{"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20658359,0.006786654,0.77132,0.0016465856,0.00048764932,0.00015664956,0.0011543721,0.0013088118,0.01055561],"genre_scores_gemma":[0.98967314,0.0007201167,0.0082731955,0.000044004886,0.00011065391,0.00002078717,0.00019937716,0.000035411056,0.0009233304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998502,0.0004104678,0.00009731138,0.00031912222,0.00041112167,0.00025987392],"domain_scores_gemma":[0.99434495,0.0032498944,0.00072125165,0.00063371676,0.0008582998,0.00019188918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015994856,0.0005943782,0.0011782472,0.0013819614,0.0010048231,0.001708413,0.0016512988,0.0010281702,0.0013964183],"category_scores_gemma":[0.008993848,0.0007028865,0.00029313492,0.0025252898,0.001073044,0.004021086,0.0016939951,0.00070706464,0.0003433879],"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":[0.00051205675,0.00008180883,0.007030641,0.00033419774,0.00010516029,0.00088335003,0.00030181094,0.8716616,0.0070628384,0.04133438,0.004757946,0.06593415],"study_design_scores_gemma":[0.000010439323,0.00006247272,0.0014543723,0.000022838793,0.000039110015,0.00029113822,0.00035442,0.9731621,0.0024345494,0.019809324,0.0023370646,0.000022153985],"about_ca_topic_score_codex":0.0054338095,"about_ca_topic_score_gemma":0.005347132,"teacher_disagreement_score":0.0054338095,"about_ca_system_score_codex":0.0010868132,"about_ca_system_score_gemma":0.0010159628,"threshold_uncertainty_score":0.010804355},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0842876,0.0012359441,0.8997373,0.0016518888,0.00026681603,0.000119651704,0.00028236053,0.00015874815,0.012259611],"genre_scores_gemma":[0.8028117,0.0013826732,0.1868901,0.00028104964,0.00015834528,0.00018658808,0.00026586847,0.00016033958,0.007863399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996656,0.000107677646,0.000016594535,0.000049379352,0.00012477182,0.00003597097],"domain_scores_gemma":[0.9974928,0.00204263,0.00011950384,0.00008113077,0.00018378971,0.00008013871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000918247,0.0006501033,0.0005696179,0.0009479397,0.00040138938,0.0006840781,0.0012265963,0.0011352423,0.0043635066],"category_scores_gemma":[0.0064023985,0.0003623214,0.00035278907,0.0009901904,0.0010995279,0.0011816673,0.0014359991,0.0006099319,0.00025076946],"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":[0.00015122074,0.000024904886,0.0008050183,0.00016202233,0.0000147731025,0.000052286465,0.00008979223,0.9248376,0.002522855,0.03979398,0.0020601018,0.029485455],"study_design_scores_gemma":[0.000005512333,0.000019119354,0.00011249668,0.000008243029,0.0000030558456,0.000015465648,0.000026221913,0.99371207,0.0002721837,0.0054836995,0.00033787798,0.000004097285],"about_ca_topic_score_codex":0.0065927757,"about_ca_topic_score_gemma":0.005084225,"teacher_disagreement_score":0.0065927757,"about_ca_system_score_codex":0.001431916,"about_ca_system_score_gemma":0.0007376668,"threshold_uncertainty_score":0.014597356},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01571537,0.0025626982,0.9804617,0.00019115701,0.00014122766,0.000014957518,0.000035458863,0.00019312075,0.00068428874],"genre_scores_gemma":[0.84841514,0.005875034,0.13768344,0.000115091985,0.0005799039,0.00007873624,0.00023253476,0.000067847766,0.0069522737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982906,0.00065682206,0.000115763076,0.0002604545,0.00054835697,0.00012794268],"domain_scores_gemma":[0.9964766,0.0022125153,0.00035115497,0.00028583212,0.00061816187,0.000055689536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017700671,0.00066140114,0.0009057689,0.0011504797,0.0004679352,0.0010295601,0.00093298167,0.0010011328,0.00063364126],"category_scores_gemma":[0.01033118,0.0004790417,0.00031815452,0.0019464717,0.0008641227,0.0022070264,0.0011360326,0.0007883008,0.0003113796],"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":[0.00018315008,0.0000632189,0.003386371,0.00017952424,0.00009409094,0.00014964248,0.00012023401,0.78688544,0.0035493956,0.010105836,0.0017315653,0.19355145],"study_design_scores_gemma":[0.0000090833355,0.00004458605,0.00083795324,0.000023029905,0.000026248783,0.00011245561,0.00005167832,0.98926324,0.0022391647,0.0060757655,0.0013017465,0.00001501301],"about_ca_topic_score_codex":0.005140489,"about_ca_topic_score_gemma":0.0026724709,"teacher_disagreement_score":0.005140489,"about_ca_system_score_codex":0.00045528245,"about_ca_system_score_gemma":0.00061481964,"threshold_uncertainty_score":0.010221124},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008893487,0.0011776148,0.98802304,0.00017403494,0.00008420557,0.00005149568,0.000009229163,0.000172606,0.0014142621],"genre_scores_gemma":[0.73778707,0.0016296846,0.25598153,0.0002729014,0.0003640107,0.00023199305,0.000035729612,0.00012858277,0.003568443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966377,0.0015500194,0.00017286069,0.00034790163,0.0009969936,0.00029446627],"domain_scores_gemma":[0.99326974,0.0041142288,0.00041911117,0.0005487263,0.0015205577,0.00012755705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050448566,0.0010685332,0.0010708516,0.00096681184,0.00091644295,0.0023327954,0.0020821523,0.0008868762,0.0015485443],"category_scores_gemma":[0.012407052,0.0008123941,0.00037710997,0.00072329876,0.00085283525,0.0025443027,0.0012101209,0.0014644043,0.00045406847],"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":[0.00040466557,0.00028866957,0.0016398812,0.00041068761,0.00017523389,0.00019351226,0.0006436828,0.58135355,0.03455258,0.08180281,0.0026428737,0.29589176],"study_design_scores_gemma":[0.000018777775,0.00019432366,0.00019289971,0.000025419755,0.00005126804,0.00011910734,0.000036524627,0.9833422,0.0063895634,0.008062316,0.0015444749,0.00002315281],"about_ca_topic_score_codex":0.00094043114,"about_ca_topic_score_gemma":0.0016899736,"teacher_disagreement_score":0.0050448566,"about_ca_system_score_codex":0.001206673,"about_ca_system_score_gemma":0.0009676781,"threshold_uncertainty_score":0.026680112},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021815334,0.00041267477,0.9756762,0.00024449668,0.000051575393,0.00005170082,0.00004482845,0.0000972039,0.0016061383],"genre_scores_gemma":[0.85425776,0.0005499023,0.1401166,0.00021234353,0.00011785168,0.00041327364,0.00013811306,0.00013945712,0.0040546944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878293,0.0005543433,0.000054325978,0.00016857119,0.0002793976,0.00016039144],"domain_scores_gemma":[0.9973761,0.0019189159,0.0002153849,0.00011562019,0.00031406176,0.000059889568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033460204,0.001673146,0.0016687394,0.00078403065,0.00053150486,0.0012144719,0.0018336034,0.0015655957,0.002144246],"category_scores_gemma":[0.007079089,0.0009005235,0.00073092745,0.001346926,0.001143436,0.0019618548,0.0019400886,0.0012443562,0.00027340112],"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":[0.000054454184,0.000038838607,0.000112406604,0.000043795244,0.000034648692,0.000027942617,0.000038605813,0.98455447,0.0007775541,0.006507221,0.0004993441,0.0073106717],"study_design_scores_gemma":[0.000007371069,0.000022534121,0.00003167406,0.000002596833,0.000005953185,0.00000467714,0.0000050259755,0.99782,0.00016110731,0.0018804796,0.00005559013,0.0000030271497],"about_ca_topic_score_codex":0.0037566768,"about_ca_topic_score_gemma":0.0030074138,"teacher_disagreement_score":0.0037566768,"about_ca_system_score_codex":0.0011034291,"about_ca_system_score_gemma":0.0014220509,"threshold_uncertainty_score":0.017695665},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012901941,0.0053304527,0.9744658,0.00043349102,0.00045866106,0.00004990001,0.0000936183,0.00036025723,0.0059059197],"genre_scores_gemma":[0.39996547,0.007998226,0.5739703,0.00026134303,0.00049054495,0.00019341607,0.000479413,0.00017215568,0.016469069],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984535,0.0006578142,0.00010432424,0.00022859381,0.00046632596,0.00008942826],"domain_scores_gemma":[0.99800915,0.00094932853,0.00024082094,0.00034229126,0.00037206264,0.00008640104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014795201,0.0004502499,0.00082663406,0.00081961456,0.00077703426,0.0016339475,0.001268446,0.00096699654,0.0014486919],"category_scores_gemma":[0.004352012,0.00035244887,0.00023726941,0.0021099036,0.0010385603,0.002972434,0.0010697983,0.00075672916,0.0007270901],"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":[0.00032542204,0.00006096158,0.0011963431,0.00045152035,0.000058976384,0.00013041156,0.00021815803,0.2832121,0.0046578143,0.34378612,0.012231609,0.35367063],"study_design_scores_gemma":[0.000043916498,0.00020212938,0.000830883,0.0000660863,0.0000305472,0.00067679404,0.00017615402,0.6938896,0.003930625,0.24805544,0.05205038,0.00004742125],"about_ca_topic_score_codex":0.0009707355,"about_ca_topic_score_gemma":0.0014035567,"teacher_disagreement_score":0.0016339475,"about_ca_system_score_codex":0.00080001267,"about_ca_system_score_gemma":0.00089720427,"threshold_uncertainty_score":0.00782454},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25536382,0.015112549,0.67109936,0.005345283,0.0012435535,0.0001801375,0.0004989705,0.0005770649,0.050579198],"genre_scores_gemma":[0.9689859,0.004448177,0.021725032,0.00034986783,0.00044627933,0.000047874764,0.00012256208,0.00022160873,0.0036527785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959727,0.0025239857,0.000085620246,0.00021868027,0.0007229313,0.00047610447],"domain_scores_gemma":[0.9424471,0.053198226,0.0010372805,0.0011585018,0.0017638059,0.00039510577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004827627,0.0012288339,0.0012698548,0.0011876583,0.0013713548,0.0021500334,0.0018567462,0.0012714984,0.0035001491],"category_scores_gemma":[0.040269524,0.00080467795,0.0006982201,0.0017651806,0.0020218426,0.005967905,0.0019421948,0.0019965246,0.00038900654],"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":[0.00035233813,0.00016123848,0.0009920376,0.0001186068,0.000049170412,0.00011339709,0.00008087263,0.95091546,0.0008460673,0.022554986,0.0023612278,0.021454634],"study_design_scores_gemma":[0.000014683788,0.00006469481,0.00020909526,0.000022722079,0.000038730555,0.000048788348,0.00006372637,0.98783666,0.0004313176,0.010823735,0.0004335022,0.0000123742975],"about_ca_topic_score_codex":0.007636476,"about_ca_topic_score_gemma":0.009762105,"teacher_disagreement_score":0.007636476,"about_ca_system_score_codex":0.0022557524,"about_ca_system_score_gemma":0.001010232,"threshold_uncertainty_score":0.025531292},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009183936,0.0025406047,0.9769637,0.00035606365,0.00065770466,0.00030125128,0.00027744388,0.004508348,0.0052110283],"genre_scores_gemma":[0.5120458,0.003346406,0.45420715,0.0007203479,0.0007992353,0.0010394496,0.001119433,0.00036441232,0.026357742],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990221,0.00029107,0.00007195726,0.0001648982,0.00030218845,0.00014778461],"domain_scores_gemma":[0.9981427,0.0005098453,0.00014365467,0.00041841317,0.00068036484,0.00010508157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015718641,0.0009073547,0.0010428398,0.0012427109,0.0010123488,0.0013479841,0.001748107,0.0012443081,0.0064763725],"category_scores_gemma":[0.0033371574,0.00023937305,0.00041616074,0.0012695845,0.0007397837,0.0018113513,0.0013315991,0.0016818743,0.0022839971],"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":[0.0022978773,0.00026278818,0.00067167485,0.001106416,0.00017273347,0.0008722736,0.0006231183,0.038174685,0.07973694,0.08904299,0.033480998,0.7535575],"study_design_scores_gemma":[0.00044050356,0.0015487275,0.0011033809,0.00019916345,0.00034176745,0.001503721,0.00024687385,0.71656746,0.07000669,0.059565853,0.14824781,0.00022802234],"about_ca_topic_score_codex":0.001764742,"about_ca_topic_score_gemma":0.001454488,"teacher_disagreement_score":0.0064763725,"about_ca_system_score_codex":0.0005961367,"about_ca_system_score_gemma":0.001211288,"threshold_uncertainty_score":0.021665633},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048338104,0.0011121549,0.9434594,0.001284039,0.00017417665,0.00014748047,0.00014440274,0.00065057224,0.0046896427],"genre_scores_gemma":[0.889509,0.