_design_scores_gemma":[0.00086691155,0.00006516625,0.054279864,0.00006911025,0.000041468997,0.000075163036,0.000014095565,0.937195,0.000083442676,0.00028751863,0.006215678,0.0008066037],"about_ca_topic_score_codex":0.00005146228,"about_ca_topic_score_gemma":0.0018207531,"teacher_disagreement_score":0.045939676,"about_ca_system_score_codex":0.00029621564,"about_ca_system_score_gemma":0.000067727895,"threshold_uncertainty_score":0.99943525},"labels":[],"label_agreement":null},{"id":"W2045170966","doi":"10.1016/j.adhoc.2012.01.008","title":"Complete architecture and demonstration design for a new combined WiMAX/DSRC system with improved vehicular networking efficiency","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Simon Fraser University","funders":"","keywords":"Computer network; WiMAX; Dedicated short-range communications; Computer science; Interoperability; Service layer; Network architecture; Internet access; The Internet; Node (physics); Engineering; Quality of service; Telecommunications; Operating system; Wireless","score_opus":0.01176728112986465,"score_gpt":0.19217563533807958,"score_spread":0.18040835420821494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045170966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025825305,0.020533552,0.9501142,0.000053092877,0.00077108695,0.0018246587,0.00000582189,0.0007198359,0.00015247574],"genre_scores_gemma":[0.96609867,0.00019915221,0.031699017,0.00008068025,0.0014791848,0.00015756737,0.000088542525,0.00016483886,0.000032328207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747545,0.00011716147,0.00045020727,0.0004218582,0.00023943838,0.0012958687],"domain_scores_gemma":[0.99855685,0.00032849,0.00013626606,0.00044250823,0.00006246938,0.00047343533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061239704,0.0005314793,0.0005494259,0.00009164947,0.00029095114,0.00015144942,0.00023815401,0.000307523,0.0000039274155],"category_scores_gemma":[0.000010601736,0.0004768566,0.00011133445,0.00040504185,0.000085083506,0.00024031097,0.000051220715,0.00051667885,0.0000043910345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018117708,0.00002120174,0.00024180191,0.000117990734,0.00016029808,0.000006682855,0.00020473984,0.97374916,0.00047569352,0.0002879606,0.0009360228,0.023617286],"study_design_scores_gemma":[0.0017620623,0.00034268075,0.0003540269,0.000308769,0.00018116293,0.0001472849,0.00005746498,0.9905067,0.00005019031,0.00004370537,0.005653947,0.0005920238],"about_ca_topic_score_codex":0.000007698041,"about_ca_topic_score_gemma":0.000050135586,"teacher_disagreement_score":0.9402734,"about_ca_system_score_codex":0.0001469046,"about_ca_system_score_gemma":0.00004724014,"threshold_uncertainty_score":0.9997683},"labels":[],"label_agreement":null},{"id":"W2051835942","doi":"10.1016/j.adhoc.2014.07.022","title":"GeoCover: An efficient sparse coverage protocol for RSU deployment over urban VANETs","year":2014,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Scalability; Protocol (science); Software deployment; Vehicular ad hoc network; Computer network; Resource (disambiguation); Greedy algorithm; Quality of service; Distributed computing; TRACE (psycholinguistics); Wireless ad hoc network; Wireless; Algorithm; Telecommunications","score_opus":0.010804452544878876,"score_gpt":0.2449941019760136,"score_spread":0.2341896494311347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051835942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1273665,0.0008602594,0.62734264,0.00006252734,0.002542892,0.23541859,0.00005851309,0.002771321,0.0035767308],"genre_scores_gemma":[0.7955648,0.00004064259,0.002945274,0.0006418576,0.0025090359,0.1971044,0.0002087228,0.0004535665,0.0005317585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967636,0.00012369474,0.0006089017,0.0007023135,0.0004533708,0.0013481359],"domain_scores_gemma":[0.9980666,0.00020992389,0.00013530617,0.0010471235,0.0000755332,0.00046550488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063954806,0.0006216844,0.0005516224,0.00009877638,0.00019719635,0.00018587722,0.00049180054,0.00032095824,0.00020411126],"category_scores_gemma":[0.000025671512,0.000627603,0.00024156633,0.00026434212,0.00006042276,0.00022412426,0.00011259158,0.00051198836,0.00009650705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014809362,0.00014681107,0.00035770165,0.000094584684,0.000085806736,0.000014911475,0.00007271826,0.9446285,0.000049375958,0.0004033375,0.036516897,0.017481266],"study_design_scores_gemma":[0.0020278096,0.0002828229,0.0007805335,0.00009008926,0.000036878057,0.000010761433,0.0000025627644,0.6525975,0.00007573851,0.000106648804,0.34348038,0.00050828647],"about_ca_topic_score_codex":0.000009825923,"about_ca_topic_score_gemma":0.0001322831,"teacher_disagreement_score":0.6681982,"about_ca_system_score_codex":0.0002560937,"about_ca_system_score_gemma":0.000028999855,"threshold_uncertainty_score":0.9996175},"labels":[],"label_agreement":null},{"id":"W2058968692","doi":"10.1016/j.adhoc.2010.02.004","title":"Energy-efficient proactive routing in MANET: Energy metrics accuracy","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Optimized Link State Routing Protocol; Computer science; Routing protocol; Computer network; Link-state routing protocol; Wireless Routing Protocol; Zone Routing Protocol; Dynamic Source Routing; Mobile ad hoc network; Network packet; Distributed computing","score_opus":0.009895786335319678,"score_gpt":0.22909054498256246,"score_spread":0.21919475864724278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058968692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013251215,0.0019240454,0.9752901,0.00026586733,0.0025438657,0.00027752045,0.0000014290722,0.00035469903,0.0060912087],"genre_scores_gemma":[0.9859461,0.0004081381,0.01161629,0.0008766003,0.00062753825,0.00015093024,0.000014369945,0.000051709325,0.0003083289],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963047,0.00019952617,0.0006420725,0.0010924443,0.00056762435,0.0011936126],"domain_scores_gemma":[0.9968357,0.00093872024,0.00034891974,0.0014406358,0.00014601549,0.00028999022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008265007,0.00043139773,0.0004361848,0.00035964596,0.00022354431,0.00033427164,0.0019395138,0.0004103593,0.00004156173],"category_scores_gemma":[0.00012800594,0.0004255479,0.00014737397,0.0028003159,0.0000982433,0.00051922776,0.0009075932,0.0010841809,0.000018088705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020670603,0.00021480763,0.00038482438,0.0000030555543,0.00003586512,0.000104461054,0.00028990512,0.12339086,0.00008282007,0.15687859,0.0013468204,0.7172473],"study_design_scores_gemma":[0.00049676734,0.00007400348,0.0011448386,0.000029032048,0.000010432052,0.000035555855,0.000021590602,0.9659533,0.0002797821,0.0011939481,0.030273587,0.00048719748],"about_ca_topic_score_codex":0.00014795021,"about_ca_topic_score_gemma":0.00085469155,"teacher_disagreement_score":0.9726949,"about_ca_system_score_codex":0.0001487174,"about_ca_system_score_gemma":0.00013359835,"threshold_uncertainty_score":0.99981964},"labels":[],"label_agreement":null},{"id":"W2059033491","doi":"10.1016/j.adhoc.2010.08.005","title":"Wireless multimedia sensor and actor networks for the next generation power grid","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Wireless sensor network; SCADA; Wireless; Grid; Key distribution in wireless sensor networks; Wireless network; Embedded system; Telecommunications; Distributed computing; Computer network; Engineering; Electrical engineering","score_opus":0.016011097090121894,"score_gpt":0.2067887693126555,"score_spread":0.1907776722225336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059033491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5013939,0.0062852493,0.465074,0.0005383024,0.024318239,0.0011895254,0.000011240178,0.00064941647,0.0005401257],"genre_scores_gemma":[0.9901364,0.0017151472,0.0026941553,0.00026610997,0.004688052,0.00016898532,0.000058578786,0.00008158126,0.00019100192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907815,0.000015654527,0.00019159185,0.0002254851,0.000105682106,0.00038342713],"domain_scores_gemma":[0.9992046,0.00025934848,0.000035599496,0.00037088906,0.000037303038,0.00009228117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001992929,0.00021019264,0.0001559087,0.00003204017,0.000159108,0.00013212813,0.0001660315,0.00017640204,0.000053426887],"category_scores_gemma":[0.000015913849,0.00016665734,0.00005874546,0.000109957924,0.000055288307,0.00014856739,0.00005796405,0.00034922233,0.000006579204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012356688,0.000008569654,0.00013138555,0.000007163907,0.000091178204,0.000002055629,0.000077860626,0.8968243,0.0012926357,0.0001924154,0.037148412,0.06421167],"study_design_scores_gemma":[0.00031107,0.000019447132,0.0018356662,0.000006155614,0.00003601446,0.0000027605856,0.000025731322,0.8819325,0.00009956356,0.00000427355,0.11553999,0.00018681436],"about_ca_topic_score_codex":0.000004271606,"about_ca_topic_score_gemma":0.00023412213,"teacher_disagreement_score":0.4887425,"about_ca_system_score_codex":0.000021271697,"about_ca_system_score_gemma":0.000004406234,"threshold_uncertainty_score":0.67960894},"labels":[],"label_agreement":null},{"id":"W2060418639","doi":"10.1016/j.adhoc.2011.06.012","title":"Bounds and parameter optimization of medium access control coding for wireless ad hoc and sensor networks","year":2011,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Linear network coding; Network topology; Wireless ad hoc network; Computer network; Coding (social sciences); Scheduling (production processes); Wireless network; Wireless sensor network; Robustness (evolution); Wireless; Topology (electrical circuits); Mathematical optimization; Mathematics; Network packet; Telecommunications","score_opus":0.04556133526905069,"score_gpt":0.27617296447104744,"score_spread":0.23061162920199674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060418639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008863059,0.01043751,0.9793036,0.00033361185,0.00034267572,0.0004929217,0.0000026041448,0.00007899633,0.00014499908],"genre_scores_gemma":[0.93734354,0.023752343,0.03807359,0.00058618735,0.00009021764,0.00007055774,0.000011295508,0.000022017255,0.00005024749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985477,0.00017435105,0.000391592,0.00040646497,0.000124747,0.00035519752],"domain_scores_gemma":[0.9981312,0.00069916376,0.00025284893,0.0005383929,0.0002395893,0.0001387745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005254692,0.00021337044,0.00036225276,0.00008153333,0.00030172593,0.00024554261,0.0006560235,0.0001504623,0.000013624118],"category_scores_gemma":[0.000049339233,0.00020102561,0.00005781454,0.0003189648,0.0001780738,0.0005981431,0.00041580314,0.00021444437,2.9280665e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056303636,0.00019566905,0.0068402356,0.00009276417,0.0003206623,0.000008061167,0.00370446,0.15858705,0.00009792864,0.016933542,0.002213437,0.81044316],"study_design_scores_gemma":[0.001146912,0.00015557346,0.0023616818,0.000092585025,0.00003421872,0.000007759767,0.000027398637,0.9948253,0.00004084797,0.00015601638,0.0009180103,0.0002336653],"about_ca_topic_score_codex":0.0000017638906,"about_ca_topic_score_gemma":0.000035886056,"teacher_disagreement_score":0.94123006,"about_ca_system_score_codex":0.000021168018,"about_ca_system_score_gemma":0.000030082421,"threshold_uncertainty_score":0.8197587},"labels":[],"label_agreement":null},{"id":"W2068320931","doi":"10.1016/j.adhoc.2004.03.013","title":"Topology and mobility considerations in mobile ad hoc networks","year":2004,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mobile ad hoc network; Computer network; Wireless ad hoc network; Computer science; Optimized Link State Routing Protocol; Node (physics); Vehicular ad hoc network; Network topology; Distributed computing; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Topology (electrical circuits); Mobility model; Routing protocol; Routing (electronic design automation); Wireless; Telecommunications; Engineering; Network packet","score_opus":0.01147546152055013,"score_gpt":0.24586382031380927,"score_spread":0.23438835879325914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068320931","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10960185,0.16517119,0.71677095,0.0022580177,0.0022973742,0.0021221216,0.000005540209,0.0006532313,0.0011197241],"genre_scores_gemma":[0.97021514,0.010156612,0.016650626,0.0019341267,0.00038555823,0.0004945289,0.000017572102,0.000042876385,0.000102971266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99617237,0.00029897288,0.00081328873,0.0012733274,0.00027659308,0.0011654551],"domain_scores_gemma":[0.9971109,0.0007221261,0.00021723984,0.0014756254,0.00012509784,0.00034901194],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084083783,0.00046800254,0.0006370681,0.00015254725,0.0003629592,0.0002910597,0.0007418067,0.0005317671,0.00009374507],"category_scores_gemma":[0.00005426324,0.00048811123,0.0001281059,0.0008608535,0.0004368413,0.00071658194,0.00070230855,0.0010271756,0.000028628845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030302717,0.00030778704,0.0013038202,0.000011720342,0.0000405938,0.00018784813,0.00073723594,0.81235605,0.000009426999,0.02581343,0.0021658172,0.15703598],"study_design_scores_gemma":[0.005106772,0.0013228606,0.021608427,0.00023077319,0.000057579706,0.0005329511,0.00023429915,0.842061,0.000044687487,0.07801129,0.048946425,0.0018429392],"about_ca_topic_score_codex":0.000026549213,"about_ca_topic_score_gemma":0.0018546385,"teacher_disagreement_score":0.8606133,"about_ca_system_score_codex":0.00023195392,"about_ca_system_score_gemma":0.00018797585,"threshold_uncertainty_score":0.99975705},"labels":[],"label_agreement":null},{"id":"W2069370482","doi":"10.1016/j.adhoc.2012.07.005","title":"Accurate time synchronization of ultrasonic TOF measurements in IEEE 802.15.4 based wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Information Technology Research Centre; Junta de Andalucía","keywords":"Pseudorange; Time division multiple access; Computer science; Synchronization (alternating current); Real-time computing; Wireless sensor network; Clock synchronization; Ultrasonic sensor; Wireless; Global Positioning System; Computer