00060109084,0.10382423,0.00015166306,0.00013271603,0.00020426176,0.00025746992,0.000052993062,0.0052665384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939208,0.0028671126,0.00030286846,0.000496757,0.0017985095,0.00061400386],"domain_scores_gemma":[0.9888094,0.006949801,0.00090705964,0.0023395494,0.00079135486,0.00020295936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038760996,0.00065157213,0.0017563283,0.0008594475,0.0016924993,0.0025014265,0.002364741,0.0016642854,0.002431121],"category_scores_gemma":[0.01366182,0.00062080706,0.00050583226,0.001783871,0.0021291727,0.0068194605,0.004586543,0.0019705044,0.000623459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011651652,0.00027835518,0.00096713344,0.00028127115,0.00008487597,0.00027512287,0.00028380397,0.6450162,0.007872546,0.2104857,0.0075309803,0.12575881],"study_design_scores_gemma":[0.00003250658,0.000050548,0.00016089555,0.000009962806,0.000015666912,0.00008148613,0.00005129629,0.939461,0.0018785105,0.0567381,0.0015045018,0.000015561305],"about_ca_topic_score_codex":0.0019949991,"about_ca_topic_score_gemma":0.0027938983,"teacher_disagreement_score":0.0038760996,"about_ca_system_score_codex":0.001447546,"about_ca_system_score_gemma":0.0026207503,"threshold_uncertainty_score":0.02049905},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028999032,0.0007291242,0.95423746,0.00023222456,0.00037066563,0.00024124837,0.00025521472,0.0064057894,0.008529164],"genre_scores_gemma":[0.26417258,0.0006180124,0.71576583,0.00022768039,0.000102773236,0.0003944628,0.0007107549,0.0006585176,0.017349381],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.000045684854,0.000008373545,0.000021709753,0.000096034884,0.000016809516],"domain_scores_gemma":[0.99979085,0.00007935574,0.000016176895,0.000022827267,0.000073382194,0.000017300345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029194984,0.00043554918,0.00051716674,0.0004968949,0.00040488655,0.00044301173,0.00097493693,0.00053173845,0.0030328585],"category_scores_gemma":[0.0007464255,0.00022794656,0.00020879449,0.00046636257,0.0001942,0.00067731785,0.00059029646,0.00048811064,0.00067206647],"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":[0.0003532565,0.00021798056,0.0012089151,0.0002701281,0.00014959798,0.00016045083,0.000099764984,0.4518947,0.014453753,0.012273741,0.019081892,0.4998358],"study_design_scores_gemma":[0.00007064912,0.00011916258,0.00022334082,0.000009765122,0.000029121118,0.00007463244,0.000018144696,0.9806724,0.004128499,0.00291149,0.011726694,0.000016233096],"about_ca_topic_score_codex":0.0015948517,"about_ca_topic_score_gemma":0.003261113,"teacher_disagreement_score":0.0030328585,"about_ca_system_score_codex":0.00023884802,"about_ca_system_score_gemma":0.00052223454,"threshold_uncertainty_score":0.010145962},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017496087,0.00036342366,0.9796504,0.00013406905,0.00019308778,0.000027400614,0.00008260124,0.0004403075,0.001612699],"genre_scores_gemma":[0.76866674,0.0007308571,0.22263058,0.00018293413,0.00027640228,0.00015602096,0.00046629747,0.00021799427,0.006672212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987355,0.0003866959,0.00007852512,0.00029999614,0.0003715493,0.00012771679],"domain_scores_gemma":[0.9978282,0.000998343,0.00025914217,0.00041403808,0.00043150032,0.000068712674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014719113,0.0009865715,0.0014045321,0.001050736,0.0007873834,0.0015472089,0.0011810046,0.001165283,0.0014690972],"category_scores_gemma":[0.009132867,0.00057996594,0.00075033365,0.0023440844,0.0009489521,0.0019774062,0.0019739415,0.0009286211,0.00096797175],"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":[0.0007364249,0.00010444143,0.0020326013,0.00017508188,0.00020638877,0.00022288127,0.00033632602,0.7222894,0.020002522,0.036399197,0.0033638603,0.21413097],"study_design_scores_gemma":[0.000028685978,0.0000498912,0.0003475593,0.000008033998,0.000028712553,0.00010121316,0.000026374995,0.9885274,0.003277493,0.0066497214,0.0009376577,0.000017203209],"about_ca_topic_score_codex":0.0032132466,"about_ca_topic_score_gemma":0.003874892,"teacher_disagreement_score":0.0032132466,"about_ca_system_score_codex":0.00061677437,"about_ca_system_score_gemma":0.00149257,"threshold_uncertainty_score":0.007784307},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00852577,0.0026883218,0.97780114,0.0013033368,0.00028931332,0.00009929348,0.000067984365,0.00030388933,0.00892087],"genre_scores_gemma":[0.53285855,0.010548543,0.4419339,0.00037857099,0.00097280403,0.00026322532,0.0001865545,0.00014275462,0.012715053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981906,0.00057976006,0.00013664349,0.00020518916,0.00074593606,0.00014191869],"domain_scores_gemma":[0.9971908,0.0013095029,0.00013714732,0.00070928846,0.00049580104,0.00015750101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019461439,0.00055635686,0.0008985324,0.0013483396,0.0017230781,0.002865805,0.0017372038,0.0015939979,0.0025667627],"category_scores_gemma":[0.0060563935,0.0004523137,0.00059013866,0.0020760905,0.0021922614,0.0073319036,0.0030493857,0.0021668947,0.0006068514],"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":[0.000121725396,0.00006928221,0.000544716,0.00032767677,0.00006732259,0.00031269254,0.0005248972,0.04994624,0.005917652,0.8159658,0.0058521708,0.12034992],"study_design_scores_gemma":[0.000040728894,0.00015316605,0.00029525644,0.00009207679,0.00011061193,0.00057081593,0.0003689289,0.31103507,0.0050948253,0.62312156,0.05907262,0.000044341774],"about_ca_topic_score_codex":0.001261935,"about_ca_topic_score_gemma":0.0013389533,"teacher_disagreement_score":0.002865805,"about_ca_system_score_codex":0.0011352191,"about_ca_system_score_gemma":0.0011093069,"threshold_uncertainty_score":0.010292351},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009963579,0.0004968767,0.9860671,0.0002824729,0.00006421883,0.000110315515,0.00002661227,0.00034889,0.002639909],"genre_scores_gemma":[0.40264466,0.0013565678,0.5916352,0.00065500214,0.00039376927,0.0005620402,0.00021080005,0.0003028402,0.0022390713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99083835,0.0031933307,0.00067116495,0.0010710241,0.0030882065,0.0011380119],"domain_scores_gemma":[0.982051,0.010413445,0.001196133,0.004496549,0.0014956155,0.00034728847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066011907,0.0017900792,0.0015376147,0.001718771,0.0010214307,0.0041254745,0.003077685,0.0016655037,0.0018709414],"category_scores_gemma":[0.017350176,0.0012901274,0.0018353699,0.0016245509,0.0030068464,0.01048685,0.004687205,0.0047188574,0.0005609147],"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":[0.0004642063,0.0001685675,0.0012843527,0.00044864413,0.0001623393,0.00012318627,0.00053553074,0.45503795,0.012952094,0.424088,0.0031239449,0.101611175],"study_design_scores_gemma":[0.000054089152,0.00011737645,0.00014862104,0.00003992154,0.00006842728,0.000057134217,0.00005943291,0.87181544,0.0041307015,0.11968861,0.0037884288,0.00003183858],"about_ca_topic_score_codex":0.0016987644,"about_ca_topic_score_gemma":0.0013266028,"teacher_disagreement_score":0.0066011907,"about_ca_system_score_codex":0.0028895757,"about_ca_system_score_gemma":0.002821593,"threshold_uncertainty_score":0.034910798},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00803446,0.00011084827,0.9907073,0.000049779977,0.000042215735,0.00006372369,0.000081852646,0.00034552917,0.0005642869],"genre_scores_gemma":[0.22800733,0.00023084205,0.768929,0.00006217481,0.00006111563,0.00022751496,0.00044729357,0.00012586612,0.0019088492],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877685,0.00024800433,0.000076856886,0.00018820073,0.00064681395,0.00006320315],"domain_scores_gemma":[0.9980196,0.0005300102,0.00014103661,0.00034701903,0.00090674666,0.00005574088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013429123,0.0006513582,0.0008417303,0.0026536274,0.0006511652,0.0008172741,0.0013729137,0.0006876031,0.00094873563],"category_scores_gemma":[0.003013045,0.0004353549,0.0008692063,0.0030833988,0.00062309013,0.0015602785,0.0011512887,0.00073779095,0.00047705285],"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":[0.0003235585,0.00025239514,0.0030878892,0.0005129543,0.00031549184,0.00016309187,0.00041948617,0.1744443,0.10818395,0.023835897,0.0035362854,0.6849248],"study_design_scores_gemma":[0.00003533801,0.00021030221,0.002259233,0.000032956992,0.000102676546,0.00030665513,0.00027260405,0.95092523,0.028575376,0.012533623,0.00464266,0.00010333501],"about_ca_topic_score_codex":0.0021026465,"about_ca_topic_score_gemma":0.0032546485,"teacher_disagreement_score":0.0026536274,"about_ca_system_score_codex":0.0005850323,"about_ca_system_score_gemma":0.00071473914,"threshold_uncertainty_score":0.0071020722},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1782553,0.0015963973,0.81457275,0.0005431895,0.0001662045,0.00008941621,0.00005257947,0.00054148375,0.00418274],"genre_scores_gemma":[0.92937154,0.00040119005,0.06800649,0.00008653957,0.000117719515,0.00007225495,0.00005406818,0.000034286244,0.0018558148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902344,0.00043943652,0.000047323236,0.000108023254,0.00025231228,0.00012947187],"domain_scores_gemma":[0.9966192,0.00228978,0.0002059027,0.00041885505,0.0003266361,0.00013966502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026731216,0.000379091,0.0009124229,0.0008367893,0.0009646532,0.00092792016,0.0013287744,0.0011125798,0.0008935401],"category_scores_gemma":[0.0047221393,0.00055774,0.00040255315,0.00088862295,0.0008302116,0.0020495553,0.0019372313,0.0007188894,0.00018555913],"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":[0.0013702775,0.00042512763,0.004600186,0.00031778248,0.00017663835,0.00093652494,0.0012250881,0.6235994,0.031369343,0.1362982,0.0051511084,0.19453035],"study_design_scores_gemma":[0.00006261561,0.00017012931,0.0003594363,0.000014071641,0.000049286067,0.00015461862,0.00012301421,0.9601433,0.0031604692,0.034195334,0.0015514637,0.000016290294],"about_ca_topic_score_codex":0.0007192392,"about_ca_topic_score_gemma":0.0010721969,"teacher_disagreement_score":0.0026731216,"about_ca_system_score_codex":0.00056765025,"about_ca_system_score_gemma":0.00040211153,"threshold_uncertainty_score":0.01413697},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014361805,0.0002636768,0.98197055,0.00017272454,0.00013910451,0.00034284496,0.000036423073,0.00124907,0.0014638203],"genre_scores_gemma":[0.63679147,0.0004733396,0.35484457,0.00019331573,0.00017755374,0.0007549723,0.00025256566,0.00013144949,0.006380734],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988971,0.0002492611,0.00013725628,0.00015406712,0.0004034498,0.00015885667],"domain_scores_gemma":[0.99856454,0.00027569302,0.00021777062,0.00033746992,0.00051007443,0.00009452847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015197592,0.0006771284,0.00071293506,0.000746931,0.0011003882,0.0015321573,0.0017380831,0.00092590216,0.0022122755],"category_scores_gemma":[0.0022627176,0.0005718395,0.00053795765,0.00046961103,0.0005289322,0.0018033013,0.0016656949,0.0009891085,0.0014472309],"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":[0.0011560951,0.00037566715,0.0026104588,0.0008848734,0.00026052605,0.0007781433,0.00058081077,0.08390682,0.31861332,0.1460068,0.010041025,0.43478554],"study_design_scores_gemma":[0.00023682383,0.0010927828,0.0008834354,0.00008356747,0.00024838696,0.0009588722,0.00016269913,0.802962,0.13007551,0.025913142,0.03726338,0.00011950048],"about_ca_topic_score_codex":0.00059674354,"about_ca_topic_score_gemma":0.00071895483,"teacher_disagreement_score":0.0022122755,"about_ca_system_score_codex":0.0008389138,"about_ca_system_score_gemma":0.0016348041,"threshold_uncertainty_score":0.008037329},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.162841,0.008195421,0.8206594,0.0012877169,0.00031957752,0.000069426154,0.00015549808,0.00064611406,0.0058258367],"genre_scores_gemma":[0.95348215,0.00226273,0.04050694,0.000106974905,0.0002911931,0.00005939798,0.00017355828,0.00009325411,0.0030237753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944156,0.00013418155,0.00003631943,0.00013460567,0.00019340671,0.00005996748],"domain_scores_gemma":[0.99