network; Telecommunications","score_opus":0.014155252885613338,"score_gpt":0.21592044897934018,"score_spread":0.20176519609372684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069370482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18136981,0.0057991925,0.80957615,0.00002458281,0.0011135867,0.00047848228,0.000007060962,0.0007805999,0.00085051596],"genre_scores_gemma":[0.9986212,0.0005244419,0.00046680353,0.000052178442,0.00015111941,0.000026405389,0.000055962257,0.00005960029,0.000042282067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856097,0.00006277807,0.0004197322,0.0001693426,0.0002092505,0.0005779471],"domain_scores_gemma":[0.99934655,0.000096858945,0.000094470335,0.00031369374,0.000081018596,0.00006741207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322144,0.00023618978,0.00030974226,0.00013787411,0.000048605296,0.000021891423,0.00020589905,0.00033402888,0.000111304005],"category_scores_gemma":[0.0000339482,0.00024456638,0.00006397386,0.00065873226,0.000055672805,0.00023281203,0.000019724714,0.00027646148,0.00003209997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016041326,0.00003773508,0.008842722,0.000037147405,0.000031244854,0.0000010248993,0.000056478675,0.9778702,0.0005130369,0.000021737744,0.0009690794,0.011603531],"study_design_scores_gemma":[0.0005641971,0.000027774515,0.0026074909,0.00013158713,0.000025805657,0.0000016303256,0.000029908362,0.989778,0.0062234974,0.0000060151433,0.000336982,0.00026712826],"about_ca_topic_score_codex":0.000004310699,"about_ca_topic_score_gemma":0.000023801931,"teacher_disagreement_score":0.8172514,"about_ca_system_score_codex":0.00015761642,"about_ca_system_score_gemma":0.000018898038,"threshold_uncertainty_score":0.9973127},"labels":[],"label_agreement":null},{"id":"W2079926867","doi":"10.1016/j.adhoc.2007.01.005","title":"Mobile ad hoc relaying for upward vertical handoff in hybrid WLAN/cellular systems","year":2007,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer network; Handover; Computer science; Wireless; Wireless ad hoc network; Guard (computer science); Mobile ad hoc network; Hybrid system; Wireless network; Telecommunications","score_opus":0.02639871520276623,"score_gpt":0.2741966811841737,"score_spread":0.24779796598140744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079926867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03636011,0.07224837,0.88887346,0.00013407058,0.0009919041,0.0007200386,9.684965e-7,0.0001732777,0.0004978297],"genre_scores_gemma":[0.9870306,0.0060640075,0.005794831,0.0003119739,0.00020929813,0.0001676169,0.000018839039,0.000026498497,0.0003763239],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789524,0.00017149931,0.0005505862,0.00048222774,0.00022250996,0.00067793747],"domain_scores_gemma":[0.998055,0.00062107574,0.00008304871,0.00092576275,0.00013628049,0.00017887782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015201082,0.00022095123,0.00033496052,0.00012641361,0.00029383248,0.00022332602,0.000960649,0.00012042489,0.000006853592],"category_scores_gemma":[0.0000618854,0.00021796087,0.00011210389,0.0005373816,0.00006031649,0.0002994847,0.00040865687,0.0004226595,0.000017578783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043533024,0.00044934344,0.0020874506,0.00010225386,0.00013568359,0.00022138584,0.0033456408,0.050477907,0.002511327,0.0434597,0.014352391,0.8824216],"study_design_scores_gemma":[0.0010576308,0.0002150412,0.00022220126,0.00019031206,0.000009353662,0.000017079085,0.000070011854,0.8823897,0.0002742784,0.00010416468,0.11512763,0.00032256558],"about_ca_topic_score_codex":0.0000015151961,"about_ca_topic_score_gemma":0.00005275019,"teacher_disagreement_score":0.9506705,"about_ca_system_score_codex":0.00015572444,"about_ca_system_score_gemma":0.000051899126,"threshold_uncertainty_score":0.8888187},"labels":[],"label_agreement":null},{"id":"W2110566685","doi":"10.1016/j.adhoc.2006.05.007","title":"Self-healing group key distribution with time-limited node revocation for wireless sensor networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer network; Keying; Computer science; Node (physics); Forward secrecy; Overhead (engineering); Group key; Wireless sensor network; Encryption; Authentication (law); Distributed computing; Public-key cryptography; Computer security; Engineering; Telecommunications","score_opus":0.0062802647671302975,"score_gpt":0.20510673432368645,"score_spread":0.19882646955655614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110566685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02057672,0.0026104746,0.9725637,0.0007030981,0.00078487874,0.0012156626,0.000019870478,0.0012927903,0.00023283696],"genre_scores_gemma":[0.8805179,0.0007653329,0.11322239,0.00063564593,0.0023487676,0.0002571928,0.0019576105,0.00012990204,0.00016523656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99607164,0.00023809886,0.0007483941,0.0011300817,0.0005110974,0.001300691],"domain_scores_gemma":[0.9968935,0.00073954824,0.0005087471,0.0012155423,0.00042333314,0.00021930934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006958412,0.00056193466,0.0005708033,0.000102918064,0.0006215236,0.00045699332,0.000985834,0.0005311887,0.0000061258506],"category_scores_gemma":[0.000020589398,0.00055006996,0.00018954037,0.0012790922,0.00011581543,0.0006693302,0.00018598625,0.0006191157,0.00002487033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023152676,0.0003375045,0.00072152464,0.00007162769,0.00011981037,0.00003116454,0.00019511378,0.9386092,0.00005611348,0.018346414,0.012904218,0.028375804],"study_design_scores_gemma":[0.0012555976,0.00022208,0.0010733667,0.00017710244,0.00007888631,0.000053693446,0.000016931916,0.9819733,0.000050512022,0.00037864034,0.014015831,0.00070404843],"about_ca_topic_score_codex":0.00004065336,"about_ca_topic_score_gemma":0.00010224687,"teacher_disagreement_score":0.8599412,"about_ca_system_score_codex":0.00032769336,"about_ca_system_score_gemma":0.00005661386,"threshold_uncertainty_score":0.99969506},"labels":[],"label_agreement":null},{"id":"W2124915873","doi":"10.1016/j.adhoc.2006.05.008","title":"Implementation of security policy for clinical information systems over wireless sensor networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Wireless sensor network; Confidentiality; Computer security; Body area network; Software deployment; Denial-of-service attack; Health care; Resilience (materials science); Computer network; The Internet; World Wide Web","score_opus":0.010305143152381178,"score_gpt":0.28841231478297563,"score_spread":0.27810717163059445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124915873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5378252,0.0047558937,0.4502152,0.000053819673,0.003102566,0.0019300912,0.00012755048,0.0006586028,0.0013310674],"genre_scores_gemma":[0.99472326,0.001466156,0.00031863968,0.00006661265,0.0026719675,0.00013705374,0.0005342834,0.000064316344,0.000017712722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755937,0.000085722415,0.0012911191,0.00021104128,0.00023251738,0.000620244],"domain_scores_gemma":[0.99867785,0.00034425315,0.00032580702,0.00037866365,0.00016461284,0.00010880664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005933807,0.00029613133,0.0005020827,0.00013943095,0.00009538773,0.00008772939,0.00020969073,0.00041899979,0.0000122224565],"category_scores_gemma":[0.000011064035,0.0003201206,0.00020543132,0.0004244933,0.00007039171,0.00053542707,0.00004969047,0.00034720544,0.000005019873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047631678,0.00002388656,0.007310302,0.00013978816,0.00008888695,9.85428e-7,0.00009676466,0.93190616,0.000004643831,0.0030344685,0.023636084,0.033710424],"study_design_scores_gemma":[0.00133633,0.00007893241,0.01567358,0.000078143385,0.000052942323,0.0000045490196,0.00017896434,0.96619934,0.000020491052,0.00010351323,0.015947932,0.00032526354],"about_ca_topic_score_codex":0.0002531585,"about_ca_topic_score_gemma":0.00028319473,"teacher_disagreement_score":0.45689803,"about_ca_system_score_codex":0.00014906524,"about_ca_system_score_gemma":0.00004427028,"threshold_uncertainty_score":0.9999251},"labels":[],"label_agreement":null},{"id":"W2339549509","doi":"10.1016/j.adhoc.2016.02.017","title":"Data communication in VANETs: Protocols, applications and challenges","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":477,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Computer science; Protocol stack; Vehicular ad hoc network; Open research; Quality of service; Computer network; Wireless ad hoc network; Communications protocol; Protocol (science); Wireless; Intelligent transportation system; Distributed computing; Wireless sensor network; Telecommunications; World Wide Web; Engineering","score_opus":0.04476053964443253,"score_gpt":0.2626541803618251,"score_spread":0.21789364071739256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339549509","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011086027,0.70492786,0.2083009,0.008829932,0.00039154367,0.05003347,0.00023923967,0.0031160363,0.013074988],"genre_scores_gemma":[0.7236971,0.25014353,0.00703897,0.00012874171,0.00042068388,0.017935682,0.00032866586,0.00017078676,0.00013579345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877405,0.00007913072,0.00029762444,0.00034769846,0.00011916149,0.00038231738],"domain_scores_gemma":[0.99787277,0.00020249479,0.00004981986,0.0017463615,0.00002430108,0.00010424697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042904494,0.00019310993,0.00021448369,0.00006114064,0.000063368534,0.00003738754,0.0007087302,0.00017657773,0.000021440674],"category_scores_gemma":[0.000013885717,0.00016384441,0.000018513176,0.00017390073,0.00007832321,0.0003411417,0.0003087902,0.00025687774,0.00003338209],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014620405,0.000048077072,0.00034107247,0.000088305416,0.00004406806,0.000004549375,0.00008618762,0.19566922,0.000054284377,0.0013535543,0.0046276934,0.7976684],"study_design_scores_gemma":[0.00056010485,0.000019997446,0.002036437,0.00028869242,0.000010795065,0.000010868308,0.000025987218,0.4404676,0.0000059333133,0.0006399047,0.5556871,0.0002465592],"about_ca_topic_score_codex":0.0000027000324,"about_ca_topic_score_gemma":0.0008058265,"teacher_disagreement_score":0.7974218,"about_ca_system_score_codex":0.00006412233,"about_ca_system_score_gemma":0.000012473874,"threshold_uncertainty_score":0.66813815},"labels":[],"label_agreement":null},{"id":"W2398437049","doi":"10.1016/j.adhoc.2016.04.012","title":"Efficient and robust serial query processing approach for large-scale wireless sensor networks","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Scale (ratio); Wireless; Distributed computing; Computer network; Telecommunications; Geography; Cartography","score_opus":0.011375672566637744,"score_gpt":0.21144342535146307,"score_spread":0.20006775278482533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398437049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03952055,0.0037710324,0.9535431,0.0003286752,0.0012191184,0.00073363207,0.000008260442,0.0005699627,0.00030563216],"genre_scores_gemma":[0.8072831,0.00048802354,0.18921697,0.00042160996,0.0016388407,0.00019522155,0.000027788647,0.000121061414,0.00060740893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955211,0.0002012774,0.000650591,0.001511952,0.00044927068,0.0016657644],"domain_scores_gemma":[0.99752617,0.000481291,0.00035718054,0.0009815223,0.00025418657,0.000399637],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095904653,0.00058116374,0.0006329398,0.00014223761,0.0006778473,0.00041892703,0.0010008743,0.0005116895,0.000005350186],"category_scores_gemma":[0.000029524263,0.00044170138,0.00019271098,0.00071832817,0.00020130724,0.0003061484,0.0005818196,0.00037517858,0.0000036224992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010834466,0.00017406586,0.00017661312,0.00003245997,0.000028323617,0.0000083500445,0.00020902028,0.90226287,0.000080826816,0.0018843214,0.0007745583,0.09426026],"study_design_scores_gemma":[0.0018966527,0.00012804526,0.00020750493,0.00020117965,0.00003316871,0.00004522456,0.00007426233,0.99478555,0.00005748303,0.00002499122,0.0018602494,0.0006856954],"about_ca_topic_score_codex":0.000002801339,"about_ca_topic_score_gemma":0.000024275016,"teacher_disagreement_score":0.76776254,"about_ca_system_score_codex":0.00012109541,"about_ca_system_score_gemma":0.000076654294,"threshold_uncertainty_score":0.9998035},"labels":[],"label_agreement":null},{"id":"W2523572162","doi":"10.1016/j.adhoc.2016.08.014","title":"FACID: A trust-based collaborative decision framework for intrusion detection networks","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Google; National Science Foundation","keywords":"Intrusion detection system; Computer science; Key (lock); Overhead (engineering); Heuristic; Trustworthiness; Process (computing); Component (thermodynamics); Host (biology); Distributed computing; Data mining; Computer security; Artificial intelligence","score_opus":0.009052363567445647,"score_gpt":0.24517007679055403,"score_spread":0.23611771322310837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523572162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008547466,0.0022953488,0.9827747,0.00086831086,0.0039840564,0.00093699025,0.000007684985,0.00051575055,0.00006973229],"genre_scores_gemma":[0.88137174,0.0015178247,0.11423631,0.0012530485,0.001159962,0.0003175937,0.000008976413,0.000052731066,0.00008180113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969299,0.00023005405,0.000605813,0.0009820564,0.0004368174,0.00081536925],"domain_scores_gemma":[0.99595344,0.0020180987,0.0003707702,0.00097460934,0.00041428462,0.00026880798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081951614,0.00041628454,0.00041777562,0.00022285579,0.0007600259,0.00029560644,0.0008679565,0.0006858405,0.00007929848],"category_scores_gemma":[0.00034521145,0.00031195377,0.00023257124,0.0015807971,0.00011970117,0.00084709964,0.00026344898,0.00045983758,0.000045079516],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059974694,0.00006445521,0.000046647718,0.000005638742,0.000025205789,0.0000047724575,0.00008965647,0.025504762,0.00019244726,0.008394989,0.0022380701,0.9628336],"study_design_scores_gemma":[0.0015968663,0.00095902325,0.00039238762,0.00034424366,0.000023264272,0.000008756972,0.00001799663,0.8699149,0.0016857319,0.034512583,0.09000626,0.00053798815],"about_ca_topic_score_codex":0.0000034008879,"about_ca_topic_score_gemma":0.00010595639,"teacher_disagreement_score":0.9622956,"about_ca_system_score_codex":0.00022684844,"about_ca_system_score_gemma":0.00009179779,"threshold_uncertainty_score":0.99993324},"labels":[],"label_agreement":null},{"id":"W2529641732","doi":"10.1016/j.adhoc.2016.09.020","title":"Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Georgia State University; National Aeronautics and Space Administration; Cummings Foundation; National Science Foundation","keywords":"Dempster–Shafer theory; Wireless sensor network; Sensor fusion; Computer science; Node (physics); Set (abstract data type); Signal strength; Sampling (signal processing); Algorithm; Data mining; Artificial intelligence; Engineering; Telecommunications; Computer network","score_opus":0.010451779308757509,"score_gpt":0.21266713020794625,"score_spread":0.20221535089918874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529641732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012156715,0.003286048,0.9821499,0.00012786678,0.00031182574,0.00026434884,0.0000015219595,0.0008189145,0.00088284205],"genre_scores_gemma":[0.9942003,0.0045257886,0.0007729056,0.0001611236,0.00015266232,0.000063272455,0.0000090204785,0.000058922677,0.000056032062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985444,0.00007878159,0.00036598445,0.00031042311,0.00016970278,0.00053069496],"domain_scores_gemma":[0.9992013,0.0002547124,0.00003819966,0.0003833752,0.000052048515,0.00007039102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027211106,0.00024224675,0.00026458813,0.00011422891,0.000058499852,0.000045289456,0.00028163678,0.00038716302,0.00007252557],"category_scores_gemma":[0.0000791543,0.00017791783,0.000060116727,0.0005471897,0.00023263937,0.00023388544,0.00007477984,0.00024730744,0.000027229918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048914524,0.000027332188,0.0050217602,0.000038811628,0.000023926874,0.0000139950325,0.000095327014,0.88607615,0.000048568534,0.026881482,0.0015973875,0.080126315],"study_design_scores_gemma":[0.00038123113,0.00002990843,0.00037117332,0.00033513625,0.0000130295775,0.000008684497,0.00005984293,0.9964955,0.00025962503,0.00080626964,0.0009404163,0.00029920388],"about_ca_topic_score_codex":0.0000012997176,"about_ca_topic_score_gemma":0.0000114466575,"teacher_disagreement_score":0.98204356,"about_ca_system_score_codex":0.000118464624,"about_ca_system_score_gemma":0.000010607513,"threshold_uncertainty_score":0.7255278},"labels":[],"label_agreement":null},{"id":"W2555043760","doi":"10.1016/j.adhoc.2016.11.005","title":"A smart fairness mechanism for Concurrent multipath transfer in SCTP over wireless multi-hop networks","year":2016,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Computer science; Multipath propagation; Hop (telecommunications); Stream Control Transmission Protocol; Wireless; Mechanism (biology); Telecommunications; Channel (broadcasting); Network packet","score_opus":0.015654137134173553,"score_gpt":0.23825957091763145,"score_spread":0.2226054337834579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555043760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014857959,0.0019175182,0.977867,0.00077949563,0.0030597087,0.0011349292,0.000010442834,0.00034255435,0.000030363422],"genre_scores_gemma":[0.99381,0.00095998443,0.0027468305,0.00092762674,0.00046801197,0.00059978315,0.000009771021,0.000054383392,0.00042361906],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966946,0.00019272909,0.00065147766,0.001007762,0.0003104601,0.0011429263],"domain_scores_gemma":[0.9980183,0.0006882207,0.00011362965,0.0007024542,0.00018563782,0.000291753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060870784,0.00047037876,0.0005768863,0.00012345341,0.00018793994,0.00015025759,0.0010712657,0.00036543203,0.000028230648],"category_scores_gemma":[0.000025441474,0.00036143875,0.00026418213,0.00046925474,0.00010466786,0.0005357455,0.00014484642,0.00035810441,0.000018135026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010029463,0.00019214694,0.00045036417,0.000012262996,0.000052475458,0.000024068351,0.00018975286,0.010145367,0.000058569476,0.091645606,0.00076984824,0.89635926],"study_design_scores_gemma":[0.0068612313,0.0001635784,0.0008202158,0.00026587074,0.00002601743,0.000007180313,0.00001536166,0.98646647,0.000035953326,0.00050510577,0.004252713,0.00058027875],"about_ca_topic_score_codex":0.000010924536,"about_ca_topic_score_gemma":0.0006243808,"teacher_disagreement_score":0.97895205,"about_ca_system_score_codex":0.00012561781,"about_ca_system_score_gemma":0.000082313556,"threshold_uncertainty_score":0.9998838},"labels":[],"label_agreement":null},{"id":"W2790434493","doi":"10.1016/j.adhoc.2018.02.005","title":"A novel self-adaptive content delivery protocol for vehicular networks","year":2018,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Fundação Amazônia Paraense de Amparo à Pesquisa; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Content delivery network; Overhead (engineering); Computer network; Network packet; Packet loss; The Internet; Protocol (science); Content delivery; Server; World Wide Web","score_opus":0.02923615937736037,"score_gpt":0.24239470804237895,"score_spread":0.21315854866501857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790434493","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002900663,0.0014067683,0.87646765,0.00006604717,0.0013481546,0.11463345,0.000019471165,0.0019323851,0.0012254338],"genre_scores_gemma":[0.35415074,0.00030303007,0.07371263,0.001592225,0.0106234,0.55786633,0.00016625234,0.0009169459,0.00066842826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964742,0.0000690873,0.0007358461,0.0007400145,0.00036842262,0.0016124507],"domain_scores_gemma":[0.99791735,0.00024105716,0.00016933495,0.00082507706,0.0004373605,0.00040981147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005537225,0.00072119676,0.0006697561,0.00011317682,0.00033656694,0.00015175903,0.00058935606,0.00061988743,0.00007912921],"category_scores_gemma":[0.000021923443,0.00071672647,0.00037632964,0.0005123895,0.00017539808,0.0003295136,0.00016458491,0.00072249776,0.000073119045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003250021,0.00012624949,0.000038533413,0.000057396846,0.00046010554,0.000020369815,0.00011621003,0.95544064,0.00017568203,0.0003667118,0.027655788,0.015217306],"study_design_scores_gemma":[0.0028330733,0.0004530338,0.00022533764,0.00020972878,0.000101551945,0.000042776996,0.000033808694,0.8330189,0.00012881981,0.000053163105,0.16217536,0.0007244355],"about_ca_topic_score_codex":0.000008491352,"about_ca_topic_score_gemma":0.00019271446,"teacher_disagreement_score":0.802755,"about_ca_system_score_codex":0.00033626187,"about_ca_system_score_gemma":0.00006415391,"threshold_uncertainty_score":0.9995284},"labels":[],"label_agreement":null},{"id":"W2821778875","doi":"10.1016/j.adhoc.2018.07.003","title":"Connectivity and coverage based protocols for wireless sensor networks","year":2018,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Wireless network; Wireless; Telecommunications","score_opus":0.015541963390717112,"score_gpt":0.25980408028850505,"score_spread":0.24426211689778793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2821778875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023081202,0.00040121903,0.9675555,0.0003699814,0.0008223944,0.0067635123,0.0000053260064,0.000508207,0.0004926588],"genre_scores_gemma":[0.9586245,0.00007688117,0.034208383,0.001779299,0.0013001235,0.0036233743,0.000019106554,0.00008104836,0.00028731194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99668646,0.0002511706,0.00046442382,0.0011543512,0.0003328312,0.0011107884],"domain_scores_gemma":[0.9967126,0.0011651451,0.00029351073,0.0011809733,0.00033232544,0.0003154048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000799696,0.00046722722,0.0005386926,0.0001085862,0.0006075803,0.0004435662,0.00089396554,0.00039319613,0.000013913817],"category_scores_gemma":[0.000060081446,0.0004555783,0.00015697008,0.000674092,0.00034818417,0.00039784983,0.00033482898,0.00040707184,0.00000818752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003333783,0.00023322715,0.0011899373,0.00004558656,0.00006935506,0.00002832138,0.00012900392,0.7823453,0.00013112924,0.013220893,0.0046842173,0.19758964],"study_design_scores_gemma":[0.001671132,0.00062081876,0.0011148733,0.00015014554,0.000016108772,0.00001700846,0.000005451721,0.97499454,0.00030830785,0.00020090108,0.020338753,0.0005619735],"about_ca_topic_score_codex":0.0000072578873,"about_ca_topic_score_gemma":0.00007509646,"teacher_disagreement_score":0.9355433,"about_ca_system_score_codex":0.00008225104,"about_ca_system_score_gemma":0.00007940128,"threshold_uncertainty_score":0.9997896},"labels":[],"label_agreement":null},{"id":"W2913975235","doi":"10.1016/j.adhoc.2019.02.001","title":"An intrusion detection system for connected vehicles in smart cities","year":2019,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":393,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Intrusion detection system; Computer security; Cloud computing; Service (business); Quality of service; Service provider; Intelligent transportation system; Smart city; Computer network; Engineering; Business; Transport engineering","score_opus":0.004948012740940709,"score_gpt":0.19234342971334317,"score_spread":0.18739541697240247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913975235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95531017,0.0027167127,0.03802755,0.0000107652695,0.0018715173,0.000863565,0.0000059735294,0.0008329969,0.00036074434],"genre_scores_gemma":[0.998528,0.0001803961,0.0005041536,0.000035716184,0.00039314988,0.00013178063,0.0000761954,0.00010054395,0.000050089966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985145,0.00007688125,0.00036104253,0.000324414,0.0001461698,0.0005770174],"domain_scores_gemma":[0.99921006,0.00015831443,0.00005500176,0.0004105233,0.000055985813,0.00011012641],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003480462,0.0002579633,0.00034566745,0.0001377297,0.000073493145,0.000074621756,0.00019910063,0.00030986758,0.000021796559],"category_scores_gemma":[0.00000955902,0.00027773547,0.000082852275,0.00032328934,0.000022917491,0.00026587475,0.000030202047,0.00033673114,0.000041715073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007927497,0.000012153354,0.0013688153,0.00012959847,0.000030460647,0.0000059850327,0.00011976932,0.96898586,0.0032713246,0.000119157805,0.00020917546,0.025668416],"study_design_scores_gemma":[0.00095540687,0.0001615878,0.0040472522,0.00021486911,0.000019400311,0.000015996258,0.00027319198,0.98892397,0.0014134244,0.00005582835,0.0035837628,0.00033533995],"about_ca_topic_score_codex":0.000014551811,"about_ca_topic_score_gemma":0.0007997082,"teacher_disagreement_score":0.0432178,"about_ca_system_score_codex":0.00025365571,"about_ca_system_score_gemma":0.000012647617,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W2984986659","doi":"10.1016/j.adhoc.2019.102035","title":"Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks","year":2019,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":248,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Computer science; Computer network; Cognitive radio; Jamming; Spectrum management; Routing protocol; Wireless; Computer security; Routing (electronic design automation); Telecommunications","score_opus":0.02594592488741547,"score_gpt":0.2585800882789529,"score_spread":0.23263416339153742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984986659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028247423,0.002204892,0.9658195,0.00022952708,0.0016233379,0.0008530661,0.000003884949,0.00030142948,0.0007169818],"genre_scores_gemma":[0.992852,0.00045057136,0.004627668,0.0012482777,0.00037362822,0.00002557694,0.00006466434,0.000074894255,0.0002827425],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99575317,0.0003429097,0.0008050938,0.0012526563,0.00041645684,0.0014296896],"domain_scores_gemma":[0.9970536,0.0012690577,0.00035374673,0.0007452828,0.00022102128,0.0003572534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009497013,0.0005774563,0.0007254292,0.00027673287,0.0002564058,0.00037429738,0.00080786773,0.0003374503,0.00007980682],"category_scores_gemma":[0.00009525258,0.0006029825,0.00025577273,0.0012859319,0.00012417985,0.0002935166,0.00035126798,0.0011456837,0.00007884676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014549503,0.0002798314,0.01189458,0.000027311502,0.00010369255,0.0006921178,0.00072249764,0.3367473,0.000012825015,0.0022352077,0.00032136875,0.6468178],"study_design_scores_gemma":[0.0016219841,0.00024314597,0.0048407707,0.0008049762,0.000032141506,0.000039043687,0.00025330487,0.9906884,0.000021669817,0.000062950516,0.0006453636,0.00074624654],"about_ca_topic_score_codex":0.000041711828,"about_ca_topic_score_gemma":0.00032751024,"teacher_disagreement_score":0.96460456,"about_ca_system_score_codex":0.0002942797,"about_ca_system_score_gemma":0.00019366472,"threshold_uncertainty_score":0.99964213},"labels":[],"label_agreement":null},{"id":"W3031632615","doi":"10.1016/j.adhoc.2020.102224","title":"A performance modeling and analysis of a novel vehicular traffic flow prediction system using a hybrid machine learning-based model","year":2020,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Autoregressive integrated moving average; Computer science; Deep learning; Artificial intelligence; Intelligent transportation system; Machine learning; Focus (optics); Graph; Predictive modelling; Data mining; Time series; Engineering; Transport engineering","score_opus":0.01591256243040488,"score_gpt":0.1925664616971342,"score_spread":0.17665389926672934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031632615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.334952,0.00070036977,0.6624513,0.0000072824923,0.000031615375,0.00011918182,0.000023893592,0.0016928572,0.000021480964],"genre_scores_gemma":[0.99256706,0.00038419562,0.0068375333,0.000031720167,0.000032291857,0.00001555697,0.00010002029,0.000030454305,0.0000011459769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991776,0.000015045008,0.00028388566,0.00020458431,0.00014703794,0.00017185672],"domain_scores_gemma":[0.99970967,0.000009653347,0.000049293736,0.00012182401,0.000028430835,0.00008112963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013391054,0.00015548369,0.00028294767,0.00018138457,0.00007455998,0.00002140592,0.000078959325,0.00006732677,0.0000011734442],"category_scores_gemma":[0.000003584686,0.00016678956,0.00009704867,0.0004741795,0.000016229813,0.00011320792,0.000025436548,0.0002177096,1.4926256e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002584382,0.000013145301,0.00009178415,0.00017350056,0.00029669265,0.0000013645314,0.00010076296,0.9938703,0.00012053399,0.000004347441,0.000042896747,0.005258822],"study_design_scores_gemma":[0.00040419897,0.000049417537,0.000022221922,0.00009045612,0.0007031112,0.0000016053554,0.000023975621,0.99852186,0.000015628011,5.3215874e-8,0.000040419527,0.00012703524],"about_ca_topic_score_codex":0.0000022238348,"about_ca_topic_score_gemma":0.000004615695,"teacher_disagreement_score":0.65761507,"about_ca_system_score_codex":0.000049492606,"about_ca_system_score_gemma":0.000008159278,"threshold_uncertainty_score":0.68014807},"labels":[],"label_agreement":null},{"id":"W3033503381","doi":"10.1016/j.adhoc.2020.102226","title":"WiRelax: Towards real-time respiratory biofeedback during meditation using WiFi","year":2020,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Commonwealth Scientific and Industrial Research Organisation; Ontario Centres of Excellence","keywords":"Breathing; Biofeedback; Computer science; Waveform; Real-time computing; Wearable computer; Meditation; Simulation; Artificial intelligence; Physical medicine and rehabilitation; Embedded