751735,0.0012842107,0.0003990651,0.00042300965,0.00027011806,0.00010619467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073504867,0.0004953631,0.0005701937,0.0010591601,0.0007302497,0.0011156949,0.0015470292,0.0010440636,0.0011519898],"category_scores_gemma":[0.004778076,0.0003783451,0.00029814683,0.0016766016,0.0013821569,0.0030785147,0.0010609844,0.00064842304,0.00018829084],"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":[0.00072675216,0.00022213717,0.003977728,0.0005739769,0.000118092896,0.00048142188,0.00064729416,0.4544741,0.037762716,0.061076283,0.005958841,0.43398064],"study_design_scores_gemma":[0.000059870963,0.0002794552,0.0018561165,0.00003528747,0.000118659984,0.00065107463,0.00017544841,0.91310275,0.015057438,0.063511595,0.0051266034,0.000025739453],"about_ca_topic_score_codex":0.0012591052,"about_ca_topic_score_gemma":0.0011680357,"teacher_disagreement_score":0.0015470292,"about_ca_system_score_codex":0.00057136227,"about_ca_system_score_gemma":0.00036630328,"threshold_uncertainty_score":0.004145503},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043309256,0.0012795514,0.9533432,0.0002797537,0.0001989336,0.00011726923,0.00002428852,0.00023071353,0.0012168873],"genre_scores_gemma":[0.6544618,0.0011532903,0.3395499,0.00008599792,0.00020057529,0.00023743021,0.00007003079,0.000061287625,0.00417974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846625,0.00065962767,0.00010405143,0.00034068053,0.00031388045,0.00011561947],"domain_scores_gemma":[0.99786013,0.00090412685,0.00040212032,0.00030003893,0.0003421021,0.00019154517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022433696,0.0011978779,0.0018150312,0.0012758335,0.0019905174,0.0014650653,0.0022468732,0.0017928334,0.0007556591],"category_scores_gemma":[0.0055257417,0.0016620402,0.0006119696,0.0018274827,0.0012093126,0.0022327916,0.002179408,0.00078076764,0.0004585915],"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":[0.0006294079,0.00015881674,0.0028061857,0.00025052953,0.00012961206,0.0005614269,0.00029649673,0.84683055,0.021298386,0.0149875125,0.001285391,0.110765696],"study_design_scores_gemma":[0.000045266097,0.00030922584,0.00042263826,0.000020292535,0.000048251954,0.00017544242,0.0001525435,0.9816917,0.008102803,0.0069095963,0.0020969333,0.000025389363],"about_ca_topic_score_codex":0.0013061564,"about_ca_topic_score_gemma":0.0020830263,"teacher_disagreement_score":0.0022468732,"about_ca_system_score_codex":0.0009195392,"about_ca_system_score_gemma":0.0009033994,"threshold_uncertainty_score":0.011864245},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97512686,0.001110276,0.014584599,0.00021196315,0.00015100579,0.00004455744,0.00023094182,0.00172025,0.0068194503],"genre_scores_gemma":[0.9982857,0.00010194886,0.00052071793,0.000034748566,0.00003070571,0.000010049437,0.00009943309,0.00006827012,0.0008483655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975865,0.0005160838,0.000099297424,0.00026585258,0.0008543756,0.0006779563],"domain_scores_gemma":[0.99049103,0.0063328813,0.00044183806,0.00033297707,0.0016483271,0.0007529248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018504305,0.0013122357,0.0011603334,0.0016117356,0.0008589154,0.0017508126,0.0012793782,0.001243326,0.0039152624],"category_scores_gemma":[0.007995957,0.00041850816,0.00034188238,0.0012286631,0.0007616683,0.0012422068,0.0014191584,0.0008339961,0.00074745505],"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":[0.039427407,0.002263107,0.051900454,0.0014100405,0.0008999666,0.0025001385,0.002592889,0.4265687,0.17135654,0.0065722545,0.013979842,0.28052863],"study_design_scores_gemma":[0.0006556407,0.009558198,0.035454486,0.00012666805,0.0008241555,0.0024509202,0.001259616,0.7899579,0.15364328,0.0028096535,0.003009956,0.00024956447],"about_ca_topic_score_codex":0.0018637124,"about_ca_topic_score_gemma":0.0018936916,"teacher_disagreement_score":0.0039152624,"about_ca_system_score_codex":0.00086819107,"about_ca_system_score_gemma":0.00063616363,"threshold_uncertainty_score":0.013097823},"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005233763,0.001913209,0.00017964325,0.013554845,0.98362166,0.000015331543,0.000036174646,0.000045603043,0.0005810763],"genre_scores_gemma":[0.00036716193,0.0023102383,0.00012638055,0.00799229,0.98581046,0.000013587617,0.000033959375,0.00003225666,0.0033137042],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99620783,0.0004549643,0.0006176478,0.0006993749,0.0016908321,0.00032924695],"domain_scores_gemma":[0.9673972,0.009263456,0.0021388766,0.0008183875,0.015932996,0.004449044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005002695,0.0042229225,0.0050503667,0.0037124522,0.0024007235,0.007186745,0.0039404985,0.01259209,0.013965282],"category_scores_gemma":[0.016958062,0.001465447,0.003433121,0.0017802337,0.0021306034,0.004530851,0.0010282241,0.019071886,0.011572152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008446391,0.00003488229,0.00007643927,0.00026369546,0.000033699853,0.0001342644,0.000008364311,0.000055135322,0.00017114017,0.00025031512,0.99158365,0.007304],"study_design_scores_gemma":[0.000141804,0.00015370939,0.0010476379,0.00042491412,0.0001389979,0.0006278012,0.000051825864,0.00057851255,0.00045176968,0.0014270196,0.9949092,0.00004676913],"about_ca_topic_score_codex":0.0007856835,"about_ca_topic_score_gemma":0.0020009314,"teacher_disagreement_score":0.013965282,"about_ca_system_score_codex":0.0017757228,"about_ca_system_score_gemma":0.0016698677,"threshold_uncertainty_score":0.046718538},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12655003,0.00041876957,0.8511503,0.0018020505,0.00014065356,0.00023970948,0.00020798808,0.0001210154,0.019369407],"genre_scores_gemma":[0.9683311,0.00031274624,0.019146308,0.00015796002,0.00009289693,0.0002228439,0.000059607537,0.000023462857,0.011653124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961204,0.002122722,0.000113774164,0.00041284197,0.0007804814,0.00044968355],"domain_scores_gemma":[0.9906555,0.007391828,0.0006410893,0.0002489151,0.0005882391,0.00047437492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042153117,0.001431096,0.0018910663,0.00089801423,0.0008282172,0.0026091596,0.0023192137,0.0023120178,0.0024204913],"category_scores_gemma":[0.009921774,0.0007907087,0.0006580587,0.0012335529,0.0030642224,0.0035022602,0.0018048398,0.0017101942,0.00027509205],"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":[0.00049168523,0.00016967994,0.0007548832,0.00012797005,0.00008982633,0.0006100991,0.00027578848,0.7134395,0.0025008253,0.27101892,0.0016432705,0.008877525],"study_design_scores_gemma":[0.00008588014,0.00009148419,0.00013952027,0.000006566207,0.000020102158,0.00007073342,0.00004053775,0.94492877,0.00027223973,0.053919636,0.00040230743,0.000022138309],"about_ca_topic_score_codex":0.0034094898,"about_ca_topic_score_gemma":0.0024783846,"teacher_disagreement_score":0.0042153117,"about_ca_system_score_codex":0.0021377373,"about_ca_system_score_gemma":0.0018585366,"threshold_uncertainty_score":0.022292972},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97925305,0.0033534423,0.009013204,0.00048586665,0.00024327726,0.000047311056,0.0003098156,0.0006009593,0.0066930447],"genre_scores_gemma":[0.9977204,0.00045487753,0.0009644728,0.000054496795,0.00006562156,0.000009992146,0.0001328019,0.000072758536,0.0005245294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978861,0.00059727614,0.00015698979,0.0002274159,0.0007623921,0.0003697781],"domain_scores_gemma":[0.977458,0.016707277,0.0014424793,0.0012982865,0.0027608366,0.00033315623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026824153,0.0008979218,0.0005685943,0.0008425428,0.0005816047,0.001168349,0.00054470525,0.0008772931,0.0016717233],"category_scores_gemma":[0.023366315,0.00044071107,0.00015820825,0.0008632414,0.00069415226,0.0022089554,0.00050880405,0.0009555789,0.0004913524],"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":[0.011055403,0.0015235533,0.04724434,0.00093830057,0.0004636173,0.001640696,0.0008092622,0.43581596,0.2649434,0.0047310526,0.0070744148,0.2237601],"study_design_scores_gemma":[0.00031494218,0.0072684293,0.08229026,0.00020049665,0.0009591321,0.0036515906,0.00089124625,0.71280164,0.17929359,0.005575665,0.006466642,0.00028635556],"about_ca_topic_score_codex":0.0016019043,"about_ca_topic_score_gemma":0.0020133732,"teacher_disagreement_score":0.0026824153,"about_ca_system_score_codex":0.00085251953,"about_ca_system_score_gemma":0.00042014944,"threshold_uncertainty_score":0.014186144},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037731281,0.00032344667,0.9917846,0.00012880306,0.000098859826,0.00007203958,0.00006297063,0.0032701695,0.0004859345],"genre_scores_gemma":[0.32184455,0.00084944814,0.67146313,0.00021158818,0.00027502113,0.00036805368,0.0003998175,0.0005007855,0.004087573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986255,0.00024724792,0.00015358944,0.00020991787,0.0006506585,0.00011303374],"domain_scores_gemma":[0.9978005,0.0008338771,0.00026013012,0.00042621177,0.00052118214,0.00015803242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035038267,0.001085435,0.001268467,0.00090318045,0.00082805357,0.0020081487,0.004000447,0.0010868483,0.0019425693],"category_scores_gemma":[0.004786278,0.0007762519,0.0008904707,0.0006882154,0.00063212274,0.0025892698,0.0020437175,0.0019877062,0.00058380933],"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":[0.0011005431,0.00044432518,0.0016700989,0.00056242687,0.0003355739,0.00073108455,0.0006048968,0.44342127,0.05583452,0.07581076,0.01755504,0.40192953],"study_design_scores_gemma":[0.00005038414,0.00008785432,0.0001234869,0.000014611671,0.000071191535,0.00009899757,0.000025607866,0.975621,0.008970563,0.0078092404,0.0070867273,0.000040342155],"about_ca_topic_score_codex":0.003264486,"about_ca_topic_score_gemma":0.0036991355,"teacher_disagreement_score":0.004000447,"about_ca_system_score_codex":0.00064313435,"about_ca_system_score_gemma":0.0014584757,"threshold_uncertainty_score":0.01853025},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008617386,0.03172219,0.863886,0.004183194,0.004938232,0.0010812408,0.001025766,0.006495728,0.07805022],"genre_scores_gemma":[0.14442363,0.048193652,0.63583744,0.0021950607,0.004000258,0.0023558156,0.0053176126,0.0010743958,0.15660225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993407,0.00015557202,0.00006608804,0.00007369321,0.00030504144,0.00005876002],"domain_scores_gemma":[0.99906474,0.00013754613,0.00006563345,0.00023797,0.00042835827,0.0000657165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009225831,0.00078845443,0.0007571904,0.001168739,0.00085875945,0.0021344065,0.0017204114,0.0015355984,0.0061955205],"category_scores_gemma":[0.001992086,0.0004901203,0.0002970593,0.0017390868,0.00073226116,0.0023869323,0.0010897461,0.00273102,0.0055911336],"study_design_candidate":"not_applicable","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":[0.00016796075,0.00022291925,0.00057225046,0.0009019787,0.00006771146,0.00030961167,0.00028340204,0.017544307,0.027598139,0.18051256,0.12341421,0.6484049],"study_design_scores_gemma":[0.00004833901,0.00019921,0.00097045815,0.0003295911,0.00010235712,0.0007067715,0.00013156922,0.08581325,0.013912372,0.08694465,0.81076866,0.00007289749],"about_ca_topic_score_codex":0.0016489413,"about_ca_topic_score_gemma":0.0023581076,"teacher_disagreement_score":0.0061955205,"about_ca_system_score_codex":0.000789539,"about_ca_system_score_gemma":0.0012627196,"threshold_uncertainty_score":0.020726085},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035878315,0.0018122996,0.97368795,0.0012251482,0.00044854396,0.00012932673,0.00007662004,0.00008246976,0.018949859],"genre_scores_gemma":[0.47092617,0.007837112,0.49086168,0.0011956261,0.0010761677,0.0008042333,0.00022946083,0.00012770579,0.02694189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791676,0.0010668233,0.000083284554,0.00018379542,0.00060044654,0.00014891873],"domain_scores_gemma":[0.99883264,0.0007852714,0.00006029555,0.00008156463,0.00017162653,0.00006870514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015969428,0.0012339549,0.0013155438,0.0011965215,0.0010771474,0.0029353956,0.0026439817,0.0020645228,0.0029318335],"category_scores_