system; Medicine; Telecommunications; Anesthesia","score_opus":0.03353945084705859,"score_gpt":0.26686993445500184,"score_spread":0.23333048360794326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033503381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2944696,0.0038838543,0.68115294,0.0038856182,0.0019517412,0.007073375,0.000007783225,0.001913854,0.005661205],"genre_scores_gemma":[0.9026479,0.0009316536,0.0794548,0.0062363925,0.00871747,0.0012222055,0.00003093387,0.0002203914,0.0005382103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977731,0.00019120926,0.00044202307,0.0006352214,0.0003893962,0.00056903507],"domain_scores_gemma":[0.99871844,0.00009519071,0.00022842709,0.0005336125,0.00010424935,0.00032009598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037123536,0.0002679125,0.00032069557,0.00007543192,0.00028205308,0.00025087758,0.00084383716,0.00022434587,0.000049120226],"category_scores_gemma":[0.000028390426,0.00026681033,0.00011471643,0.0010721018,0.00006977017,0.0007164414,0.0003705176,0.00036502545,0.000101359976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040528548,0.0001424915,0.0011410662,0.00024033512,0.00021833448,0.00039948232,0.004701153,0.5012434,0.02743928,0.007207938,0.030176746,0.42668447],"study_design_scores_gemma":[0.0007745392,0.00019190305,0.0036114631,0.00016376954,0.000015337233,0.000009273044,0.000016788728,0.9785535,0.0006023315,0.00025839108,0.015311552,0.0004911996],"about_ca_topic_score_codex":0.000007903263,"about_ca_topic_score_gemma":0.000002942137,"teacher_disagreement_score":0.6081783,"about_ca_system_score_codex":0.000078825324,"about_ca_system_score_gemma":0.0001226345,"threshold_uncertainty_score":0.9999784},"labels":[],"label_agreement":null},{"id":"W3168651634","doi":"10.1016/j.adhoc.2021.102574","title":"Federated learning for drone authentication","year":2021,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Drone; Computer science; Authentication (law); Computer security; Artificial intelligence; Biology","score_opus":0.02385750768399553,"score_gpt":0.2691077145165474,"score_spread":0.2452502068325519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168651634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032402568,0.002206852,0.9799024,0.013025674,0.00042007497,0.00012610672,0.0000010186874,0.0008266982,0.00025095657],"genre_scores_gemma":[0.65434057,0.0005015406,0.34391868,0.00027713727,0.00008743154,0.000060734597,0.00010748915,0.000018171975,0.00068825146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891704,0.00005661365,0.00016558805,0.00042366574,0.00012200847,0.00031505604],"domain_scores_gemma":[0.9972862,0.00022128058,0.00008112215,0.0022451978,0.00012715346,0.000039069677],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00026955223,0.000098688,0.00011928548,0.0000349488,0.00024969087,0.00026876997,0.004812446,0.00012705321,0.000013738297],"category_scores_gemma":[0.005301228,0.00010572605,0.000040762654,0.000446947,0.00003366831,0.0003255129,0.015430965,0.00025037548,0.000022290542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107326305,0.00007196845,0.00029427954,0.000019711802,0.000058916925,0.000024908064,0.00007428698,0.0022227578,0.0011599119,0.006914434,0.21705365,0.7720944],"study_design_scores_gemma":[0.00019586897,0.00003493498,0.0003276545,0.000024306606,0.0000057959796,0.000008449163,0.000017281369,0.93617314,0.0012080014,0.035778563,0.026099186,0.0001268089],"about_ca_topic_score_codex":0.0000010667543,"about_ca_topic_score_gemma":0.000008439849,"teacher_disagreement_score":0.93395036,"about_ca_system_score_codex":0.000043993092,"about_ca_system_score_gemma":0.00004979614,"threshold_uncertainty_score":0.992532},"labels":[],"label_agreement":null},{"id":"W4210717153","doi":"10.1016/j.adhoc.2022.102784","title":"Performance evaluation of CNN-based pedestrian detectors for autonomous vehicles","year":2022,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Convolutional neural network; Detector; Computer science; Pedestrian detection; Pedestrian; Deep learning; Artificial intelligence; Focus (optics); Artificial neural network; Intelligent transportation system; Machine learning; Simulation; Transport engineering; Telecommunications; Engineering","score_opus":0.033613827773707354,"score_gpt":0.27912153995386085,"score_spread":0.2455077121801535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210717153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3992242,0.0014388192,0.59704703,0.00041703793,0.0004053791,0.0011355054,0.000007475519,0.00018037729,0.00014418193],"genre_scores_gemma":[0.97974324,0.00003308834,0.018907929,0.00017598041,0.000079720485,0.0009833687,0.000023178993,0.00001672146,0.000036750796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846774,0.00012158074,0.00028766424,0.0003632349,0.00046125564,0.0002984974],"domain_scores_gemma":[0.9986177,0.0003086709,0.00024178877,0.0005917043,0.00017757618,0.0000625459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008412328,0.00012532636,0.00015249482,0.00008587657,0.00043520445,0.000026151603,0.0007853597,0.000038983148,0.000021901302],"category_scores_gemma":[0.000028540037,0.00013774374,0.00008073243,0.0007250996,0.000041851523,0.0001878735,0.00017999508,0.00017268468,0.000002317926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015289192,0.000026219077,0.00021816161,0.0000038245594,0.00000459937,1.3166937e-7,0.000032432985,0.67389494,0.00009172444,0.00033516798,0.00020291994,0.3251746],"study_design_scores_gemma":[0.0006388731,0.00024161038,0.0022648773,0.000006136572,0.000023340783,0.000001911642,0.000009674634,0.9885601,0.00064107106,0.0008056219,0.0066626696,0.00014410607],"about_ca_topic_score_codex":0.0000018199617,"about_ca_topic_score_gemma":0.000007772074,"teacher_disagreement_score":0.5805191,"about_ca_system_score_codex":0.00016591432,"about_ca_system_score_gemma":0.0001834114,"threshold_uncertainty_score":0.56170267},"labels":[],"label_agreement":null},{"id":"W4306319527","doi":"10.1016/j.adhoc.2022.103021","title":"STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles","year":2022,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Graph; Benchmark (surveying); Artificial intelligence; Representation (politics); Path (computing); Machine learning; Motion planning; Theoretical computer science; Robot","score_opus":0.010991979332160902,"score_gpt":0.2420432665816751,"score_spread":0.2310512872495142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306319527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1970633,0.00016594063,0.794952,0.00021375564,0.0011885803,0.0007621684,0.00031463357,0.005245901,0.00009374332],"genre_scores_gemma":[0.9928013,0.000018316214,0.0049839513,0.00012987769,0.000053654876,0.00049592153,0.0014261132,0.00005859035,0.000032282853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884063,0.00007975048,0.00033439693,0.00029735413,0.00014418263,0.000303697],"domain_scores_gemma":[0.99929714,0.00022647892,0.00010901383,0.00026191692,0.000056625846,0.00004882952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035603347,0.00020236861,0.00021738042,0.00018659976,0.00037870722,0.000020808537,0.00014946479,0.00019356019,0.00008981643],"category_scores_gemma":[0.00001686502,0.00023088025,0.00012257138,0.00039327668,0.00002612917,0.00011730115,0.00003699092,0.00052125216,0.0000033495355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002551401,0.00010166749,0.0015742152,0.00002523864,0.00008722956,0.0000034800303,0.000052429874,0.97849196,0.00028619202,0.0004420727,0.0032586376,0.015421715],"study_design_scores_gemma":[0.00121258,0.00034905676,0.0064708376,0.000030446094,0.000043677705,0.0000072142834,0.00014405724,0.98415107,0.00009704666,0.0001725168,0.0071127885,0.00020871521],"about_ca_topic_score_codex":0.000009632151,"about_ca_topic_score_gemma":0.000033269054,"teacher_disagreement_score":0.795738,"about_ca_system_score_codex":0.00021975032,"about_ca_system_score_gemma":0.000026957276,"threshold_uncertainty_score":0.94150233},"labels":[],"label_agreement":null},{"id":"W4313531829","doi":"10.1016/j.adhoc.2022.103077","title":"Fully privacy-preserving location recommendation in outsourced environments","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; Special Project for Research and Development in Key areas of Guangdong Province; China Postdoctoral Science Foundation; Jinan University; Guangzhou Municipal Science and Technology Project; National Natural Science Foundation of China","keywords":"Computer science; Internet privacy; Computer security","score_opus":0.016456265091177806,"score_gpt":0.2430033897240144,"score_spread":0.22654712463283658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313531829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053990833,0.0002999561,0.9428875,0.001619442,0.00041593614,0.00021117285,0.0000027451642,0.00021803989,0.0003543665],"genre_scores_gemma":[0.9932769,0.0006345537,0.0054167444,0.00029278558,0.000077731296,0.000031363354,0.00023086795,0.000009758865,0.000029316396],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892217,0.00009148786,0.00021074382,0.00034376077,0.00014028938,0.00029156212],"domain_scores_gemma":[0.99917686,0.0000963537,0.00007469026,0.00058340916,0.000009986704,0.00005872525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045871202,0.00010046798,0.00009720932,0.00015243993,0.00009684848,0.00009943968,0.0007256114,0.00007772571,0.000030112398],"category_scores_gemma":[0.000038642298,0.00010995671,0.000032991014,0.0011985631,0.000017584776,0.0006250627,0.0006682396,0.00017674478,0.000094024326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041874304,0.00018400313,0.018805575,0.000028980983,0.000032370855,0.000022222925,0.0038261614,0.057170145,0.00019824828,0.009138694,0.0233107,0.887241],"study_design_scores_gemma":[0.00040115448,0.00003821243,0.09336494,0.000035360572,0.000002954029,0.0000013842624,0.000063908104,0.8382963,0.00003088226,0.0053914934,0.06218204,0.00019140357],"about_ca_topic_score_codex":0.0000133856265,"about_ca_topic_score_gemma":0.00006072485,"teacher_disagreement_score":0.93928605,"about_ca_system_score_codex":0.000036864447,"about_ca_system_score_gemma":0.000010332027,"threshold_uncertainty_score":0.44839045},"labels":[],"label_agreement":null},{"id":"W4313596594","doi":"10.1016/j.adhoc.2022.103080","title":"Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Mitacs; Canadian Armed Forces","keywords":"Reinforcement learning; Computer science; Markov decision process; Computation offloading; Mobile edge computing; MIMO; Server; Distributed computing; Edge computing; Base station; Enhanced Data Rates for GSM Evolution; State space; Wireless network; Wireless; Markov process; Artificial intelligence; Computer network; Channel (broadcasting); Mathematics","score_opus":0.023666992527260487,"score_gpt":0.26772993975121073,"score_spread":0.24406294722395025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313596594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007926931,0.0006402688,0.98474956,0.00058789377,0.005067487,0.000413408,1.1876962e-8,0.00039871925,0.00021572039],"genre_scores_gemma":[0.9877982,0.000030876156,0.010266612,0.00045538682,0.0012931998,0.000024597459,0.000024305078,0.000023691648,0.000083114544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982394,0.00009546085,0.00039430967,0.00038206173,0.00021705434,0.0006716998],"domain_scores_gemma":[0.99781924,0.0016218794,0.00017044312,0.00025191918,0.00007641641,0.00006007391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012798725,0.00017852479,0.00019631966,0.00017385848,0.00064752175,0.00024771257,0.0006042316,0.000083001556,8.087645e-7],"category_scores_gemma":[0.00007795953,0.00015582118,0.00010261301,0.0011738305,0.00003208606,0.00017550553,0.0003028706,0.00035113713,0.000027366375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071273203,0.000005560104,0.0004869193,0.0000125540355,0.00000871513,0.000004320552,0.0006919522,0.78433967,0.0000055673304,0.00019958893,0.0017870413,0.21245098],"study_design_scores_gemma":[0.00057550496,0.00007373211,0.0026009248,0.00010061116,0.000006346744,0.0000017029431,0.00006017812,0.9907211,0.00001719971,0.00020073513,0.0054506357,0.00019129412],"about_ca_topic_score_codex":0.0000100687985,"about_ca_topic_score_gemma":0.000008441209,"teacher_disagreement_score":0.9798713,"about_ca_system_score_codex":0.00009119318,"about_ca_system_score_gemma":0.000048017475,"threshold_uncertainty_score":0.6354203},"labels":[],"label_agreement":null},{"id":"W4317558279","doi":"10.1016/j.adhoc.2023.103283","title":"Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Computer science; Reliability (semiconductor); Network packet; Internet of Things; Energy consumption; Efficient energy use; Greedy algorithm; Distributed computing; Computer network; Power (physics); Embedded system; Algorithm; Engineering","score_opus":0.028525617337624286,"score_gpt":0.2886528128198791,"score_spread":0.2601271954822548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317558279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020142142,0.0019738285,0.98002636,0.00011392357,0.0020256694,0.011690708,0.00002682609,0.001978296,0.00015015199],"genre_scores_gemma":[0.9404322,0.002495882,0.009622237,0.0011559064,0.0078158695,0.034769516,0.0020066428,0.0007244505,0.000977286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99652356,0.0001174507,0.00069569354,0.0008445216,0.00027036926,0.0015484325],"domain_scores_gemma":[0.99784553,0.0005024439,0.00018333783,0.0009233529,0.00013772205,0.00040758407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067189976,0.000694391,0.0006262657,0.00018222656,0.00042301012,0.00019552244,0.0005872202,0.0008094785,0.000047835238],"category_scores_gemma":[0.000023331915,0.00070097763,0.00025457898,0.001039966,0.000076699056,0.00021982544,0.00008813048,0.00087466853,0.00013981457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017235261,0.000082013845,0.000171928,0.000044348497,0.00010565092,0.000012076565,0.00009352766,0.8774217,0.000022654573,0.00017764056,0.02801044,0.09368567],"study_design_scores_gemma":[0.002306601,0.00026005795,0.0018958619,0.00016801014,0.00005392179,0.0000028282677,0.000041072144,0.9451702,0.000027318336,0.00009647939,0.04919112,0.0007864949],"about_ca_topic_score_codex":0.0000061295978,"about_ca_topic_score_gemma":0.00016649665,"teacher_disagreement_score":0.97040415,"about_ca_system_score_codex":0.00016634984,"about_ca_system_score_gemma":0.00002912001,"threshold_uncertainty_score":0.99954414},"labels":[],"label_agreement":null},{"id":"W4318566874","doi":"10.1016/j.adhoc.2023.103101","title":"CCPAV: Centralized cooperative perception for autonomous vehicles using CV2X","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perception; Computer science; Human–computer interaction; Business; Psychology; Neuroscience","score_opus":0.018636154709051177,"score_gpt":0.24896346654885673,"score_spread":0.23032731183980557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318566874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8427222,0.0013765586,0.1506614,0.00020966187,0.0007323392,0.00059189094,0.000025545787,0.0033614177,0.00031899853],"genre_scores_gemma":[0.9961864,0.0009165103,0.0021308532,0.00007797972,0.00016793198,0.00006866088,0.00009024882,0.00006338379,0.00029803714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989224,0.000024792758,0.00024177642,0.00022943314,0.0000621055,0.00051948265],"domain_scores_gemma":[0.99956745,0.00008881444,0.000032338314,0.00021064212,0.00003908828,0.00006168308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017905516,0.0001922765,0.00023804446,0.00008476113,0.00023772477,0.000027480624,0.00015353759,0.00031546588,0.000050665003],"category_scores_gemma":[0.000012705146,0.00020301886,0.000090016765,0.00033351174,0.000076261655,0.00012664347,0.000039780436,0.00026755387,0.00007541613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038889346,0.000013478603,0.00021527725,0.000022205153,0.000081162216,0.000008334482,0.00041928815,0.9114994,0.0030813664,0.0006620901,0.0030151228,0.08094341],"study_design_scores_gemma":[0.00058731576,0.000046249163,0.002300275,0.000024238778,0.000030794366,0.00000642247,0.00019704699,0.9837593,0.0003129531,0.0003318232,0.012154705,0.00024890772],"about_ca_topic_score_codex":0.0000029508813,"about_ca_topic_score_gemma":0.00001765881,"teacher_disagreement_score":0.1534642,"about_ca_system_score_codex":0.0001426142,"about_ca_system_score_gemma":0.000023290213,"threshold_uncertainty_score":0.8278869},"labels":[],"label_agreement":null},{"id":"W4366134577","doi":"10.1016/j.adhoc.2023.103179","title":"Trajectory Matters: Impact of Jamming Attacks Over the Drone Path Planning on the Internet of Drones","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Drone; Jamming; The Internet; Trajectory; Path (computing); Aeronautics; Computer security; Computer science; Engineering; Computer network; World Wide Web; Physics; Biology","score_opus":0.01270276016520195,"score_gpt":0.2451542231159551,"score_spread":0.23245146295075317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366134577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694882,0.00064772763,0.028890556,0.00008422409,0.00011199697,0.00018053944,0.0000063899133,0.00009819707,0.00049218774],"genre_scores_gemma":[0.99945486,0.00021585038,0.00009159717,0.00004535096,0.00006287109,0.00002465052,0.000021855947,0.000024865976,0.000058084584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995055,0.000020214622,0.00016951865,0.00007836109,0.00008369957,0.00014270075],"domain_scores_gemma":[0.9994958,0.0002019742,0.000043627108,0.00022787866,0.000014178135,0.000016520447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015593442,0.00009155394,0.00010864282,0.000040133724,0.000034076067,0.000013994154,0.00014929703,0.00004951497,0.00005646125],"category_scores_gemma":[0.0000044282633,0.000055558354,0.000067828216,0.00026255465,0.000034018172,0.000039610946,0.000024371819,0.00013399612,0.000008238949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008206269,0.000008393069,0.00072910567,0.000009948109,0.00005669028,4.1803426e-7,0.0011077493,0.97065574,0.00016685996,0.00010512127,0.02322793,0.003923866],"study_design_scores_gemma":[0.0001245136,0.00005130066,0.029173663,0.00009979023,0.00001596095,6.7065116e-7,0.0002274587,0.96923995,0.00012545825,0.00003122703,0.00083562324,0.0000743918],"about_ca_topic_score_codex":0.000014090268,"about_ca_topic_score_gemma":0.000003063618,"teacher_disagreement_score":0.029966693,"about_ca_system_score_codex":0.000026475007,"about_ca_system_score_gemma":0.0000048378597,"threshold_uncertainty_score":0.22656038},"labels":[],"label_agreement":null},{"id":"W4376648994","doi":"10.1016/j.adhoc.2023.103204","title":"IoDMix: A novel routing protocol for Delay-Tolerant Internet of Drones integration in Intelligent Transportation System","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Drone; Computer science; Computer network; Routing protocol; Protocol (science); Routing (electronic design automation); The Internet; Delay-tolerant networking; Work (physics); Engineering; Wireless Routing Protocol; World Wide Web","score_opus":0.020085545642742873,"score_gpt":0.2574238327128105,"score_spread":0.23733828707006763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376648994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01355447,0.000021457656,0.9601693,0.000011222151,0.00008827148,0.025842708,0.000008632716,0.00022129963,0.00008263946],"genre_scores_gemma":[0.8943301,0.000012593998,0.0056205415,0.0000040903046,0.00004468594,0.09972163,0.00020667179,0.00003192723,0.000027762613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991742,0.0000079448055,0.00044428522,0.00013826083,0.000072403825,0.00016291499],"domain_scores_gemma":[0.9996965,0.00004910414,0.000057566343,0.00011258351,0.000060078666,0.00002417328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018798726,0.00011005388,0.00015243178,0.000112445196,0.000021971658,0.000017546556,0.00008100957,0.00009294417,0.000004164867],"category_scores_gemma":[0.000004318911,0.00010925368,0.00004686934,0.0004383878,0.000009850015,0.000085951644,0.0000045167744,0.00008615374,0.0000032693588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036880214,0.000022304295,0.00014179971,0.0001700013,0.000011876844,3.9426175e-7,0.00089041865,0.96986634,0.00029116572,0.0031535593,0.00018152362,0.025233733],"study_design_scores_gemma":[0.00045398955,0.00003617781,0.00066652347,0.00038017126,0.0000093192,6.318673e-7,0.00029341696,0.9962069,0.00091851666,0.000025924626,0.00090614,0.000102312915],"about_ca_topic_score_codex":0.000019189303,"about_ca_topic_score_gemma":0.00024961084,"teacher_disagreement_score":0.9545488,"about_ca_system_score_codex":0.00007440024,"about_ca_system_score_gemma":0.000008119062,"threshold_uncertainty_score":0.44552356},"labels":[],"label_agreement":null},{"id":"W4377141567","doi":"10.1016/j.adhoc.2023.103209","title":"AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Default gateway; Computer network; Wireless ad hoc network; Node (physics); Network packet; Cluster (spacecraft); Cluster analysis; Throughput; Head (geology); Topology (electrical circuits); Selection (genetic algorithm); Network topology; Distributed computing; Engineering; Artificial intelligence; Telecommunications; Wireless","score_opus":0.014678121283557286,"score_gpt":0.24287293918375386,"score_spread":0.22819481790019658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377141567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051216196,0.001065489,0.9448081,0.00046480872,0.00045811938,0.0005460091,0.0000021411029,0.0009576828,0.0004813976],"genre_scores_gemma":[0.9896536,0.0017363147,0.006967683,0.0006590709,0.0002766649,0.00019640164,0.0002219438,0.000099223864,0.0001891342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827075,0.000068405985,0.00042103685,0.00039769217,0.00017194089,0.0006701813],"domain_scores_gemma":[0.99931556,0.00013359872,0.000046311103,0.0003387347,0.00006553615,0.00010023012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002951998,0.00027873684,0.000302272,0.00012810357,0.00017444865,0.000095438445,0.00016186861,0.00037518644,0.00004220776],"category_scores_gemma":[0.000012283627,0.00031069655,0.00008073855,0.0013760667,0.000036120546,0.00026324147,0.00007608269,0.00058112136,0.000047748636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007304027,0.000027565247,0.0002891141,0.00002522752,0.000020370113,0.00000436622,0.00008713057,0.9829651,0.00002646737,0.00009042128,0.004520826,0.011870359],"study_design_scores_gemma":[0.00093872903,0.00004023207,0.0035269023,0.00006668254,0.000024633333,0.000004117259,0.000018447905,0.9894464,0.00002319761,0.00015262277,0.0054404093,0.00031765387],"about_ca_topic_score_codex":0.0000159381,"about_ca_topic_score_gemma":0.0011623125,"teacher_disagreement_score":0.93843734,"about_ca_system_score_codex":0.00022666193,"about_ca_system_score_gemma":0.000022866194,"threshold_uncertainty_score":0.9999345},"labels":[],"label_agreement":null},{"id":"W4378530183","doi":"10.1016/j.adhoc.2023.103212","title":"A trust management-based secure routing protocol with AUV-aided path repairing for Underwater Acoustic Sensor Networks","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Natural Science Foundation of Huaian Municipality","keywords":"Computer science; Computer network; Routing protocol; Underwater; Network packet; Node (physics); Trust management (information system); Routing (electronic design automation); Acoustic sensor; Latency (audio); Wireless sensor network; Reliability (semiconductor); Low latency (capital markets); Underwater acoustic communication; Path (computing); Distributed computing; Computer security; Engineering; Telecommunications","score_opus":0.015103150356240795,"score_gpt":0.2345293527577459,"score_spread":0.2194262024015051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378530183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005858107,0.000093440096,0.96121657,0.000096543125,0.00012671977,0.029009612,0.0000048721613,0.0030752134,0.00051892526],"genre_scores_gemma":[0.93619055,0.000033221375,0.008247781,0.00014499947,0.00026846,0.05405,0.00006572609,0.000229897,0.0007693801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981075,0.000072106544,0.00047249006,0.0003774104,0.0002023413,0.00076816755],"domain_scores_gemma":[0.9988801,0.00014007518,0.00010645882,0.000690783,0.0000641575,0.000118444805],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004286306,0.00033836515,0.00032377755,0.00010957147,0.00027977713,0.00018736695,0.0003463857,0.00017888717,0.000013953701],"category_scores_gemma":[0.0000016771304,0.0002925138,0.00012401439,0.00055209035,0.00003539994,0.0001238063,0.00010159396,0.00031747526,0.000026139653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103815626,0.000017588442,0.00038756098,0.00032915283,0.00015507548,0.000025075287,0.00013813746,0.9903452,0.00008024696,0.00003999559,0.0011546928,0.0072235046],"study_design_scores_gemma":[0.001682498,0.000095585565,0.00022478051,0.00046330757,0.000060231825,0.000006935893,0.00035987617,0.9609141,0.00007613995,0.000033336215,0.035686664,0.00039659633],"about_ca_topic_score_codex":0.000003174651,"about_ca_topic_score_gemma":0.000039799077,"teacher_disagreement_score":0.9529688,"about_ca_system_score_codex":0.00011054925,"about_ca_system_score_gemma":0.000012901863,"threshold_uncertainty_score":0.9999527},"labels":[],"label_agreement":null},{"id":"W4385728905","doi":"10.1016/j.adhoc.2023.103264","title":"Multi-tasking Federated Learning meets Blockchain to Foster Trust and Security in the Metaverse","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Metaverse; Computer science; Human–computer interaction; World Wide Web; Computer security; Data science; Virtual reality","score_opus":0.03143750505751142,"score_gpt":0.2755796169295528,"score_spread":0.24414211187204138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385728905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7264874,0.0028571058,0.17874222,0.08534396,0.0010431891,0.0013857159,0.000009780478,0.0035397795,0.00059084204],"genre_scores_gemma":[0.9726313,0.00020852602,0.026148153,0.0008741575,0.00003539009,0.000044612516,0.000008295303,0.000014770665,0.00003481153],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982157,0.00026588197,0.00021884483,0.00054713746,0.00022611808,0.0005263164],"domain_scores_gemma":[0.9972208,0.00042307793,0.00006840961,0.0022012258,0.000028921893,0.00005753876],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001435477,0.00017370984,0.00018934895,0.00017358712,0.000329575,0.00035391148,0.007205301,0.00014486694,0.000004240323],"category_scores_gemma":[0.0033163375,0.00013982574,0.000032422806,0.0015646286,0.000056321212,0.00020633034,0.029326664,0.0006304885,0.00003535386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081451566,0.00021160042,0.013788159,0.00006759052,0.00018980885,0.0013734351,0.017497947,0.084039405,0.0004821368,0.0012102168,0.3279487,0.5531095],"study_design_scores_gemma":[0.00031236664,0.0000451177,0.002254199,0.0000452302,0.0000048809916,0.000013054206,0.00046558323,0.9822561,0.000052571017,0.002559914,0.011807886,0.00018309453],"about_ca_topic_score_codex":0.000019855031,"about_ca_topic_score_gemma":0.0003626244,"teacher_disagreement_score":0.8982167,"about_ca_system_score_codex":0.000036722216,"about_ca_system_score_gemma":0.000012828646,"threshold_uncertainty_score":0.9981662},"labels":[],"label_agreement":null},{"id":"W4386987358","doi":"10.1016/j.adhoc.2023.103305","title":"Multi-Agent Deep Reinforcement Learning for content caching within the Internet of Vehicles","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Université Mohammed VI Polytechnique","keywords":"Computer science; Reinforcement learning; The Internet; Process (computing); Quality (philosophy); Computer network; Multimedia; Distributed computing; Artificial intelligence; World Wide Web; Operating system","score_opus":0.047586976462550466,"score_gpt":0.2528018810073125,"score_spread":0.20521490454476202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386987358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12406583,0.0012361966,0.87310594,0.00034828723,0.0007352139,0.00028900345,2.2717155e-7,0.0001791361,0.00004017046],"genre_scores_gemma":[0.99655205,0.00013417957,0.001117078,0.0003281705,0.000067351066,0.00005262621,0.00001039601,0.000013070453,0.0017250909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988186,0.0000911522,0.00033376637,0.00026182295,0.00020058698,0.000294089],"domain_scores_gemma":[0.9990247,0.00030513058,0.0001954845,0.0003415268,0.00007882003,0.00005432852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083110493,0.00013112763,0.00017120967,0.000059951537,0.00018844768,0.00010154953,0.00066292105,0.00005128171,0.0000017092912],"category_scores_gemma":[0.0000743756,0.000094730334,0.00014067031,0.00021415179,0.000040079944,0.00013770258,0.00035385104,0.00026552405,0.000012448662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030085557,0.000015125935,0.0006247356,0.000012682509,0.00006569449,0.0000051306074,0.0020811101,0.9554654,0.00043788683,0.0023380679,0.00065672083,0.03826738],"study_design_scores_gemma":[0.00056852563,0.00013704314,0.0009952517,0.00007700256,0.0000139514195,0.0000029773291,0.00038833966,0.99636173,0.00013514535,0.000044068773,0.0011598011,0.00011614766],"about_ca_topic_score_codex":0.00009861193,"about_ca_topic_score_gemma":0.00006913057,"teacher_disagreement_score":0.87248623,"about_ca_system_score_codex":0.00003731585,"about_ca_system_score_gemma":0.00001900082,"threshold_uncertainty_score":0.3862991},"labels":[],"label_agreement":null},{"id":"W4388037615","doi":"10.1016/j.adhoc.2023.103343","title":"A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"Duke Kunshan University; National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Edge computing; Scheduling (production processes); Intelligent transportation system; Quality of service; Resource allocation; Computer network; Embedded system; Internet of Things; Engineering","score_opus":0.025320227227643252,"score_gpt":0.2919492816774984,"score_spread":0.26662905444985513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388037615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04078705,0.00031906134,0.94760734,0.0010551244,0.008786372,0.00039333664,0.0000012326989,0.001000747,0.000049751838],"genre_scores_gemma":[0.715284,0.000049911894,0.27713132,0.00064190413,0.0065699155,0.00003594053,0.000150327,0.00007314586,0.000063552645],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966998,0.00007155999,0.0006826928,0.00080118637,0.00033249185,0.0014122851],"domain_scores_gemma":[0.99693286,0.0017519179,0.0002712839,0.0006448075,0.00013676967,0.00026234047],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013956024,0.000319257,0.0004050028,0.00015433626,0.00072761736,0.0004240844,0.0012039286,0.00026303783,0.000002064664],"category_scores_gemma":[0.0004993448,0.00032462814,0.00026964696,0.0015090164,0.00006829762,0.0002098984,0.0012260085,0.0007603555,0.000042632022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021128888,0.0001372689,0.0023792405,0.00008223724,0.00013635955,0.00009196893,0.0023816656,0.124422036,0.00018657697,0.025169354,0.018139856,0.8268523],"study_design_scores_gemma":[0.00024511755,0.00007784814,0.0024027126,0.0002706222,0.00001366938,0.000021098036,0.000040689854,0.9721947,0.000094859715,0.006857346,0.017390523,0.00039081587],"about_ca_topic_score_codex":0.0000026390653,"about_ca_topic_score_gemma":0.0000014864646,"teacher_disagreement_score":0.84777266,"about_ca_system_score_codex":0.000093172246,"about_ca_system_score_gemma":0.00008252139,"threshold_uncertainty_score":0.9999206},"labels":[],"label_agreement":null},{"id":"W4389609686","doi":"10.1016/j.adhoc.2023.103380","title":"Verifying