gemma":[0.0035176186,0.00048067528,0.0008816398,0.0017446363,0.002454237,0.0040769046,0.0014658894,0.0035737352,0.0006824287],"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":[0.000023258159,0.000043700893,0.00008028661,0.00013547599,0.00003247742,0.00008743117,0.0001430284,0.06251238,0.0008905091,0.92039776,0.0025857093,0.0130679775],"study_design_scores_gemma":[0.000019616475,0.00005080204,0.000054613247,0.000039803854,0.000029016994,0.00009855118,0.00006886519,0.2828729,0.00034762328,0.70680064,0.009597218,0.00002042543],"about_ca_topic_score_codex":0.0022396734,"about_ca_topic_score_gemma":0.0016809761,"teacher_disagreement_score":0.0029353956,"about_ca_system_score_codex":0.001801431,"about_ca_system_score_gemma":0.001533044,"threshold_uncertainty_score":0.013070345},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89262,0.011848818,0.05932183,0.0049489737,0.0009940222,0.000076540826,0.00058713264,0.00044730472,0.029155264],"genre_scores_gemma":[0.9974673,0.0009398671,0.00067998865,0.00004800344,0.000055664837,0.0000065308177,0.0000664699,0.000016314056,0.00071984634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987942,0.00040479234,0.00004264078,0.00012334906,0.00038715775,0.0002478547],"domain_scores_gemma":[0.9948147,0.0034867115,0.00040463306,0.00028644333,0.00085624953,0.00015122397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012839724,0.00062252977,0.000497737,0.0009217572,0.0009549228,0.0010812887,0.0007733732,0.0009030544,0.0015501598],"category_scores_gemma":[0.009615581,0.00032271454,0.000241153,0.0014323763,0.0010251631,0.003027393,0.0013806289,0.0007776372,0.00024190742],"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":[0.00093887997,0.00017347602,0.028947653,0.00034426205,0.0001465514,0.00148307,0.0006186882,0.796677,0.011676818,0.041491177,0.009406899,0.108095445],"study_design_scores_gemma":[0.000047933543,0.00045579113,0.020936994,0.00013847205,0.00025791943,0.0014306894,0.0014543015,0.92840564,0.008551661,0.029514724,0.008706545,0.00009925517],"about_ca_topic_score_codex":0.007756421,"about_ca_topic_score_gemma":0.0062191086,"teacher_disagreement_score":0.007756421,"about_ca_system_score_codex":0.0016009277,"about_ca_system_score_gemma":0.00057379325,"threshold_uncertainty_score":0.015422523},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1774544,0.00026574134,0.77427846,0.0008827105,0.00025648338,0.00079921505,0.00032269044,0.007119452,0.038620844],"genre_scores_gemma":[0.8274604,0.00020012559,0.14716025,0.00015970704,0.00006427829,0.00043532127,0.00029513545,0.00018566012,0.024039138],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966145,0.00005744186,0.0000130088465,0.000059671267,0.00015538528,0.00005311384],"domain_scores_gemma":[0.9997023,0.00002582141,0.000018022105,0.000043547065,0.00015926939,0.000051110645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043705665,0.0005574665,0.0003500716,0.0003450505,0.0005960146,0.00063855696,0.0012148242,0.00075704436,0.005705399],"category_scores_gemma":[0.00028255107,0.00032293858,0.0002818827,0.00012510348,0.0003374548,0.00069245853,0.00063218595,0.0005832635,0.0016811843],"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":[0.0011568011,0.00053378515,0.005083117,0.0004417299,0.00016346549,0.0009313153,0.00064008357,0.057192974,0.71622527,0.03027883,0.011638239,0.1757144],"study_design_scores_gemma":[0.00037132253,0.0036581592,0.007167959,0.000074202624,0.00021472265,0.0014817043,0.0001757679,0.50391215,0.38546637,0.0042609405,0.09309352,0.00012317875],"about_ca_topic_score_codex":0.0022743694,"about_ca_topic_score_gemma":0.0025658975,"teacher_disagreement_score":0.005705399,"about_ca_system_score_codex":0.0005362309,"about_ca_system_score_gemma":0.00083708245,"threshold_uncertainty_score":0.01908642},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090225555,0.0014525228,0.88411826,0.0007139444,0.0004712696,0.000442288,0.00052764436,0.009950792,0.012097803],"genre_scores_gemma":[0.89164513,0.0008140821,0.09954001,0.00021276841,0.00012887163,0.00026205578,0.0009471026,0.0002916368,0.0061583496],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994198,0.00012745314,0.000025697884,0.000051418345,0.00029170283,0.0000839056],"domain_scores_gemma":[0.99930644,0.00025914024,0.00007533252,0.00015546347,0.00013973609,0.00006391908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006169622,0.0007131042,0.000817422,0.0012190163,0.00066280545,0.00073096645,0.0011787944,0.0005705187,0.0019557935],"category_scores_gemma":[0.0021262334,0.00031446133,0.00025697678,0.0010354178,0.0005729847,0.001405308,0.002631565,0.00060378504,0.0004728078],"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":[0.00085640233,0.00022359869,0.0019951707,0.00035227908,0.00023366374,0.00074890145,0.00047046822,0.40046477,0.032874204,0.025256842,0.033312082,0.5032116],"study_design_scores_gemma":[0.0000764807,0.00032602108,0.00060760695,0.00002184134,0.000044362565,0.00027582026,0.00014619899,0.97188574,0.008350713,0.0045745256,0.013657071,0.000033662345],"about_ca_topic_score_codex":0.0045494037,"about_ca_topic_score_gemma":0.007095868,"teacher_disagreement_score":0.0045494037,"about_ca_system_score_codex":0.00054729515,"about_ca_system_score_gemma":0.0007637408,"threshold_uncertainty_score":0.009045839},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08134965,0.006180093,0.90456456,0.0011515919,0.0003031184,0.00005376147,0.0002567415,0.0006929913,0.005447384],"genre_scores_gemma":[0.8994279,0.002107021,0.094879106,0.00010775515,0.00018105183,0.000036869656,0.0002885512,0.00009009558,0.0028815963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988937,0.00031355518,0.00007610684,0.0001461716,0.00050967984,0.000060820294],"domain_scores_gemma":[0.99573827,0.0020102304,0.00041679962,0.000694416,0.0010745185,0.00006586952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025074554,0.0006085827,0.000929434,0.0015087547,0.00044558014,0.0014476363,0.0012802015,0.0008754377,0.00077612174],"category_scores_gemma":[0.012781863,0.0003467906,0.00027460308,0.0020250634,0.0004703494,0.003117857,0.0012331348,0.0007792272,0.00032225918],"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":[0.00029614795,0.00009176448,0.008959164,0.00015740558,0.00010714163,0.00008295751,0.00009338003,0.72864836,0.0051591005,0.028662818,0.002836607,0.2249051],"study_design_scores_gemma":[0.000005891579,0.000056062334,0.0013377833,0.0000190462,0.000025075567,0.0000915922,0.000030999116,0.98476124,0.0032684596,0.009103058,0.0012897553,0.000011122505],"about_ca_topic_score_codex":0.0016106992,"about_ca_topic_score_gemma":0.0021477665,"teacher_disagreement_score":0.0025074554,"about_ca_system_score_codex":0.0010077731,"about_ca_system_score_gemma":0.00065598293,"threshold_uncertainty_score":0.013260841},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053216323,0.033760816,0.8166633,0.015817067,0.0033620598,0.00013288952,0.0004180464,0.001418524,0.07521101],"genre_scores_gemma":[0.8175852,0.016740823,0.10861219,0.00099439,0.0016730037,0.00010766525,0.00043533416,0.00011858604,0.05373288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999174,0.000026727685,0.000004277641,0.000013023996,0.000029606188,0.0000090405265],"domain_scores_gemma":[0.99983585,0.00007137956,0.000012612429,0.000021093843,0.000042302046,0.000016750955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036290183,0.00017777039,0.0001739089,0.00026005326,0.00023604307,0.0006009094,0.00046681915,0.00050411915,0.004088126],"category_scores_gemma":[0.0006140589,0.0000904586,0.000091672686,0.00035584666,0.00023151484,0.0014144906,0.00032680292,0.00048055072,0.00038911283],"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":[0.0003333467,0.00010542029,0.0012064874,0.0002729418,0.000040895946,0.00036774285,0.0001128126,0.082473345,0.013962242,0.20575158,0.056655377,0.63871783],"study_design_scores_gemma":[0.000038745373,0.00018399858,0.0010396331,0.000066290355,0.000041100997,0.00029730814,0.0001541097,0.6843654,0.005982424,0.14364998,0.1641536,0.000027486534],"about_ca_topic_score_codex":0.0011011563,"about_ca_topic_score_gemma":0.002745732,"teacher_disagreement_score":0.004088126,"about_ca_system_score_codex":0.00034597793,"about_ca_system_score_gemma":0.00032016487,"threshold_uncertainty_score":0.013676167},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0128052775,0.0033639965,0.9685942,0.0014828563,0.00019682545,0.00008417779,0.00019605734,0.00026597155,0.013010653],"genre_scores_gemma":[0.75273335,0.007966545,0.2221689,0.00078128866,0.0007562861,0.0011344366,0.0007636481,0.0008112093,0.012884375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994136,0.0026105992,0.00019963474,0.0004887792,0.001880466,0.00068437756],"domain_scores_gemma":[0.9570291,0.037159003,0.0010924096,0.0019944722,0.0023404988,0.00038460098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008275307,0.0032533323,0.0019708711,0.0023570454,0.001252548,0.004006697,0.0029069963,0.0025014314,0.004248866],"category_scores_gemma":[0.0530249,0.0013349944,0.0009444373,0.0035711094,0.003658122,0.007269045,0.0044784774,0.0055055735,0.0006927694],"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":[0.00014970734,0.00006641653,0.0003265932,0.00014917702,0.000048303613,0.000052901596,0.00016539657,0.7760793,0.0014881094,0.1762549,0.0033674773,0.04185173],"study_design_scores_gemma":[0.00001394075,0.00002730651,0.000098566714,0.000054277105,0.000015721103,0.000021493017,0.00003086685,0.8668522,0.00057570357,0.13117324,0.0011164355,0.000020156942],"about_ca_topic_score_codex":0.006846264,"about_ca_topic_score_gemma":0.0058122315,"teacher_disagreement_score":0.008275307,"about_ca_system_score_codex":0.004630351,"about_ca_system_score_gemma":0.003272528,"threshold_uncertainty_score":0.043764472},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08289739,0.07909123,0.70728976,0.01845503,0.0051990924,0.00017834587,0.00033489347,0.00032241901,0.10623181],"genre_scores_gemma":[0.86322385,0.060550455,0.044404548,0.00079494703,0.006800482,0.00018186576,0.00021111207,0.00017666633,0.02365603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991755,0.00035626575,0.00004103807,0.000075045245,0.00027691733,0.00007510603],"domain_scores_gemma":[0.9970118,0.001953786,0.00026227804,0.0001739194,0.00042466298,0.00017353351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009937751,0.0005464179,0.0007314487,0.0013132404,0.0011497671,0.0023697286,0.0011878648,0.0018140664,0.0025230558],"category_scores_gemma":[0.008140517,0.00062368484,0.00036322803,0.0017916928,0.0017889726,0.007068677,0.0012207441,0.0014508995,0.00074399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007735431,0.000041189505,0.0010279578,0.00031039256,0.00002442176,0.0011120854,0.00043914616,0.10031247,0.0028178256,0.84692097,0.005761657,0.041154526],"study_design_scores_gemma":[0.00003363238,0.00015053508,0.0010106327,0.00017767298,0.00006889462,0.0020098833,0.00055089314,0.20872615,0.0011393303,0.7234487,0.06262789,0.00005576128],"about_ca_topic_score_codex":0.0010901941,"about_ca_topic_score_gemma":0.0010783996,"teacher_disagreement_score":0.0025230558,"about_ca_system_score_codex":0.0007083748,"about_ca_system_score_gemma":0.0002924867,"threshold_uncertainty_score":0.008440495},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113465,0.001450468,0.8807226,0.00019876329,0.00034259082,0.000034694054,0.00013723962,0.00083906547,0.002809535],"genre_scores_gemma":[0.9225239,0.00075343106,0.074372225,0.00004899706,0.00015322633,0.000051123956,0.00019264911,0.000055188524,0.0018493272],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888974,0.000287125,0.00008727263,0.00018230232,0.0004618215,0.000091823546],"domain_scores_gemma":[0.9987159,0.00045331402,0.00026002235,0.00020601106,0.0003261448,0.000038750877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011435759,0.0004950301,0.0004976153,0.0009510801,0.00036681572,0.00068092253,0.0007014952,0.00059719017,0.00081171206],"category_scores_gemma":[0.0059881443,0.00030767207,0.00013589606,0.0010862295,0.00031111075,0.0020524696,0.0010001322,0.0006311078,0.00032642332],"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":[0.0012433943,0.00011953792,0.006525597,0.00030653577,0.00008112001,0.0003