trust over IoT-ad hoc network-based applications under uncertainty","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Computer science; Wireless ad hoc network; Robustness (evolution); Internet of Things; Computer security; Trust management (information system); Component (thermodynamics); Business logic; Distributed computing; Risk analysis (engineering); Data science; Telecommunications; Wireless","score_opus":0.02043041900081895,"score_gpt":0.260840256527225,"score_spread":0.24040983752640602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389609686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0128304465,0.0039130156,0.971823,0.0010445359,0.007330708,0.00046823474,7.0482713e-7,0.0013716412,0.0012177335],"genre_scores_gemma":[0.8958815,0.0016226379,0.062167842,0.011996271,0.023650983,0.00061211933,0.0002974806,0.00027841303,0.0034927859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973807,0.00010001429,0.0003851764,0.0007261931,0.00034505498,0.0010629141],"domain_scores_gemma":[0.99812144,0.00043182747,0.00016137488,0.0009950522,0.00008612034,0.00020416664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058929186,0.00030129208,0.00029451348,0.00012497234,0.0007127819,0.00031886247,0.0011191359,0.00021330961,0.000015086218],"category_scores_gemma":[0.000012486179,0.0003065072,0.0001714077,0.0021795072,0.00008252811,0.00017991429,0.0004898131,0.00048478998,0.00025472225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000112854705,0.00002636622,0.00052930915,0.000012630869,0.00002903707,0.000012526371,0.00011829841,0.7129357,0.0000074374575,0.0017028783,0.058057074,0.22655745],"study_design_scores_gemma":[0.00035501074,0.000036819045,0.0035407874,0.000048310398,0.0000120839595,0.0000025059423,0.000008523506,0.75688213,0.0000030164952,0.0023236175,0.23647855,0.0003086384],"about_ca_topic_score_codex":0.000009117934,"about_ca_topic_score_gemma":0.000017847447,"teacher_disagreement_score":0.90965515,"about_ca_system_score_codex":0.00013516478,"about_ca_system_score_gemma":0.00013686193,"threshold_uncertainty_score":0.9999387},"labels":[],"label_agreement":null},{"id":"W4390637657","doi":"10.1016/j.adhoc.2024.103398","title":"SDN-LB: A novel server workload balancing algorithm for IoT video analytics","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Server; Cloud computing; Computer network; Latency (audio); Edge computing; Analytics; Real-time computing; Operating system; Database","score_opus":0.01705402596656132,"score_gpt":0.25183804391287423,"score_spread":0.2347840179463129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390637657","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017544144,0.009060873,0.9711911,0.00064273784,0.016260756,0.00022544451,8.26564e-7,0.00050971913,0.00035414816],"genre_scores_gemma":[0.09906438,0.00043088544,0.8690452,0.003315613,0.02440505,0.000078534686,0.000028055183,0.00015505077,0.0034772288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979587,0.00002573458,0.00035493236,0.0006529245,0.00025257227,0.00075511716],"domain_scores_gemma":[0.99872935,0.00041067647,0.00007085371,0.0005383849,0.0001009399,0.00014979878],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006221744,0.00025710237,0.00027665892,0.00012549655,0.00024430008,0.00065712957,0.0007873221,0.00016486325,0.000003798283],"category_scores_gemma":[0.00002249264,0.00024560635,0.00021300452,0.0009913115,0.00003112155,0.00028411354,0.00041234185,0.00038302667,0.00005405124],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037623306,0.000031195807,0.000104986146,0.000037863712,0.00008752772,0.000042210035,0.00030650332,0.013149143,0.000014294941,0.0010116977,0.028258484,0.95695233],"study_design_scores_gemma":[0.00024706408,0.000058752532,0.00030352816,0.00030372787,0.000027796304,0.000028306999,0.0000050652056,0.9003638,0.000023851933,0.00085478416,0.09749291,0.00029039363],"about_ca_topic_score_codex":0.000009299031,"about_ca_topic_score_gemma":0.0000074251416,"teacher_disagreement_score":0.95666194,"about_ca_system_score_codex":0.000106858744,"about_ca_system_score_gemma":0.00012959828,"threshold_uncertainty_score":0.99999964},"labels":[],"label_agreement":null},{"id":"W4390967355","doi":"10.1016/j.adhoc.2024.103409","title":"Adaptive double-loop coverage optimization of underwater wireless directional restricted sensor networks","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China; Ministry of Natural Resources; Federal Aviation Administration; National Science Foundation; U.S. Department of Transportation; National Aeronautics and Space Administration","keywords":"Underwater; Computer science; Wireless sensor network; Node (physics); Heuristic; Underwater acoustic communication; Reliability (semiconductor); Real-time computing; Software deployment; Position (finance); Computer network; Power (physics); Artificial intelligence; Engineering","score_opus":0.016501033724412074,"score_gpt":0.2175232779478458,"score_spread":0.2010222442234337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390967355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020777171,0.0086234035,0.967611,0.000050797582,0.0005512063,0.00026130717,0.000010976647,0.0006025774,0.001511523],"genre_scores_gemma":[0.99292773,0.0043197772,0.0016672956,0.000025472307,0.00025402097,0.000045330133,0.00014189683,0.00007187169,0.0005466128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883276,0.00007194393,0.00041300815,0.00022413119,0.00017919949,0.00027895457],"domain_scores_gemma":[0.9993479,0.00012776138,0.000051550087,0.0003171248,0.00008733765,0.000068284426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011701293,0.00020610492,0.00024459042,0.00010584684,0.000082435516,0.00011238723,0.00018944245,0.00020710556,0.000058513542],"category_scores_gemma":[4.3778815e-7,0.00019513522,0.000098403645,0.0005309769,0.000043523676,0.0001977641,0.0000602466,0.00033895366,0.000016146758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005306511,0.00001652251,0.000040475545,0.0000322191,0.00016191676,0.0000057396196,0.0000922955,0.9881529,0.0002845581,0.00016503227,0.0005772341,0.010418003],"study_design_scores_gemma":[0.0003798713,0.000046819972,0.00007387031,0.00017635712,0.000034655593,0.000014024817,0.000040351315,0.98846185,0.0004921626,0.000024494078,0.010042564,0.00021294877],"about_ca_topic_score_codex":0.000016324197,"about_ca_topic_score_gemma":0.000026761356,"teacher_disagreement_score":0.97215056,"about_ca_system_score_codex":0.000102162725,"about_ca_system_score_gemma":0.000019058825,"threshold_uncertainty_score":0.79573834},"labels":[],"label_agreement":null},{"id":"W4394851664","doi":"10.1016/j.adhoc.2024.103508","title":"Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","score_opus":0.007151026799997074,"score_gpt":0.2175333968722465,"score_spread":0.21038237007224941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394851664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036037422,0.0044103004,0.9541683,0.00018928653,0.0008283727,0.0008200945,0.000028124117,0.03404661,0.0019051532],"genre_scores_gemma":[0.9716939,0.003248853,0.023205474,0.00006470294,0.000445455,0.00049138936,0.00039922982,0.00011684023,0.00033416075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880767,0.00003319744,0.00029550245,0.00032205982,0.00017766122,0.00036388382],"domain_scores_gemma":[0.99961096,0.000044549433,0.000024638844,0.00019793223,0.00003314847,0.00008878206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036886596,0.0002556339,0.00021008038,0.00020945053,0.00011677061,0.00013334578,0.00015603607,0.00024028213,0.000024587966],"category_scores_gemma":[0.000009962905,0.00025973475,0.00016814431,0.00028729954,0.0000319113,0.0001971225,0.000030306079,0.00046416945,0.0000049426726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035240446,0.000022588998,0.0000071115737,0.00015784868,0.00009109839,0.000014331871,0.00007803422,0.6787991,0.0001854666,0.00025149196,0.036508698,0.28384897],"study_design_scores_gemma":[0.0001871511,0.00014741614,0.000041286672,0.00014813316,0.000067935085,0.0000027958918,0.000010897178,0.75138545,0.00041574807,0.000008374312,0.24740799,0.00017684155],"about_ca_topic_score_codex":0.0000033490678,"about_ca_topic_score_gemma":0.000018029968,"teacher_disagreement_score":0.9680902,"about_ca_system_score_codex":0.00013281591,"about_ca_system_score_gemma":0.000021956874,"threshold_uncertainty_score":0.9999855},"labels":[],"label_agreement":null},{"id":"W4400038228","doi":"10.1016/j.adhoc.2024.103585","title":"Strategic deployment of RSUs in urban settings: Optimizing IEEE 802.11p infrastructure","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Software deployment; Business; IEEE 802; IEEE 802.11p; Computer science; Computer network; Telecommunications; Wireless; Vehicular ad hoc network; Wireless ad hoc network; Operating system","score_opus":0.013556746953789778,"score_gpt":0.25375811072788707,"score_spread":0.2402013637740973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400038228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06610454,0.042256076,0.86908126,0.0015321778,0.005240171,0.008594347,0.000011529897,0.0012044063,0.005975484],"genre_scores_gemma":[0.97988176,0.00041082458,0.018237796,0.00027722807,0.00050142175,0.00055759796,0.000005633513,0.000037567945,0.00009016873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980637,0.00010196432,0.0004750364,0.0005429851,0.00027131682,0.000545001],"domain_scores_gemma":[0.9990318,0.00017600444,0.00011672364,0.0005227379,0.000041838142,0.00011093922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042990237,0.00025286272,0.00031754738,0.00013230133,0.000065206004,0.00030706418,0.0007968409,0.00020211925,0.000024753663],"category_scores_gemma":[0.0000036226504,0.00022555362,0.000107949614,0.000918849,0.000051299925,0.0003615647,0.00019970228,0.0005863708,0.000007376826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031946503,0.000040015286,0.0004017291,0.00014473799,0.000052349624,0.00016755506,0.0010171054,0.8003662,0.00009724664,0.01599238,0.013641476,0.1680472],"study_design_scores_gemma":[0.00035568795,0.00017050406,0.0003036219,0.0007171037,0.000009288838,0.000016927923,0.00004922255,0.98253834,0.00013361206,0.004076198,0.01134067,0.00028880162],"about_ca_topic_score_codex":0.000009582887,"about_ca_topic_score_gemma":0.000023540131,"teacher_disagreement_score":0.91377723,"about_ca_system_score_codex":0.000079908634,"about_ca_system_score_gemma":0.00012011818,"threshold_uncertainty_score":0.91978097},"labels":[],"label_agreement":null},{"id":"W4400087718","doi":"10.1016/j.adhoc.2024.103578","title":"An innovative multi-agent approach for robust cyber–physical systems using vertical federated learning","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"King Saud University; Council of Scientific and Industrial Research, India","keywords":"Cyber-physical system; Computer science; Federated learning; Distributed computing; Operating system","score_opus":0.07001147861332492,"score_gpt":0.31249326750061784,"score_spread":0.24248178888729294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400087718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020522889,0.0016056497,0.97429764,0.00036357573,0.00080083497,0.0004969738,0.000006121232,0.0018512766,0.000055024237],"genre_scores_gemma":[0.600029,0.000022464443,0.3995113,0.000035312147,0.00020908656,0.00007374736,0.00006584617,0.00003446827,0.00001878343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768376,0.00016358079,0.0003151176,0.0009323478,0.0002644301,0.0006407639],"domain_scores_gemma":[0.99711597,0.00029907544,0.000055220993,0.0022519603,0.00018075178,0.000097017415],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005527252,0.00026751828,0.00031022492,0.00013140374,0.00035464586,0.0011203839,0.006295856,0.00023770369,8.882086e-7],"category_scores_gemma":[0.001497645,0.00024285428,0.00006462987,0.0014742011,0.00011928057,0.000874645,0.010491115,0.00081466156,0.000006983784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003351907,0.00034716405,0.00015118066,0.00015016331,0.0002228186,0.00006886011,0.00047449407,0.89324373,0.0012427109,0.00804575,0.013691673,0.08232794],"study_design_scores_gemma":[0.00023202835,0.00014836046,0.000040453786,0.00010643776,0.0000156047,0.000020026471,0.00009548622,0.9973573,0.00014783334,0.00052835234,0.0010091196,0.00029897096],"about_ca_topic_score_codex":0.000012041656,"about_ca_topic_score_gemma":0.0000017081175,"teacher_disagreement_score":0.5795061,"about_ca_system_score_codex":0.0002064802,"about_ca_system_score_gemma":0.00009563209,"threshold_uncertainty_score":0.99991655},"labels":[],"label_agreement":null},{"id":"W4400338833","doi":"10.1016/j.adhoc.2024.103595","title":"Intelligent Computer Networks and Distributed Systems","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Computer science; Distributed computing","score_opus":0.01308255203995932,"score_gpt":0.23364584619148612,"score_spread":0.2205632941515268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400338833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013269286,0.09584295,0.89591384,0.00028955113,0.005258004,0.00024715514,0.0000038557764,0.00088681903,0.0002309205],"genre_scores_gemma":[0.9910334,0.0042231167,0.002291701,0.00035582363,0.0017981568,0.000024734998,0.000047588648,0.000035097968,0.00019039506],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976554,0.00016799175,0.00040654573,0.0008589829,0.00022793832,0.00068312464],"domain_scores_gemma":[0.9983822,0.000677188,0.00007022402,0.0005056645,0.00011015642,0.0002545628],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005489171,0.00033404332,0.00033618865,0.00010824448,0.00022954294,0.0012702042,0.0005977609,0.00020511405,0.000006535658],"category_scores_gemma":[0.000009524034,0.00029930897,0.00011715627,0.0008330656,0.00009905253,0.00027232425,0.0007357043,0.00063027244,0.000038053568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071891964,0.000022479953,0.00012467375,0.000028357106,0.000083112725,0.00015069862,0.00010480127,0.36914405,4.2653184e-7,0.009527776,0.021024317,0.5997821],"study_design_scores_gemma":[0.00012360945,0.000117244505,0.00055122003,0.00045758585,0.000022907057,0.00014000059,0.00001073752,0.9335937,9.385305e-7,0.0002844746,0.06435918,0.00033843506],"about_ca_topic_score_codex":0.0000064965698,"about_ca_topic_score_gemma":0.000005279835,"teacher_disagreement_score":0.98970646,"about_ca_system_score_codex":0.000065655615,"about_ca_system_score_gemma":0.00003585761,"threshold_uncertainty_score":0.9999459},"labels":[],"label_agreement":null},{"id":"W4401306181","doi":"10.1016/j.adhoc.2024.103612","title":"Towards