016926,0.00039250148,0.29457498,0.097000256,0.014374007,0.004215941,0.58086437],"study_design_scores_gemma":[0.000046717767,0.0003012386,0.0040071066,0.000047813424,0.000046237863,0.00033840045,0.00016320261,0.93361133,0.047474086,0.006960877,0.006962474,0.00004038993],"about_ca_topic_score_codex":0.0011824179,"about_ca_topic_score_gemma":0.0012122523,"teacher_disagreement_score":0.0011824179,"about_ca_system_score_codex":0.0003442439,"about_ca_system_score_gemma":0.0006724278,"threshold_uncertainty_score":0.006047845},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38139182,0.0022870144,0.59993464,0.00052316766,0.00027933504,0.00011682859,0.00011543315,0.0007879762,0.014563874],"genre_scores_gemma":[0.98304164,0.00026618547,0.013943405,0.000033373908,0.00004490428,0.000016854754,0.00003167683,0.000016585218,0.0026052988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997483,0.00006792386,0.000012875536,0.000027591439,0.00006498316,0.000078343706],"domain_scores_gemma":[0.9990602,0.0006075625,0.00004824743,0.000112703325,0.00013981416,0.000031432442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067048246,0.00040459292,0.00042643808,0.0004115239,0.00081035995,0.00076372415,0.0005721835,0.0004585987,0.0022982594],"category_scores_gemma":[0.0014365605,0.0002100749,0.00022905397,0.0003496202,0.00038423017,0.0005702113,0.000702707,0.00043631942,0.00033808738],"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":[0.0011311946,0.00030809894,0.0031048388,0.00023392013,0.00009444056,0.0019170945,0.00071708835,0.35268173,0.17121002,0.049773116,0.005879297,0.4129492],"study_design_scores_gemma":[0.000037534784,0.0003375796,0.0009729889,0.000019189165,0.000100434416,0.00061571016,0.0002209415,0.96623516,0.017562155,0.0108367065,0.0030302892,0.00003128594],"about_ca_topic_score_codex":0.0021570567,"about_ca_topic_score_gemma":0.005907867,"teacher_disagreement_score":0.0022982594,"about_ca_system_score_codex":0.00037590507,"about_ca_system_score_gemma":0.00040962466,"threshold_uncertainty_score":0.0076884627},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062144056,0.00094746344,0.9342422,0.00034469436,0.00016008953,0.00012826963,0.000034609937,0.0005032915,0.0014953462],"genre_scores_gemma":[0.9384406,0.0003188177,0.057984553,0.000106889696,0.000085289495,0.00013159927,0.00005227463,0.00005183084,0.0028281643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859494,0.000475224,0.00010508838,0.00021119515,0.0004646927,0.00014883246],"domain_scores_gemma":[0.9955199,0.002161803,0.0007300558,0.00097463623,0.00046378135,0.00014977336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021806457,0.00045275717,0.0008764776,0.00073405466,0.0007586151,0.0007298632,0.0016141882,0.0007237773,0.0011988031],"category_scores_gemma":[0.005619029,0.00034155478,0.00032186587,0.0008656692,0.0013680201,0.0026407635,0.0017226672,0.0008275029,0.00027943304],"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":[0.003705445,0.00052090327,0.002308383,0.0007154536,0.0003251981,0.00071780937,0.0011189617,0.38908023,0.10236726,0.106337756,0.007794919,0.38500774],"study_design_scores_gemma":[0.00014504214,0.00041707215,0.00040097424,0.00001991508,0.000072103474,0.0003764598,0.00015691158,0.947103,0.010315481,0.038272876,0.0026788388,0.000041296462],"about_ca_topic_score_codex":0.00045201092,"about_ca_topic_score_gemma":0.00056494685,"teacher_disagreement_score":0.0021806457,"about_ca_system_score_codex":0.0006838135,"about_ca_system_score_gemma":0.00068480603,"threshold_uncertainty_score":0.011532545},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15144359,0.0007129839,0.7833865,0.016622236,0.0010948408,0.0019794165,0.00025639212,0.0054634134,0.03904062],"genre_scores_gemma":[0.94286925,0.00015198738,0.052396405,0.0012173887,0.00016845496,0.0002420794,0.00013857281,0.00007627406,0.0027394933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9897083,0.004857177,0.0010478968,0.00058084144,0.002812765,0.0009929447],"domain_scores_gemma":[0.978831,0.008588094,0.0025180732,0.0046293656,0.004371078,0.0010624384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014083264,0.0003403659,0.00046367373,0.00093894143,0.001256472,0.0030696061,0.00149684,0.0014469402,0.0024113872],"category_scores_gemma":[0.024736056,0.00035104915,0.00032675214,0.00041562392,0.0011136741,0.0024369436,0.0025951639,0.0020360453,0.000707375],"study_design_candidate":"not_applicable","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":[0.002499627,0.0016350937,0.027732333,0.0005095439,0.00028762972,0.0013454739,0.001914322,0.06697885,0.04352213,0.39373085,0.036357064,0.4234871],"study_design_scores_gemma":[0.0004956975,0.0011577056,0.006642934,0.0003384215,0.0001736367,0.0011579639,0.0007835168,0.72281504,0.06787733,0.11419514,0.08423606,0.00012652377],"about_ca_topic_score_codex":0.0013062572,"about_ca_topic_score_gemma":0.0009268589,"teacher_disagreement_score":0.014083264,"about_ca_system_score_codex":0.0016074551,"about_ca_system_score_gemma":0.004447613,"threshold_uncertainty_score":0.074480295},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012318125,0.38506752,0.5235978,0.041193154,0.0067375503,0.00053552777,0.00063408964,0.0009147277,0.029001513],"genre_scores_gemma":[0.28383455,0.49180624,0.18536891,0.003990219,0.008658253,0.00092330255,0.0013994289,0.00034155045,0.02367754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969463,0.0008802907,0.00032233231,0.00030289558,0.0013049294,0.00024330433],"domain_scores_gemma":[0.99524635,0.0023105775,0.00029559236,0.00045890233,0.0014220999,0.00026663978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058575864,0.00092479744,0.0016210504,0.0021021722,0.0015162453,0.008483001,0.0037160127,0.0029617315,0.0026467987],"category_scores_gemma":[0.007599857,0.0009931154,0.0004899069,0.004910958,0.0025068042,0.012279167,0.0037128169,0.0040732664,0.0012595226],"study_design_candidate":"not_applicable","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":[0.00014069927,0.00016070552,0.001861644,0.0025612367,0.00009731873,0.0003013547,0.00048461108,0.041523766,0.003375982,0.363667,0.043827407,0.5419983],"study_design_scores_gemma":[0.000034120287,0.00025950375,0.00065965584,0.0013159247,0.000102116755,0.0012693586,0.0024410414,0.22946148,0.00484258,0.33229664,0.42715046,0.00016712006],"about_ca_topic_score_codex":0.0034105303,"about_ca_topic_score_gemma":0.003177846,"teacher_disagreement_score":0.008483001,"about_ca_system_score_codex":0.0017375852,"about_ca_system_score_gemma":0.0023872638,"threshold_uncertainty_score":0.030978262},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010997481,0.00031042978,0.9867504,0.00011719088,0.00006344418,0.000073037736,0.000050086248,0.0008835771,0.0007542807],"genre_scores_gemma":[0.4739562,0.00051468256,0.51892424,0.00020379866,0.00024084472,0.00023217275,0.00043867674,0.00018305435,0.0053062956],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986524,0.00020613514,0.0000899379,0.00025900546,0.0006819152,0.00011064472],"domain_scores_gemma":[0.99894387,0.00028365242,0.000111653724,0.0003287822,0.00028537374,0.00004664244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010652575,0.0010130014,0.0012315835,0.0009172956,0.00076840416,0.00093258097,0.0021660586,0.00070887513,0.0020302846],"category_scores_gemma":[0.0021752145,0.00040380497,0.0005960921,0.001107271,0.00051726453,0.0017403284,0.0012430595,0.00080396485,0.00065526593],"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":[0.0007104711,0.00043524615,0.0015553577,0.0003138664,0.00022605223,0.00036845027,0.00022928447,0.310871,0.10622158,0.018587472,0.011579443,0.54890174],"study_design_scores_gemma":[0.00002144266,0.00009844171,0.0002616624,0.0000023521773,0.000028975752,0.000117486845,0.00004001362,0.9849695,0.00923197,0.003769497,0.0014449015,0.000013900609],"about_ca_topic_score_codex":0.0024923056,"about_ca_topic_score_gemma":0.003640799,"teacher_disagreement_score":0.0024923056,"about_ca_system_score_codex":0.0005521565,"about_ca_system_score_gemma":0.0011367508,"threshold_uncertainty_score":0.0067919493},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003153136,0.00016841658,0.9929476,0.00020645441,0.000064885004,0.0001270474,0.000120172655,0.0018793038,0.0013329692],"genre_scores_gemma":[0.38356894,0.00032814287,0.6101444,0.00025981813,0.00012630937,0.00037196718,0.00072125404,0.00021023123,0.004269028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963116,0.0011415813,0.00028143192,0.00049126765,0.0014023115,0.000371762],"domain_scores_gemma":[0.99500424,0.002150604,0.00040623135,0.0007418522,0.0011638701,0.0005332104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059379586,0.0013382942,0.0016721061,0.0014234924,0.0015175194,0.0030505396,0.0038505795,0.0017376504,0.004345234],"category_scores_gemma":[0.01144258,0.00057466736,0.0011440499,0.0011942026,0.0011018289,0.0038636096,0.004219028,0.0025556535,0.0010008968],"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":[0.0008563127,0.00042315666,0.0024134412,0.0003714387,0.00038895084,0.0004324172,0.00051513314,0.5497585,0.0040435637,0.11028745,0.01636256,0.314147],"study_design_scores_gemma":[0.000036036967,0.00006940493,0.00009662848,0.000016452763,0.0000395365,0.000053842195,0.000035111912,0.9613967,0.0013964465,0.032507896,0.0043284553,0.000023521643],"about_ca_topic_score_codex":0.009380357,"about_ca_topic_score_gemma":0.009898377,"teacher_disagreement_score":0.009380357,"about_ca_system_score_codex":0.0016828217,"about_ca_system_score_gemma":0.0035971077,"threshold_uncertainty_score":0.031403303},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004785251,0.0074025774,0.9777794,0.0031398246,0.00012979511,0.000070993716,0.00020654114,0.00007054395,0.006415118],"genre_scores_gemma":[0.625978,0.040731322,0.31593385,0.0013405067,0.0020824678,0.0007842575,0.00058810366,0.00009205342,0.012469411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944805,0.003219513,0.00033646493,0.000608668,0.0011467676,0.00020809895],"domain_scores_gemma":[0.94145954,0.052280165,0.0018941897,0.0014163735,0.0025750883,0.00037459508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011554702,0.0018746555,0.0045502847,0.011016085,0.001513746,0.0042241337,0.004093589,0.005023149,0.005519975],"category_scores_gemma":[0.06160589,0.0015566042,0.0019117757,0.011064117,0.008340837,0.011854847,0.004124108,0.0043739397,0.0008237455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045897486,0.000053843472,0.0011311322,0.0005670868,0.00017854833,0.0002263242,0.00015996744,0.18149403,0.00016258933,0.7717645,0.004052485,0.04016364],"study_design_scores_gemma":[0.000029992472,0.0000484389,0.00029590755,0.00017377005,0.00006877101,0.00020477205,0.00009505572,0.22776462,0.00014252105,0.76890296,0.0022404504,0.000032805077],"about_ca_topic_score_codex":0.0037105726,"about_ca_topic_score_gemma":0.0022386208,"teacher_disagreement_score":0.011554702,"about_ca_system_score_codex":0.0037938752,"about_ca_system_score_gemma":0.0021104198,"threshold_uncertainty_score":0.061107814},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06050869,0.00040353206,0.9325815,0.00035167686,0.0004622831,0.00025055924,0.00007897456,0.0022870873,0.0030757552],"genre_scores_gemma":[0.89902425,0.00009580681,0.09809645,0.00018462862,0.00029027855,0.00013985416,0.00004816739,0.00011543753,0.002005093],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99655735,0.00085122546,0.00032364044,0.0005437547,0.0011999304,0.00052404037],"domain_scores_gemma":[0.9896702,0.0034213078,0.0006299088,0.0033442404,0.0022100213,0.00072426145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006477695,0.00062513514,0.0012321948,0.0014217416,0.002540236,0.0026314212,0.003723514,0.0012931192,0.0022665164],"category_scores_gemma":[0.010990249,0.000487242,0.00047139113,0.0010945831,0.0021094137,0.003089498,0.0031339598,0.0021926747,0.0004892633],"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":[0.0036176103,0.00094564795,0.004697112,0.00036921338,0.00028891172,0.0007664326,0.001329378,0.2311196,0.10279009,0.26948312,0.009362392,0.3752304],"study_design_scores_gemma":[0.00017563903,0.00033598221,0.00041628483,0.000024255769,0.000115447416,0.00022814357,0.000073975745,0.9347507,0.017271945,0.041088656,0.0054158317,0.00010309621],"about_ca_topic_score_codex":0.0020240971,"about_ca_topic_score_gemma":0.0021324493,"teacher_disagreement_score":0.006477695,"about_ca_system_score_codex":0.0017696274,"about_ca_system_score_gemma":0.0023182991,"threshold_uncertainty_score":0.03425777},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031041838,0.0014909356,0.95798194,0.00044458127,0.00080487144,0.0002876686,0.00014043936,0.0024644912,0.00534326],"genre_scores_gemma":[0.6645023,0.0015978302,0.31235293,0.00046756846,0.00048673523,0.00043905064,0.00074057403,0.00020211135,0.019210918],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958163,0.00006580934,0.00003456115,0.000059668495,0.00020540714,0.000052851967],"domain_scores_gemma":[0.9994006,0.00015273636,0.000042881686,0.00009184265,0.00025563064,0.000056219116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004575806,0.00046842403,0.0006409605,0.0008493468,0.0007282031,0.0008005732,0.0013784742,0.00066475925,0.0011738547],"category_scores_gemma":[0.0011659419,0.00023238685,0.0003074334,0.00068922946,0.0003775247,0.0014224348,0.0012925847,0.0008345501,0.00061049603],"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":[0.00075729884,0.000360141,0.0012525338,0.0003983559,0.00016409505,0.0011741664,0.00040023588,0.08387155,0.18719597,0.067838766,0.028395928,0.628191],"study_design_scores_gemma":[0.000085316904,0.00037510163,0.0005102949,0.000024969064,0.00009566346,0.0010398922,0.00011908507,0.91877675,0.031677704,0.009280625,0.03793353,0.00008105901],"about_ca_topic_score_codex":0.0017290488,"about_ca_topic_score_gemma":0.0020033398,"teacher_disagreement_score":0.0017290488,"about_ca_system_score_codex":0.0006222602,"about_ca_system_score_gemma":0.0007821233,"threshold_uncertainty_score":0.0045148134},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017150665,0.011580593,0.951501,0.0020675363,0.0009941454,0.00021241758,0.00017189278,0.0006768141,0.01564504],"genre_scores_gemma":[0.7022313,0.018762793,0.2502998,0.0010519413,0.0017386622,0.0011169306,0.0007976335,0.0003063558,0.023694593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988875,0.00030336558,0.00006329895,0.0001271298,0.0005412885,0.000077340774],"domain_scores_gemma":[0.9980538,0.0011864494,0.00018000927,0.0002557062,0.00025227902,0.00007183201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009055121,0.00068631076,0.0005481147,0.0012430465,0.00072201504,0.0013904666,0.0013888341,0.0013816621,0.0023231118],"category_scores_gemma":[0.0061295484,0.00039850682,0.00039716993,0.0021579752,0.0014174228,0.0030819117,0.0016779063,0.001596625,0.0004288911],"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":[0.00025160777,0.000113057235,0.0006142183,0.0005553896,0.000088072404,0.0003402572,0.0005338793,0.20033067,0.010210437,0.53257376,0.01667047,0.23771827],"study_design_scores_gemma":[0.000062898245,0.00023151367,0.0005305816,0.00011722197,0.00009856969,0.0006770087,0.00014556517,0.6421765,0.0044364673,0.30658746,0.044890158,0.0000460884],"about_ca_topic_score_codex":0.0016719272,"about_ca_topic_score_gemma":0.0013071464,"teacher_disagreement_score":0.0023231118,"about_ca_system_score_codex":0.00076639355,"about_ca_system_score_gemma":0.00056715944,"threshold_uncertainty_score":0.007771611},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49885464,0.0010316775,0.44409022,0.0010102813,0.00078098377,0.0008977614,0.0007759022,0.042226613,0.010331885],"genre_scores_gemma":[0.9470207,0.0002062658,0.04835657,0.000203334,0.0000687437,0.00013061531,0.00054589205,0.0000794141,0.0033884156],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949896,0.000094745505,0.00005489084,0.00012703646,0.00016683743,0.000057499215],"domain_scores_gemma":[0.99925095,0.0001838063,0.00006963863,0.00011183737,0.00028989656,0.00009377697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063622155,0.0006128644,0.0008110807,0.0012341123,0.00068327674,0.0007705527,0.00088712043,0.000740089,0.0016952616],"category_scores_gemma":[0.0012945345,0.00023919603,0.0002472345,0.0005115979,0.00029334627,0.0012189053,0.0010323928,0.0004723499,0.00056537567],"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":[0.002357208,0.001126362,0.042110246,0.00042803955,0.0005563591,0.0014876581,0.000881167,0.058483217,0.12827471,0.0075057796,0.031864483,0.7249248],"study_design_scores_gemma":[0.0001875545,0.0009163435,0.0087485155,0.00003913972,0.00024452922,0.0007752976,0.00023760131,0.9008616,0.06564661,0.0022210774,0.020056445,0.0000653828],"about_ca_topic_score_codex":0.0022027139,"about_ca_topic_score_gemma":0.0020409022,"teacher_disagreement_score":0.0022027139,"about_ca_system_score_codex":0.0005869536,"about_ca_system_score_gemma":0.0006653595,"threshold_uncertainty_score":0.0056712627},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15561868,0.0017978367,0.8338988,0.00033209936,0.00026660893,0.000063454485,0.000044503147,0.00046820653,0.0075098784],"genre_scores_gemma":[0.98217726,0.00027544997,0.016732236,0.000051623407,0.000046924728,0.000016441305,0.000017363061,0.000015115774,0.0006676103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996189,0.00010421517,0.000019420453,0.00005783308,0.0001034892,0.00009612331],"domain_scores_gemma":[0.999169,0.0004175916,0.00012862022,0.000068682144,0.00015494153,0.00006116166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530947,0.00039967863,0.0005314425,0.00054113095,0.00066828314,0.000887107,0.0008733294,0.00046012976,0.00033322224],"category_scores_gemma":[0.0016460841,0.00025056343,0.00023703043,0.0005497319,0.0004641644,0.0007325023,0.00074387545,0.00039509241,0.00007329222],"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":[0.00047421033,0.00025475165,0.004996775,0.0002322121,0.00017704118,0.00077990524,0.00036603303,0.7625348,0.0415407,0.027358633,0.0032021578,0.15808281],"study_design_scores_gemma":[0.0000058593278,0.000052452222,0.0004946789,0.00000636135,0.00002721723,0.00015163417,0.000058224112,0.99193054,0.0016727765,0.004944535,0.0006461161,0.000009614333],"about_ca_topic_score_codex":0.001175536,"about_ca_topic_score_gemma":0.0032364493,"teacher_disagreement_score":0.001175536,"about_ca_system_score_codex":0.00038691415,"about_ca_system_score_gemma":0.0005854568,"threshold_uncertainty_score":0.0034539104},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31771204,0.00049950514,0.67368346,0.00047969527,0.00011112118,0.00011013274,0.00020490325,0.0011201457,0.0060789883],"genre_scores_gemma":[0.99010473,0.00009035885,0.008682703,0.000016932843,0.000013491597,0.000027096414,0.000049870643,0.000012564643,0.001002294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997009,0.00006642127,0.000012927363,0.00007238828,0.00010279868,0.000044654713],"domain_scores_gemma":[0.9995091,0.0002121849,0.000048893544,0.000036552476,0.00017490995,0.000018379074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005324081,0.0005604305,0.000641233,0.00038862365,0.000469188,0.00066245114,0.00072881195,0.0005428577,0.00097422674],"category_scores_gemma":[0.0009797356,0.00019856477,0.00034402078,0.00039671833,0.00027681957,0.0007849075,0.0002965655,0.00046846716,0.00018708094],"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":[0.00007631083,0.00004712304,0.0012560586,0.000024369921,0.000024781235,0.000042541924,0.000022787213,0.98035824,0.0030803753,0.0011714499,0.00030423983,0.0135917],"study_design_scores_gemma":[7.4660477e-7,0.000013386551,0.00009619556,5.185611e-7,0.0000026791236,0.000003616308,0.000001390493,0.99948525,0.00029833196,0.000063868894,0.000032883978,0.0000010813958],"about_ca_topic_score_codex":0.017370798,"about_ca_topic_score_gemma":0.008904235,"teacher_disagreement_score":0.017370798,"about_ca_system_score_codex":0.0010057933,"about_ca_system_score_gemma":0.0008215773,"threshold_uncertainty_score":0.034539342},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15544063,0.003371584,0.800573,0.0009033735,0.00083670433,0.00054644013,0.001029508,0.019571632,0.017727189],"genre_scores_gemma":[0.71992105,0.0015855567,0.24290243,0.0007531885,0.00026908395,0.00036728798,0.0012740055,0.0006457728,0.032281548],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997825,0.00003200034,0.000010570097,0.00004037198,0.000106824475,0.000027682658],"domain_scores_gemma":[0.99983025,0.00006444279,0.000011369742,0.000019946185,0.000054752632,0.000019338222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956964,0.0005513771,0.00028245008,0.0003467496,0.00020061358,0.00048495445,0.0006213049,0.0004944041,0.006852573],"category_scores_gemma":[0.00063724775,0.00014752247,0.00015892736,0.00019216335,0.00014278977,0.0004902161,0.00065897626,0.00036774186,0.0012014048],"study_design_candidate":"bench_or_experimental","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":[0.0018879934,0.00021981573,0.0036749141,0.00036682928,0.0001399529,0.00037401746,0.00022098799,0.0033752043,0.2484112,0.0019825734,0.014193623,0.7251528],"study_design_scores_gemma":[0.00094641687,0.004301807,0.033178482,0.00029178197,0.00047999408,0.0033584237,0.00038449655,0.41075727,0.42428413,0.0035529865,0.118277974,0.00018619567],"about_ca_topic_score_codex":0.0013106582,"about_ca_topic_score_gemma":0.002301936,"teacher_disagreement_score":0.006852573,"about_ca_system_score_codex":0.0001454111,"about_ca_system_score_gemma":0.00021625108,"threshold_uncertainty_score":0.022924125},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053302813,0.00033804696,0.940536,0.0003045959,0.00011092286,0.00008110834,0.00014635647,0.0019797925,0.0032003783],"genre_scores_gemma":[0.9244982,0.00011909479,0.070713274,0.000099005636,0.000034003442,0.00004777634,0.00017527635,0.000037255617,0.00427602],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985454,0.00041734093,0.00009435076,0.00031514955,0.00034022244,0.00028755455],"domain_scores_gemma":[0.99642485,0.0011600289,0.00020579189,0.0016007558,0.00046470793,0.00014384191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020464056,0.0004481447,0.0009918758,0.00084365427,0.001023882,0.0014688302,0.0015299406,0.0014568216,0.0034298876],"category_scores_gemma":[0.0059322356,0.000254145,0.00054244755,0.0007427506,0.0010279008,0.00424199,0.0025799924,0.0016267054,0.0011247526],"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":[0.0014868523,0.0008230391,0.003336627,0.00013662146,0.00010577332,0.0002472437,0.0002717625,0.33374494,0.008702738,0.079593204,0.0065858006,0.5649654],"study_design_scores_gemma":[0.00002557758,0.00010883785,0.0003106673,0.000016664628,0.000012637151,0.00009646086,0.000060722105,0.93853825,0.0058271377,0.052987963,0.0019992935,0.000015776957],"about_ca_topic_score_codex":0.0019832784,"about_ca_topic_score_gemma":0.0021453714,"teacher_disagreement_score":0.0034298876,"about_ca_system_score_codex":0.0010834086,"about_ca_system_score_gemma":0.0014476769,"threshold_uncertainty_score":0.011474133},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092726,0.005685707,0.06046564,0.0004658066,0.0010298098,0.00021399625,0.0030273348,0.0055881045,0.014250916],"genre_scores_gemma":[0.96122724,0.0008799715,0.026123747,0.00014127168,0.00007637836,0.000046988793,0.0046166126,0.00010110599,0.0067866957],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993357,0.00007286069,0.00003488148,0.00019442235,0.00020212542,0.00015989665],"domain_scores_gemma":[0.99915993,0.00020347083,0.000056432233,0.000068604335,0.00044508578,0.00006639989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010255064,0.0013947756,0.0008728764,0.0012342023,0.0004009578,0.0007425277,0.00117258,0.001024163,0.0028809276],"category_scores_gemma":[0.001910097,0.000400735,0.00046869268,0.0008212767,0.00024139133,0.00075408653,0.0006401004,0.00042739735,0.0010376667],"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":[0.004737943,0.00092401175,0.030301822,0.00071922207,0.0010732395,0.0003985086,0.00006980506,0.28919664,0.039865296,0.0013593574,0.020051083,0.61130303],"study_design_scores_gemma":[0.0000385244,0.00030155396,0.005817197,0.000022129452,0.000105627994,0.00014392572,0.000029305162,0.975437,0.016563807,0.00024906918,0.0012749773,0.000016885044],"about_ca_topic_score_codex":0.030998519,"about_ca_topic_score_gemma":0.029660515,"teacher_disagreement_score":0.030