an optimal 3-D design and deployment of 6G UAVs for interference mitigation under terrestrial networks","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; École de Technologie Supérieure","funders":"King Saud University","keywords":"Computer science; Adaptability; Software deployment; Enhanced Data Rates for GSM Evolution; Throughput; Quality of service; Cluster analysis; Interference (communication); Computer network; Distributed computing; Network performance; Key (lock); Reliability (semiconductor); Real-time computing; Telecommunications; Wireless; Power (physics); Channel (broadcasting)","score_opus":0.018163318520837156,"score_gpt":0.2493008064082549,"score_spread":0.23113748788741773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401306181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011906413,0.004654045,0.98234206,0.00004341331,0.00036569196,0.00043876574,0.000004633569,0.00018127156,0.00006371467],"genre_scores_gemma":[0.94046474,0.0014077091,0.05755244,0.000017647968,0.00026039899,0.00015171517,0.000090961665,0.000038142036,0.000016279197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993726,0.000019691397,0.00021044615,0.00017866514,0.000055915607,0.00016268445],"domain_scores_gemma":[0.99967605,0.00008480748,0.000023629163,0.00013435041,0.000023898407,0.0000572686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014785539,0.00011873217,0.000120785124,0.00004550874,0.000039776558,0.00008115635,0.000079129095,0.000113395705,0.00001233829],"category_scores_gemma":[0.00000259722,0.00011728153,0.000032902833,0.00014287185,0.000030908956,0.00015868897,0.00001772419,0.000101978,6.5589205e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003548899,0.000008994222,0.000003580176,0.000016690019,0.0000304299,2.4528072e-7,0.000088526795,0.885515,0.00006021702,0.00068616593,0.0008282556,0.11272644],"study_design_scores_gemma":[0.00022609848,0.00013278211,0.00008190584,0.00006791944,0.000042981294,0.0000019360725,0.000030267824,0.9977093,0.00024543298,0.0004188719,0.00092128676,0.000121213765],"about_ca_topic_score_codex":0.000003061387,"about_ca_topic_score_gemma":0.000007861745,"teacher_disagreement_score":0.9285583,"about_ca_system_score_codex":0.000036743302,"about_ca_system_score_gemma":0.000016784803,"threshold_uncertainty_score":0.47826022},"labels":[],"label_agreement":null},{"id":"W4403532758","doi":"10.1016/j.adhoc.2024.103686","title":"Approximation schemes for age of information minimization in UAV grid patrols","year":2024,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Age of Information Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hubei Province; Huazhong University of Science and Technology; National Natural Science Foundation of China","keywords":"Minification; Grid; Computer science; Mathematical optimization; Operations research; Mathematics; Geometry","score_opus":0.007865543401457498,"score_gpt":0.22616239483861142,"score_spread":0.2182968514371539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403532758","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007135258,0.00048780127,0.9965563,0.00026609024,0.000530969,0.00052383146,0.0000052667174,0.00016409368,0.0007521427],"genre_scores_gemma":[0.4388512,0.0005532735,0.5582772,0.00038556676,0.00021236163,0.0002561894,0.0013485,0.000019894916,0.00009583564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895054,0.00002516437,0.0005391351,0.00012838749,0.00018723574,0.00016955209],"domain_scores_gemma":[0.9993357,0.000108987544,0.00017328965,0.00021740644,0.00013501996,0.000029567924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035289544,0.000105891384,0.00013032889,0.00028914097,0.00004383574,0.00023386323,0.0002675514,0.000108009146,0.0000070674373],"category_scores_gemma":[0.000070516435,0.00010551006,0.00005341117,0.000709206,0.000019534213,0.004186899,0.000060393228,0.00009020262,0.000011685743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002108969,0.000018763474,0.00004941092,0.00019753823,0.00001367521,0.000001014868,0.002322427,0.5674905,0.000012636393,0.061174627,0.002846984,0.3658513],"study_design_scores_gemma":[0.0002959983,0.000047262885,0.00018195712,0.000100753416,0.00000435679,0.0000019351778,0.00004460597,0.97902924,0.00011685425,0.0009979418,0.019073397,0.00010572456],"about_ca_topic_score_codex":0.0000013059775,"about_ca_topic_score_gemma":0.0000034156337,"teacher_disagreement_score":0.43827912,"about_ca_system_score_codex":0.000062873456,"about_ca_system_score_gemma":0.00005243382,"threshold_uncertainty_score":0.43025753},"labels":[],"label_agreement":null},{"id":"W4406560496","doi":"10.1016/j.adhoc.2024.103745","title":"Detection and Mitigation of Clock Deviation in the Verification & Validation of Drone-aided Lifting Operations","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Drone; Computer science; Biology","score_opus":0.011777955000730042,"score_gpt":0.25493645470488585,"score_spread":0.24315849970415582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406560496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44616872,0.0003669657,0.5528259,0.00017600507,0.0001074843,0.00022684479,1.8833938e-7,0.000015343043,0.00011250261],"genre_scores_gemma":[0.98797816,0.000086395274,0.011804328,0.000032063,0.000029006109,0.00003766828,0.000014807361,0.0000035503842,0.000014015574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886346,0.00026020713,0.00043605347,0.0001938228,0.0001497552,0.00009673052],"domain_scores_gemma":[0.99913895,0.00019571921,0.00018964363,0.0003190478,0.00014406096,0.0000125765455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094138493,0.0000723587,0.0001202537,0.00013426674,0.000102103426,0.00008101355,0.00019840061,0.00008036009,6.5676096e-7],"category_scores_gemma":[0.00013512911,0.00006546473,0.000025143656,0.00078528136,0.000024584813,0.0005060635,0.000036937065,0.00009970749,0.0000010781264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023178498,0.00009116005,0.0073881084,0.00013730131,0.000039506143,3.0173865e-7,0.006390753,0.6672058,0.10330086,0.045651764,0.000039684313,0.1697316],"study_design_scores_gemma":[0.00029977266,0.000034585482,0.036286775,0.00016952545,0.000016061205,0.000002160256,0.00019062776,0.93911916,0.022571621,0.0011452071,0.00008020764,0.000084270985],"about_ca_topic_score_codex":0.00006775219,"about_ca_topic_score_gemma":0.00024194275,"teacher_disagreement_score":0.54180944,"about_ca_system_score_codex":0.000040832652,"about_ca_system_score_gemma":0.00003858859,"threshold_uncertainty_score":0.26695743},"labels":[],"label_agreement":null},{"id":"W4406833355","doi":"10.1016/j.adhoc.2025.103765","title":"Location estimation for supporting adaptive beamforming","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"EIT Digital; European Institute of Innovation and Technology; Engineering and Physical Sciences Research Council; UK National Ion Beam Centre; University of Glasgow; James Watt School of Engineering, University of Glasgow; University of Guelph","keywords":"Estimation; Beamforming; Computer science; Adaptive beamformer; Telecommunications; Engineering; Systems engineering","score_opus":0.006812676455384279,"score_gpt":0.24045131385390994,"score_spread":0.23363863739852567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406833355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020102633,0.0016095624,0.9937274,0.000058213755,0.00039273713,0.00026966596,0.0000012138674,0.0007312818,0.0011996988],"genre_scores_gemma":[0.9813031,0.000100114696,0.018177189,0.0000699119,0.00003898083,0.00009229339,0.000040865103,0.000015928988,0.00016160973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994471,0.000004043168,0.00019976454,0.00010319388,0.00004420694,0.00020168081],"domain_scores_gemma":[0.99969494,0.00007046869,0.000034468627,0.00011891468,0.00006759446,0.000013597615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011211658,0.00009113532,0.000099531375,0.000085903106,0.00010101963,0.000025716423,0.00008526852,0.00011940411,0.000004197474],"category_scores_gemma":[0.00006443373,0.000097299824,0.00003154432,0.00030861757,0.000019307483,0.00012730378,0.000016922697,0.000090618414,0.00000364177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054887273,0.0000023251373,0.000029573539,0.000038632796,0.000014014077,1.4986531e-7,0.000049167124,0.73889416,0.000015028513,0.0068790014,0.0013304838,0.252742],"study_design_scores_gemma":[0.00016954202,0.00001847222,0.00008195335,0.0000783217,0.00001717321,4.5132978e-7,0.00017698796,0.9911956,0.0019160392,0.0030801578,0.0031696483,0.000095652045],"about_ca_topic_score_codex":9.82458e-7,"about_ca_topic_score_gemma":0.000009088047,"teacher_disagreement_score":0.97929287,"about_ca_system_score_codex":0.00007044329,"about_ca_system_score_gemma":0.000014323088,"threshold_uncertainty_score":0.39677715},"labels":[],"label_agreement":null},{"id":"W4408211421","doi":"10.1016/j.adhoc.2025.103815","title":"WSN-based wildlife localization framework in dense forests through optimization techniques","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Wildlife; Computer science; Environmental resource management; Environmental science; Remote sensing; Geography; Ecology; Biology","score_opus":0.012462653020050158,"score_gpt":0.30030457916154796,"score_spread":0.2878419261414978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408211421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014442168,0.0019893956,0.9819135,0.00049764966,0.000067870096,0.00025627995,0.0000016583288,0.000048977403,0.00078250066],"genre_scores_gemma":[0.9665662,0.0012268755,0.026912536,0.0047373665,0.000053205655,0.000069390015,0.00027644215,0.000017212356,0.00014077533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992473,0.00008782368,0.00021169147,0.00022324883,0.00006623578,0.00016368188],"domain_scores_gemma":[0.9994235,0.000027126005,0.00006171398,0.00038289212,0.00007729216,0.000027489014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011316494,0.00011904275,0.00010940912,0.000039840503,0.00008061994,0.000025798658,0.00019835119,0.00032721044,0.000018084675],"category_scores_gemma":[0.00007321481,0.00012197302,0.000048850223,0.00029233427,0.00006682027,0.0000061007227,0.000082593506,0.00016401857,0.0000016614161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067567005,0.00050947926,0.07868403,0.00004241446,0.000038709855,0.0000065202726,0.000092577626,0.8526339,0.0014219601,0.0034948066,0.016482744,0.045917172],"study_design_scores_gemma":[0.0018260734,0.00090315985,0.020746684,0.0008343543,0.000115055394,0.000004282726,0.00017403712,0.6803221,0.022592003,0.0027094213,0.26862955,0.0011432524],"about_ca_topic_score_codex":0.000007965833,"about_ca_topic_score_gemma":0.00016274361,"teacher_disagreement_score":0.95500094,"about_ca_system_score_codex":0.00002558953,"about_ca_system_score_gemma":0.0000559745,"threshold_uncertainty_score":0.49739152},"labels":[],"label_agreement":null},{"id":"W4409841704","doi":"10.1016/j.adhoc.2025.103871","title":"SC-MLIDS: Fusion-based Machine Learning Framework for Intrusion Detection in Wireless Sensor Networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Norleaf Networks (Canada); Cistel Technology (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intrusion detection system; Computer science; Wireless sensor network; Fusion; Artificial intelligence; Computer network","score_opus":0.007260750987940545,"score_gpt":0.23647004729864954,"score_spread":0.229209296310709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409841704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03632733,0.0034936816,0.95494956,0.00072686584,0.0029296528,0.0007304683,0.0000014371384,0.0006660918,0.000174914],"genre_scores_gemma":[0.94061095,0.00080507953,0.056284454,0.0013289526,0.0004513227,0.00017551609,0.000046984653,0.000068978436,0.00022774762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958917,0.00045185312,0.00080780487,0.0012386207,0.00039307348,0.001216943],"domain_scores_gemma":[0.9959074,0.002329546,0.0003342945,0.0010340279,0.00021076962,0.0001839327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010234382,0.00054576574,0.00062625925,0.0005255715,0.0006843282,0.00032186584,0.001147959,0.0008154702,0.000012123788],"category_scores_gemma":[0.00022875977,0.00056198915,0.00025649188,0.002779099,0.0001158813,0.0002722433,0.0004629871,0.0016990848,0.00000693903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015220387,0.00009483805,0.0012612111,0.000020355477,0.000019798286,0.000016364434,0.000047261536,0.75198495,0.00008546176,0.0057202335,0.00009229158,0.24050501],"study_design_scores_gemma":[0.0011888811,0.00019146426,0.0009217133,0.00067598047,0.000023490005,0.0000041910503,0.000022198325,0.99069977,0.0004654406,0.0007919685,0.004473553,0.0005413464],"about_ca_topic_score_codex":0.000044605415,"about_ca_topic_score_gemma":0.000546218,"teacher_disagreement_score":0.90428364,"about_ca_system_score_codex":0.00030094752,"about_ca_system_score_gemma":0.00009491939,"threshold_uncertainty_score":0.99968314},"labels":[],"label_agreement":null},{"id":"W4410554075","doi":"10.1016/j.adhoc.2025.103898","title":"Heuristic and reinforcement learning-based survivable trust-aware virtual network embedding for IoT networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Heuristic; Embedding; Computer network; Internet of Things; Distributed computing; Artificial intelligence; Computer security","score_opus":0.008372500812071288,"score_gpt":0.2446379987833834,"score_spread":0.23626549797131213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410554075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00089500623,0.009139673,0.9857215,0.00052312977,0.0019551532,0.0007712554,0.0000012654336,0.0006278565,0.00036513593],"genre_scores_gemma":[0.9755376,0.0010294575,0.015220545,0.0034453939,0.0010664277,0.00030735726,0.00009997841,0.00007858881,0.003214666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963571,0.00016362802,0.00070834777,0.0010418791,0.00031132385,0.001417724],"domain_scores_gemma":[0.9966669,0.0017331518,0.0002899373,0.0008468987,0.00019406498,0.00026905836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010907779,0.0005422834,0.00066335505,0.00015330783,0.0010263765,0.0005171541,0.000935161,0.00040501452,0.00002626003],"category_scores_gemma":[0.000114470386,0.00054586906,0.00022146077,0.0011870856,0.00012727205,0.00022542311,0.00050114846,0.0007437456,0.0000057502134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012525942,0.000028429222,0.0026475326,0.000029526518,0.000082612256,0.000009668413,0.000032529995,0.9152832,2.1063681e-7,0.011037426,0.02141776,0.049305834],"study_design_scores_gemma":[0.00145402,0.0004503311,0.00069321186,0.00029998051,0.00006585316,0.0000038170156,0.000022126016,0.94286495,0.000002248709,0.0013007063,0.052317355,0.0005254217],"about_ca_topic_score_codex":0.000017149416,"about_ca_topic_score_gemma":0.000042307387,"teacher_disagreement_score":0.9746426,"about_ca_system_score_codex":0.0001195156,"about_ca_system_score_gemma":0.00019525691,"threshold_uncertainty_score":0.9996993},"labels":[],"label_agreement":null},{"id":"W4410773100","doi":"10.1016/j.adhoc.2025.103877","title":"AUV-Assisted data collection using hybrid clustering and reinforcement learning in underwater acoustic sensor networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Key Research and Development Project of Hainan Province; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Underwater; Reinforcement learning; Cluster analysis; Acoustic sensor; Computer science; Data collection; Acoustics; Artificial intelligence; Geology; Physics; Mathematics; Oceanography","score_opus":0.029254581150537817,"score_gpt":0.25239446249422715,"score_spread":0.22313988134368934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410773100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052084982,0.003271266,0.94331485,0.00004724991,0.00025407184,0.0002742497,6.3129556e-7,0.0003113045,0.00044136622],"genre_scores_gemma":[0.9959464,0.0017338879,0.0015281229,0.00007381151,0.0000665783,0.000017321234,0.000055572265,0.000042993353,0.0005353045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876565,0.000099818055,0.00042352008,0.0002671697,0.00009250953,0.0003513128],"domain_scores_gemma":[0.9992584,0.000092577924,0.000056459376,0.0005130829,0.000026997232,0.00005250609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032283276,0.00018800724,0.00024324672,0.00013983139,0.00020816133,0.00015689473,0.00025551108,0.000111886155,0.0000097357515],"category_scores_gemma":[0.0000034235466,0.00020045084,0.000024544775,0.00035511766,0.0000286693,0.00019216063,0.0003797918,0.00041678848,0.0000019091583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002121861,0.0000064241467,0.0007840294,0.000051590654,0.000055522076,0.000004908945,0.000067719375,0.9853247,0.0006595575,0.000002183052,0.00018105598,0.012841115],"study_design_scores_gemma":[0.0005131453,0.000016599952,0.0007218174,0.00029189722,0.000034186003,0.000022321105,0.00016409159,0.9906405,0.000044544733,0.000006759109,0.0073510245,0.00019309817],"about_ca_topic_score_codex":0.000057033092,"about_ca_topic_score_gemma":0.00031985532,"teacher_disagreement_score":0.9438614,"about_ca_system_score_codex":0.00016645009,"about_ca_system_score_gemma":0.000017777713,"threshold_uncertainty_score":0.8174148},"labels":[],"label_agreement":null},{"id":"W4411298049","doi":"10.1016/j.adhoc.2025.103942","title":"QLA-MAODV: A Q-learning adaptive multicast routing protocol for mobile ad-hoc networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Protocol Independent Multicast; Computer network; Distance Vector Multicast Routing Protocol; Computer science; Multicast; Wireless Routing Protocol; Optimized Link State Routing Protocol; Geocast; Ad hoc wireless distribution service; Distributed computing; Routing protocol; Routing (electronic design automation); Xcast","score_opus":0.0162838174051752,"score_gpt":0.29187008167596573,"score_spread":0.2755862642707905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411298049","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013335308,0.0029572328,0.8927657,0.00018602026,0.001088451,0.09991058,0.0000029759508,0.001048891,0.0019067922],"genre_scores_gemma":[0.1787194,0.00039895,0.10934316,0.001755495,0.0015955226,0.7033489,0.00004632896,0.0002434102,0.0045488477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99360317,0.00049120944,0.001253601,0.0019380692,0.0005277482,0.002186202],"domain_scores_gemma":[0.9949177,0.0018263009,0.0006581742,0.0017095683,0.00048050735,0.00040775342],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015377972,0.00087747927,0.0009886668,0.00023473131,0.0011023983,0.00073274627,0.0024589298,0.0007014698,0.00006008174],"category_scores_gemma":[0.00014661248,0.0008808366,0.0004947078,0.0019079909,0.00021678647,0.000870532,0.0015672902,0.001815612,0.000043367963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031413036,0.00016397936,0.00022452124,0.00004437617,0.00013776991,0.0000280635,0.00034880484,0.4986374,0.0000066020334,0.0061643603,0.0075307153,0.48639926],"study_design_scores_gemma":[0.0024707227,0.00075282867,0.00022433251,0.0005805332,0.0000463415,0.000012360786,0.00014199932,0.7995143,0.000018165978,0.00066989113,0.19487068,0.0006978586],"about_ca_topic_score_codex":0.0000068001855,"about_ca_topic_score_gemma":0.00009117071,"teacher_disagreement_score":0.7834225,"about_ca_system_score_codex":0.00035631584,"about_ca_system_score_gemma":0.00028459224,"threshold_uncertainty_score":0.99936426},"labels":[],"label_agreement":null},{"id":"W4412651233","doi":"10.1016/j.adhoc.2025.103973","title":"Energy consumption minimized wireless powered edge computing","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"National Natural Science Foundation of China","keywords":"Energy consumption; Wireless; Enhanced Data Rates for GSM Evolution; Computer science; Consumption (sociology); Energy (signal processing); Electrical engineering; Telecommunications; Engineering; Physics","score_opus":0.011202794721765802,"score_gpt":0.24288612738041815,"score_spread":0.23168333265865235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412651233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024641791,0.0047017294,0.94915944,0.00036620913,0.016484011,0.00010386938,9.032203e-8,0.00044211262,0.004100772],"genre_scores_gemma":[0.98019177,0.0004084821,0.014892714,0.0018362427,0.001645032,0.00000709034,0.0000149004145,0.000020308544,0.0009834787],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981691,0.00014302085,0.00039728085,0.00053600513,0.00017123175,0.0005833523],"domain_scores_gemma":[0.9987109,0.0003863329,0.00014828243,0.0005601649,0.000097522745,0.00009682826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036246394,0.00022752426,0.00031881066,0.00014628914,0.0003597895,0.0002599168,0.0008641356,0.00016676211,0.000004992792],"category_scores_gemma":[0.000014885567,0.00023574058,0.00011903728,0.0005969178,0.000064667125,0.00020294654,0.00062138104,0.000249853,0.000026214791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030664807,0.000056223016,0.00083187537,0.000020550006,0.00006049606,0.000023464969,0.00029828097,0.0013529488,0.00008068718,0.009812138,0.039257664,0.948175],"study_design_scores_gemma":[0.0008817309,0.000027970556,0.001791799,0.00017509455,0.0000135217015,0.00000873842,0.0000076254114,0.950379,0.00014502062,0.00078829465,0.04550469,0.00027650731],"about_ca_topic_score_codex":0.000010638573,"about_ca_topic_score_gemma":0.000004406056,"teacher_disagreement_score":0.95554996,"about_ca_system_score_codex":0.00007024754,"about_ca_system_score_gemma":0.000078156096,"threshold_uncertainty_score":0.9613221},"labels":[],"label_agreement":null},{"id":"W4412721420","doi":"10.1016/j.adhoc.2025.103956","title":"Mobility-aware task offloading in UAV-MEC-assisted IoV: A two-stage approach","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Huaqiao University; National Natural Science Foundation of China","keywords":"Computer science; Task (project management); Stage (stratigraphy); Human–computer interaction; Real-time computing; Engineering; Systems engineering; Geology","score_opus":0.014267222196731415,"score_gpt":0.25765562792639973,"score_spread":0.24338840572966833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412721420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04417482,0.002583832,0.9327993,0.00027362828,0.0060669235,0.0004399407,4.0924667e-7,0.0004261347,0.013235041],"genre_scores_gemma":[0.9802807,0.000044280354,0.016413113,0.00076400803,0.00086293573,0.00005130436,0.00001604696,0.000022152431,0.0015454685],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747294,0.00019174721,0.00049139664,0.0008244762,0.0002273448,0.0007920695],"domain_scores_gemma":[0.9985206,0.0002587728,0.00011799745,0.00092115626,0.00007259002,0.000108894514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008654566,0.00028073826,0.00038751014,0.0002465725,0.0002618756,0.00028738703,0.0012052467,0.00017595653,0.0000030115484],"category_scores_gemma":[0.000036311063,0.00028513328,0.00013476625,0.0018075292,0.000061605235,0.00033768144,0.0007978781,0.0006205643,0.000016763035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007691236,0.00076728646,0.014301385,0.0002486259,0.00014323679,0.00018362707,0.0028102773,0.10022298,0.00015837702,0.012238217,0.026165053,0.84268403],"study_design_scores_gemma":[0.0007205263,0.00003173385,0.0061532445,0.00015791996,0.000009059179,0.000007570209,0.000054170803,0.9745616,0.00002249054,0.0005657779,0.017409066,0.00030686],"about_ca_topic_score_codex":0.000051864,"about_ca_topic_score_gemma":0.00003360464,"teacher_disagreement_score":0.93610585,"about_ca_system_score_codex":0.00018440296,"about_ca_system_score_gemma":0.00012567887,"threshold_uncertainty_score":0.99996006},"labels":[],"label_agreement":null},{"id":"W4413269651","doi":"10.1016/j.adhoc.2025.103983","title":"Utilization of machine learning in future wireless networks for resource optimization: A survey","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource (disambiguation); Wireless network; Wireless; Artificial intelligence; Computer network; Telecommunications","score_opus":0.017238257582533015,"score_gpt":0.2540747115855192,"score_spread":0.2368364540029862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413269651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019274582,0.005588467,0.98858106,0.00024837372,0.0029416503,0.00025791686,2.8506e-7,0.00011006484,0.00034472128],"genre_scores_gemma":[0.9467704,0.0014771229,0.0464506,0.0008185266,0.0029139176,0.000049251797,0.00038247238,0.000056113622,0.0010815614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985534,0.00024299159,0.00038479452,0.00035741072,0.00011436266,0.0003470395],"domain_scores_gemma":[0.9988709,0.0004698358,0.00017107504,0.00030688953,0.00014143845,0.000039847386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010084767,0.00015445953,0.00026661126,0.00014773791,0.00017660418,0.00008462477,0.0005191186,0.000177934,0.0000013225759],"category_scores_gemma":[0.000059288694,0.00015978041,0.00006167093,0.0014667573,0.000027120288,0.00015599278,0.00023729226,0.0003033789,2.6785705e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037372774,0.000021588246,0.007544241,0.000016072067,0.000010473867,9.609273e-7,0.00015217853,0.8108664,2.9582287e-7,0.000550582,0.0025674184,0.17823239],"study_design_scores_gemma":[0.0004858721,0.00004736893,0.0055020466,0.000118710945,0.0000054371217,9.120697e-7,0.000012630905,0.9802602,0.000005156512,0.00005703963,0.013369407,0.00013519885],"about_ca_topic_score_codex":0.000020109072,"about_ca_topic_score_gemma":0.00007431676,"teacher_disagreement_score":0.944843,"about_ca_system_score_codex":0.00003963062,"about_ca_system_score_gemma":0.00005608862,"threshold_uncertainty_score":0.6515656},"labels":[],"label_agreement":null},{"id":"W4414444832","doi":"10.1016/j.adhoc.2025.104004","title":"PORPRS: Priority-aware task offloading in HAP-aided Internet of Vehicles via GRPO with Dynamic residual shrinkage networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Energy consumption; Task (project management); Robustness (evolution); Computation offloading; Quality of service; The Internet; Task analysis; Computation; Adaptability","score_opus":0.004803899195637696,"score_gpt":0.22262302274231568,"score_spread":0.21781912354667798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414444832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19133598,0.0032621317,0.8009541,0.00026536462,0.0030647262,0.00031340492,2.9740517e-7,0.00021461783,0.00058935536],"genre_scores_gemma":[0.99130523,0.00012234543,0.0074235443,0.00030148885,0.00042138292,0.0000135453065,0.000016268474,0.000028391481,0.00036778257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972955,0.00018590072,0.0006745622,0.00074283336,0.00029131764,0.00080990995],"domain_scores_gemma":[0.9983945,0.00035024024,0.0002758541,0.00076404045,0.00010705064,0.00010831973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007073446,0.0003566255,0.00054771197,0.0003135287,0.0001368777,0.00018691865,0.001309587,0.00025555995,0.0000023943608],"category_scores_gemma":[0.000021443033,0.00033798043,0.00009984084,0.0013910449,0.00012983604,0.00043240853,0.00087405293,0.00079137215,0.0000047205867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003600354,0.00034946232,0.06148222,0.0002392078,0.00033793828,0.0004907441,0.0034055582,0.15054503,0.00020387858,0.0028688484,0.0149480635,0.764769],"study_design_scores_gemma":[0.00083398883,0.00015903532,0.020916862,0.00093442464,0.000022923065,0.00001706301,0.00003426894,0.9747516,0.000072845345,0.0007721792,0.0011235437,0.0003612487],"about_ca_topic_score_codex":0.00011612043,"about_ca_topic_score_gemma":0.00028203285,"teacher_disagreement_score":0.8242066,"about_ca_system_score_codex":0.00015421277,"about_ca_system_score_gemma":0.00012844942,"threshold_uncertainty_score":0.9999072},"labels":[],"label_agreement":null},{"id":"W4415931143","doi":"10.1016/j.adhoc.2025.104089","title":"A dual-mode framework for indoor localization via temporal learning and knowledge distillation","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Task (project management); Inference; RSS; Dynamic time warping; Selection (genetic algorithm); Multilayer perceptron; Perceptron; Pattern recognition (psychology); Task analysis","score_opus":0.005734475632000342,"score_gpt":0.25968804901972226,"score_spread":0.2539535733877219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415931143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003925731,0.006266401,0.9875162,0.00004833421,0.0004776718,0.0002880282,0.0000031602606,0.0008148026,0.0006596621],"genre_scores_gemma":[0.9950192,0.0007964524,0.0036784443,0.000030474997,0.00010429189,0.000059600014,0.00007512249,0.00003131739,0.0002050865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930906,0.000020218456,0.00021661168,0.00017903073,0.000050478207,0.00022458751],"domain_scores_gemma":[0.99962246,0.00013335815,0.00003665566,0.00011487963,0.00006322891,0.000029391802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009846272,0.0001507393,0.00017019661,0.00011799416,0.00017951419,0.000053742442,0.0000586933,0.000306691,0.000009419214],"category_scores_gemma":[0.000105553576,0.00015692502,0.00003776775,0.00040385392,0.000050646737,0.00008750161,0.000041288782,0.00023237937,0.00000314012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000353316,0.000014440693,0.008536516,0.0001723076,0.00005926733,9.5025155e-7,0.00032489104,0.6209034,0.00002839888,0.020407492,0.0014539704,0.34806305],"study_design_scores_gemma":[0.00028247578,0.00003096639,0.0006184493,0.00011630802,0.000024881234,9.1539937e-7,0.000092189744,0.95722634,0.00023672702,0.009612763,0.031592745,0.00016522291],"about_ca_topic_score_codex":0.0000022635293,"about_ca_topic_score_gemma":0.00003302114,"teacher_disagreement_score":0.99109346,"about_ca_system_score_codex":0.000055056364,"about_ca_system_score_gemma":0.000013121341,"threshold_uncertainty_score":0.63992167},"labels":[],"label_agreement":null}]}