998519,"about_ca_system_score_codex":0.0012943046,"about_ca_system_score_gemma":0.0009726014,"threshold_uncertainty_score":0.06163621},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043389685,0.000804112,0.94119453,0.00020461499,0.00016146014,0.00017053656,0.0011739779,0.010410797,0.0024902972],"genre_scores_gemma":[0.6764678,0.0005172922,0.31283456,0.00023754606,0.000107739615,0.00017568287,0.0031640218,0.0004396755,0.0060557933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997187,0.00002665574,0.000009895798,0.00010083842,0.000096414326,0.000047485017],"domain_scores_gemma":[0.9996269,0.00012139187,0.00003282265,0.000053974483,0.00012628081,0.00003866413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022764922,0.0012546537,0.0009825615,0.0020702279,0.00061047886,0.0005443012,0.0019455511,0.0006465584,0.0024308665],"category_scores_gemma":[0.0009943519,0.00039255357,0.00064275594,0.0016355577,0.00028031625,0.001274676,0.0010027713,0.0008737481,0.0007270489],"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":[0.00034267237,0.0003042987,0.0050998344,0.00022280835,0.00020510353,0.00029870262,0.00019025157,0.22064383,0.012268838,0.0052641854,0.02045816,0.73470134],"study_design_scores_gemma":[0.00000857833,0.00002801456,0.0006959769,0.000006608029,0.000024353008,0.000044811473,0.000031984906,0.9939085,0.0017014667,0.002224073,0.0013163656,0.000009158858],"about_ca_topic_score_codex":0.038929563,"about_ca_topic_score_gemma":0.055797394,"teacher_disagreement_score":0.038929563,"about_ca_system_score_codex":0.00065841596,"about_ca_system_score_gemma":0.0013462437,"threshold_uncertainty_score":0.07740593},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09684305,0.0008352493,0.89409226,0.00078241026,0.00010221374,0.00014980095,0.0013796744,0.0013077271,0.0045076804],"genre_scores_gemma":[0.9058267,0.0005127488,0.0869198,0.00021455732,0.00008624108,0.00006822211,0.0011130234,0.000105395855,0.005153377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99499524,0.0010866672,0.00033694613,0.00095839205,0.0017420847,0.00088065676],"domain_scores_gemma":[0.9872026,0.0019391989,0.0007105335,0.008907092,0.0009200646,0.00032046175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025346014,0.0008747423,0.0024627014,0.00066312077,0.0011689434,0.002865331,0.0035387336,0.0014554102,0.0028446366],"category_scores_gemma":[0.0075219744,0.0009713082,0.000971342,0.0029328135,0.0013732094,0.0070203966,0.005374658,0.0017003542,0.0016877926],"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":[0.0029740396,0.0005309948,0.007385299,0.00050261064,0.00043933568,0.0010627237,0.0007399307,0.52361804,0.018943941,0.105247535,0.014894824,0.32366076],"study_design_scores_gemma":[0.00011530409,0.00019600273,0.00084399316,0.000031020536,0.00006363811,0.00060434354,0.00031105333,0.8970255,0.010924296,0.085613035,0.0042255754,0.000046148845],"about_ca_topic_score_codex":0.004737554,"about_ca_topic_score_gemma":0.004401427,"teacher_disagreement_score":0.004737554,"about_ca_system_score_codex":0.0011186721,"about_ca_system_score_gemma":0.0027367545,"threshold_uncertainty_score":0.013404369},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052284833,0.0008055249,0.9410046,0.00051162473,0.00020344931,0.000042706142,0.00007896772,0.0004975407,0.0045706984],"genre_scores_gemma":[0.97074336,0.00018110912,0.025768006,0.00016173799,0.0000612135,0.000038160502,0.000056448094,0.00003086029,0.0029591657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997062,0.00006599768,0.000010939837,0.00006377552,0.00005759473,0.000095484356],"domain_scores_gemma":[0.99918765,0.00050747645,0.000042394207,0.0000462074,0.0001605835,0.000055738252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059358485,0.00061341166,0.0009781288,0.00021418142,0.0003709534,0.0006728772,0.0010087817,0.0007401822,0.0028258371],"category_scores_gemma":[0.0019351708,0.00029350095,0.00026094913,0.00039720553,0.0006536109,0.00079713244,0.0008570857,0.0013835654,0.0002955894],"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":[0.0001450644,0.00015403988,0.000612835,0.00007165651,0.00003077532,0.00006371318,0.00004677699,0.91286695,0.0028524748,0.010467586,0.0030720753,0.06961601],"study_design_scores_gemma":[0.000002080333,0.0000083998675,0.000029048317,0.0000016541692,0.0000014364971,0.0000024581345,0.0000024896924,0.9983291,0.00015010664,0.0014071312,0.00006489643,0.0000011680476],"about_ca_topic_score_codex":0.007559312,"about_ca_topic_score_gemma":0.010334486,"teacher_disagreement_score":0.007559312,"about_ca_system_score_codex":0.0007570108,"about_ca_system_score_gemma":0.0009841617,"threshold_uncertainty_score":0.0150306225},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06950489,0.0022228542,0.9038779,0.0010869968,0.00024580394,0.00007530159,0.00006729668,0.0006487476,0.022270204],"genre_scores_gemma":[0.91176337,0.0012934859,0.0778753,0.00014825017,0.00019709773,0.00008037508,0.000043354306,0.000059554164,0.008539177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972016,0.0001311888,0.000007840769,0.0000314595,0.00006158796,0.000047707545],"domain_scores_gemma":[0.999185,0.00051315455,0.0000622411,0.00007101558,0.00011648302,0.000051997544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060168136,0.00053022086,0.00053811155,0.00045682513,0.0008502059,0.0014738763,0.00050870195,0.00067212153,0.0018779384],"category_scores_gemma":[0.0016997358,0.00020104364,0.00031083266,0.0008527056,0.00082810083,0.001195393,0.0012167583,0.0010078585,0.00037029744],"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":[0.0005183412,0.00024909416,0.0010198193,0.00018998508,0.00008501018,0.0006789553,0.00041109318,0.5242644,0.022322217,0.28882593,0.007927609,0.1535076],"study_design_scores_gemma":[0.000007214877,0.000059354097,0.00012159614,0.000010216952,0.000011111432,0.0001425237,0.000058433176,0.9756541,0.0014659576,0.02002473,0.002431401,0.000013268493],"about_ca_topic_score_codex":0.0010751483,"about_ca_topic_score_gemma":0.0012490151,"teacher_disagreement_score":0.0018779384,"about_ca_system_score_codex":0.00064050406,"about_ca_system_score_gemma":0.00033997674,"threshold_uncertainty_score":0.0062823296},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13800055,0.00057624554,0.76374626,0.00040757935,0.0005499108,0.0005674264,0.0009137833,0.06310263,0.032135546],"genre_scores_gemma":[0.8632312,0.0001481535,0.11441405,0.00015986644,0.000053226064,0.00027370287,0.0014056767,0.00079743937,0.019516675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999647,0.00004851489,0.0000091297015,0.00007143765,0.00014752365,0.00007634371],"domain_scores_gemma":[0.9996253,0.00006519161,0.000017304657,0.000096252355,0.000115228104,0.00008070575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276049,0.0006425088,0.0004795774,0.0004552866,0.0006275369,0.00089185004,0.0017244188,0.0006246093,0.0077649695],"category_scores_gemma":[0.0008824832,0.00026875047,0.00020396612,0.0003986436,0.0003834303,0.0008426592,0.0018887537,0.0007646821,0.0013599448],"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":[0.0025527754,0.0006871373,0.0040209424,0.0003257701,0.00022173236,0.0006475524,0.0007102612,0.17679566,0.11954221,0.0188796,0.094551705,0.5810647],"study_design_scores_gemma":[0.00028872432,0.00043866152,0.0017096418,0.000018177228,0.000026352945,0.0001348034,0.00015038521,0.9370398,0.030766204,0.0043406026,0.025040498,0.0000462025],"about_ca_topic_score_codex":0.012766079,"about_ca_topic_score_gemma":0.011799213,"teacher_disagreement_score":0.012766079,"about_ca_system_score_codex":0.0006149591,"about_ca_system_score_gemma":0.0014642759,"threshold_uncertainty_score":0.02597642},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710113,0.000739028,0.0126401745,0.0011660276,0.00016301995,0.00002645917,0.00030897805,0.00014551822,0.013799547],"genre_scores_gemma":[0.9986596,0.00013000192,0.00048410957,0.000023376779,0.0000088631405,0.000002115842,0.000059941194,0.000016219949,0.0006158001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996037,0.000107151835,0.000010332909,0.00005137447,0.000103223065,0.00012419285],"domain_scores_gemma":[0.9956534,0.002796621,0.0003986021,0.00023985737,0.00065286283,0.0002586269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070385676,0.0003894293,0.00033726552,0.00060664467,0.0005155339,0.00094229943,0.00038446762,0.0007025028,0.0041464446],"category_scores_gemma":[0.007521864,0.00017449791,0.00023445504,0.0006031386,0.00046587514,0.0016581346,0.0006192408,0.0007721106,0.0003073361],"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":[0.0007265869,0.000082236525,0.008968947,0.0000711708,0.00006445062,0.00024541316,0.000044241428,0.96664256,0.0031898469,0.0034766851,0.0014210199,0.015066959],"study_design_scores_gemma":[0.000017907849,0.00028656193,0.012971266,0.000022332804,0.000061104154,0.0001381988,0.0002581906,0.98020923,0.003461091,0.0019829026,0.00057562604,0.000015567843],"about_ca_topic_score_codex":0.009851256,"about_ca_topic_score_gemma":0.00831395,"teacher_disagreement_score":0.009851256,"about_ca_system_score_codex":0.0007778413,"about_ca_system_score_gemma":0.00068173645,"threshold_uncertainty_score":0.019587815},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1380271,0.00219245,0.8345008,0.0005879214,0.00074700103,0.000532438,0.00054778357,0.0050830087,0.017781582],"genre_scores_gemma":[0.8227997,0.00087032095,0.16520725,0.0002910686,0.00014037422,0.00030029667,0.0009061752,0.00016449031,0.009320339],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980193,0.000039464845,0.00001741881,0.000036643756,0.00007189266,0.000032698477],"domain_scores_gemma":[0.9997986,0.00003963512,0.000030449992,0.000048247555,0.00005371804,0.000029422485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003783774,0.0004241675,0.000467416,0.0005902191,0.0005146028,0.0008380896,0.0009024871,0.00036130697,0.0016987126],"category_scores_gemma":[0.00059867935,0.00014184635,0.00020992933,0.00043114627,0.00025915948,0.0012737481,0.0015614503,0.000738016,0.000349922],"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":[0.0010333081,0.00040919782,0.0033697546,0.0008788204,0.00023087354,0.00065736927,0.0004885999,0.11689806,0.18456647,0.08671922,0.023975335,0.580773],"study_design_scores_gemma":[0.00020169723,0.0009783871,0.0013438335,0.00007068459,0.00014801318,0.0007061139,0.00037416993,0.8351573,0.071896024,0.013398958,0.07561807,0.00010685857],"about_ca_topic_score_codex":0.00060190243,"about_ca_topic_score_gemma":0.001258474,"teacher_disagreement_score":0.0016987126,"about_ca_system_score_codex":0.00045443652,"about_ca_system_score_gemma":0.0005944043,"threshold_uncertainty_score":0.005682707},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11245303,0.0007933665,0.87850225,0.00033998638,0.00027435302,0.00011979003,0.00011226209,0.0012324153,0.006172534],"genre_scores_gemma":[0.93222356,0.00017218706,0.06461879,0.000057859277,0.0000624448,0.00005163843,0.00008111542,0.000030044006,0.0027023468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947745,0.00015431948,0.000022135886,0.00008965308,0.00017404166,0.00008232256],"domain_scores_gemma":[0.9990872,0.00036169132,0.0000658204,0.000103422026,0.000320066,0.000061788036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210705,0.00038160465,0.0004966148,0.0007039765,0.0006851008,0.00061212765,0.0014304018,0.00042630418,0.0009334827],"category_scores_gemma":[0.0015287568,0.0002324786,0.00021864404,0.0008226427,0.00035300254,0.00073351624,0.00073263707,0.00039054092,0.00034421467],"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":[0.00055434875,0.00022083087,0.002375988,0.00014759481,0.000104780025,0.00018572873,0.00030603388,0.7233496,0.03969289,0.012406601,0.005421304,0.21523434],"study_design_scores_gemma":[0.0000068929817,0.000050352355,0.00048489514,0.0000026651562,0.000010702257,0.000036819674,0.00003442845,0.99393517,0.0037050284,0.001050718,0.0006727212,0.000009591612],"about_ca_topic_score_codex":0.005180042,"about_ca_topic_score_gemma":0.0063939556,"teacher_disagreement_score":0.005180042,"about_ca_system_score_codex":0.0005860964,"about_ca_system_score_gemma":0.00080644124,"threshold_uncertainty_score":0.010299742},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07180358,0.000705042,0.92167777,0.0005485466,0.00035823722,0.00024933758,0.00009028746,0.0012690236,0.0032980726],"genre_scores_gemma":[0.8589939,0.00033433017,0.13609667,0.00011309667,0.00008258057,0.0002076614,0.00016979796,0.000068075235,0.003933859],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920636,0.00018100087,0.000080737336,0.00011457343,0.00032969387,0.00008761098],"domain_scores_gemma":[0.99873453,0.00036057795,0.00016693845,0.00032857477,0.00033288985,0.00007650824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009496663,0.00048691285,0.00072899536,0.00054197543,0.0008774782,0.00074995763,0.0013855379,0.000694064,0.0010045642],"category_scores_gemma":[0.0027552815,0.00029423193,0.00047340867,0.0005461565,0.0006988351,0.0016329234,0.0022078592,0.00092364254,0.0003160507],"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":[0.00085922645,0.00032851388,0.0020919396,0.00028452798,0.0001866703,0.0012830219,0.0007696887,0.4123844,0.0736513,0.07327582,0.011748536,0.42313632],"study_design_scores_gemma":[0.000034107972,0.00023305281,0.00031639638,0.000012150686,0.000046236102,0.00023191099,0.00008967958,0.9795815,0.009219602,0.0064662606,0.003738015,0.000031157266],"about_ca_topic_score_codex":0.0026622708,"about_ca_topic_score_gemma":0.0029428604,"teacher_disagreement_score":0.0026622708,"about_ca_system_score_codex":0.00064141734,"about_ca_system_score_gemma":0.0012496695,"threshold_uncertainty_score":0.0052934885},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18499382,0.00022981364,0.8036097,0.0010764612,0.0001303754,0.0001756854,0.00011752607,0.0007905896,0.008876017],"genre_scores_gemma":[0.95677334,0.00006823873,0.039589297,0.00006320864,0.000019949033,0.000056348712,0.00007626853,0.000040541854,0.003312717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766433,0.0008769784,0.000111776455,0.0003731817,0.0005345653,0.00043910745],"domain_scores_gemma":[0.98999923,0.0039052777,0.0005587308,0.003633961,0.0009990125,0.0009038495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054354304,0.00041111084,0.0010671081,0.0007657829,0.002117721,0.0027277884,0.0021113358,0.0019913977,0.004761807],"category_scores_gemma":[0.011859304,0.00038589197,0.00053832954,0.00085887406,0.002099875,0.0061302865,0.006850558,0.0020561863,0.0008825584],"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":[0.0013743129,0.00068245624,0.004085713,0.00023071439,0.000120011704,0.0006808291,0.0010994633,0.46023956,0.017554875,0.36747557,0.0036184797,0.14283802],"study_design_scores_gemma":[0.00003581997,0.0001288412,0.00016777255,0.000028338904,0.00001529192,0.00006703958,0.000119591474,0.8273013,0.0059063626,0.16371022,0.002502133,0.000017270866],"about_ca_topic_score_codex":0.0016351723,"about_ca_topic_score_gemma":0.0023454174,"teacher_disagreement_score":0.0054354304,"about_ca_system_score_codex":0.001024343,"about_ca_system_score_gemma":0.0034959055,"threshold_uncertainty_score":0.02874571},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21208471,0.0011104137,0.7814843,0.0010480571,0.00014772822,0.000060421768,0.00011646723,0.0006248979,0.003322974],"genre_scores_gemma":[0.98312724,0.00010605936,0.014308685,0.00007820416,0.000023065884,0.000028490933,0.00005492473,0.000023974113,0.0022492309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970263,0.00009884108,0.000011778402,0.00006178089,0.0000406728,0.0000842727],"domain_scores_gemma":[0.9980751,0.0013279938,0.0001471813,0.000059946862,0.0002770612,0.0001126532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009899584,0.00061396876,0.0013338953,0.0004077571,0.0004595174,0.0007096741,0.0013718709,0.0012108836,0.0013166601],"category_scores_gemma":[0.0036093432,0.00046493424,0.0003163974,0.0004767083,0.00085302134,0.0009626114,0.00080111274,0.0012359063,0.00014352663],"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":[0.000041096762,0.000034435518,0.0004087555,0.000015765745,0.000015301317,0.000018849718,0.00001472923,0.989131,0.00020168185,0.0020205737,0.00043915753,0.007658697],"study_design_scores_gemma":[0.0000016945953,0.0000037464922,0.000016624235,5.9510916e-7,0.0000010806972,8.6814754e-7,0.0000015102187,0.9995246,0.000022746355,0.00040956135,0.000016408292,6.237148e-7],"about_ca_topic_score_codex":0.028407961,"about_ca_topic_score_gemma":0.020318497,"teacher_disagreement_score":0.028407961,"about_ca_system_score_codex":0.0016922686,"about_ca_system_score_gemma":0.0014172068,"threshold_uncertainty_score":0.056485236},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051604502,0.0005243102,0.93170065,0.00034887044,0.00025903384,0.00020888465,0.00026278928,0.004093193,0.010997668],"genre_scores_gemma":[0.72643715,0.00029932125,0.26502198,0.00018139904,0.00006133593,0.00012259882,0.0005223223,0.00011456524,0.007239318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982196,0.000022375305,0.000009120177,0.000037003887,0.00006181962,0.000047630347],"domain_scores_gemma":[0.9998386,0.000016651677,0.000008283099,0.000031320487,0.00005959897,0.00004554189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023970421,0.00033764142,0.0003924789,0.00035672027,0.00084499177,0.0008156473,0.0017949458,0.00047374793,0.0017069246],"category_scores_gemma":[0.00033811416,0.00018376915,0.00026148235,0.00033513855,0.0002585383,0.0009029864,0.0013993963,0.00058656826,0.00054699625],"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":[0.00081116805,0.0006847365,0.004061271,0.0003032695,0.00016450814,0.0010863788,0.0005831908,0.33392,0.09913961,0.14795597,0.04074626,0.37054372],"study_design_scores_gemma":[0.000028338844,0.00009454357,0.0004755022,0.00001374901,0.000030968244,0.00013249212,0.00010888531,0.9540103,0.00872406,0.013156642,0.023192056,0.000032405238],"about_ca_topic_score_codex":0.007098021,"about_ca_topic_score_gemma":0.014631253,"teacher_disagreement_score":0.007098021,"about_ca_system_score_codex":0.00049205194,"about_ca_system_score_gemma":0.0011615559,"threshold_uncertainty_score":0.014113426},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41364625,0.00040838332,0.5801199,0.0016347214,0.00020007692,0.00026224428,0.00036896346,0.0007198964,0.0026396546],"genre_scores_gemma":[0.98724526,0.00006881953,0.0122533245,0.000046613968,0.000035911886,0.000027673967,0.00008097455,0.000017843031,0.00022362694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9881534,0.0036197042,0.0011923241,0.0016099922,0.0042534852,0.0011710401],"domain_scores_gemma":[0.9352917,0.04330315,0.0075787376,0.0065471143,0.005875375,0.0014038506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007559223,0.0007786278,0.0014165363,0.0007898562,0.0013043773,0.0033507086,0.00166726,0.0018306796,0.0007295593],"category_scores_gemma":[0.06098982,0.0007167701,0.0010910829,0.0010503823,0.0027247663,0.0064154975,0.0036452818,0.0020615463,0.00013788638],"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":[0.0015442154,0.0002159035,0.017922318,0.00034069098,0.00043537657,0.0021076058,0.0008248337,0.8526566,0.011943378,0.074628174,0.0014156342,0.03596523],"study_design_scores_gemma":[0.00003063485,0.000072961455,0.00079385657,0.000019285002,0.00003457246,0.000116640455,0.00012719196,0.9649255,0.0030091954,0.030502504,0.00035374457,0.000013870821],"about_ca_topic_score_codex":0.005410086,"about_ca_topic_score_gemma":0.003523152,"teacher_disagreement_score":0.007559223,"about_ca_system_score_codex":0.0026859562,"about_ca_system_score_gemma":0.002912886,"threshold_uncertainty_score":0.03997749},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0421462,0.0006869841,0.945672,0.00029483964,0.000440803,0.00019922851,0.00027666392,0.0063719116,0.0039113886],"genre_scores_gemma":[0.628868,0.00029715206,0.3635944,0.00031884047,0.00026332165,0.00016148067,0.00106723,0.00045689652,0.0049727242],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948967,0.00006731868,0.000038317397,0.0001293798,0.00018905108,0.000086105676],"domain_scores_gemma":[0.99936587,0.000116238414,0.000050097566,0.00012058687,0.00025335207,0.00009373106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078383833,0.0008842798,0.00074692565,0.00091944897,0.00091694517,0.0010509618,0.0020406255,0.000454692,0.0027907726],"category_scores_gemma":[0.0016892152,0.00031969513,0.0002580394,0.0010568993,0.0002995315,0.001730629,0.0011762151,0.00091306603,0.00074594293],"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":[0.0010820292,0.0006871869,0.0028972114,0.00018867657,0.00010497718,0.00010523368,0.00013414204,0.110158086,0.059705205,0.0069539766,0.024962189,0.7930211],"study_design_scores_gemma":[0.00003990735,0.00007227411,0.00038847863,0.000007943949,0.000012260338,0.000045554807,0.000026778274,0.98615324,0.0077227606,0.002315475,0.0032027978,0.000012489007],"about_ca_topic_score_codex":0.005111949,"about_ca_topic_score_gemma":0.008917728,"teacher_disagreement_score":0.005111949,"about_ca_system_score_codex":0.0010980347,"about_ca_system_score_gemma":0.0014025725,"threshold_uncertainty_score":0.01016444},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14628452,0.00043847787,0.84856147,0.00020190583,0.00004634804,0.000035452187,0.000069736736,0.00015743302,0.004204689],"genre_scores_gemma":[0.98717,0.00012359172,0.010826689,0.00002541672,0.000017452337,0.000036940928,0.00004302864,0.000020266565,0.001736675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997271,0.00008858322,0.000008884257,0.00005167881,0.00006977141,0.000054005075],"domain_scores_gemma":[0.99945086,0.00031210697,0.000092135895,0.00002595142,0.000090046815,0.00002885839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188965,0.00056792056,0.00066572387,0.0004256074,0.0001999189,0.00044638047,0.00063359836,0.00049365085,0.00073260005],"category_scores_gemma":[0.001610891,0.00031312887,0.00024104542,0.0005179002,0.00043344818,0.0005879057,0.0007626931,0.0002936742,0.00010594194],"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":[0.00005635218,0.000017591894,0.00033707253,0.000028023542,0.000020761081,0.000031968444,0.000027213826,0.9823752,0.0023333675,0.0012965768,0.000306033,0.013169868],"study_design_scores_gemma":[0.000002677987,0.000019562967,0.00006835437,9.463151e-7,0.000002492923,0.0000039093857,0.000005133089,0.9993166,0.00018806501,0.00033170523,0.000059311635,0.0000013107758],"about_ca_topic_score_codex":0.0031282385,"about_ca_topic_score_gemma":0.0019633838,"teacher_disagreement_score":0.0031282385,"about_ca_system_score_codex":0.00047314705,"about_ca_system_score_gemma":0.00041059445,"threshold_uncertainty_score":0.0062200427},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056092847,0.0003021538,0.940896,0.00016227418,0.00005264831,0.000031169984,0.000065454864,0.0006897459,0.0017076258],"genre_scores_gemma":[0.9069592,0.00013653177,0.0913153,0.000058514022,0.00004025612,0.000040690113,0.00012246172,0.000042506043,0.0012846006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996799,0.000098759214,0.000016904525,0.000076426644,0.00007919907,0.00004869068],"domain_scores_gemma":[0.999238,0.00042163068,0.00007093202,0.00007011273,0.00017496743,0.00002435625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069133064,0.00067501084,0.00062886014,0.00062179065,0.0003553788,0.00065395737,0.0008048912,0.00069228996,0.0008480198],"category_scores_gemma":[0.002505561,0.00035288726,0.00027982227,0.0005045203,0.00033839696,0.00076199754,0.0005097229,0.00078329584,0.00027490433],"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":[0.000054896143,0.000050671522,0.0006609556,0.000018222048,0.000019041348,0.000022238655,0.0000149952675,0.9550067,0.0021315226,0.0013565473,0.00056266587,0.040101595],"study_design_scores_gemma":[9.0934833e-7,0.000003682819,0.000057596346,8.606746e-7,0.0000011355121,0.0000020515322,0.0000018087311,0.9993024,0.00017933742,0.00041788377,0.000031681815,7.219007e-7],"about_ca_topic_score_codex":0.008158475,"about_ca_topic_score_gemma":0.006873055,"teacher_disagreement_score":0.008158475,"about_ca_system_score_codex":0.0006025149,"about_ca_system_score_gemma":0.0007539741,"threshold_uncertainty_score":0.016222},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7007476,0.0009192245,0.27228543,0.0018056906,0.00014544842,0.00027626747,0.00017275885,0.00097675,0.022670835],"genre_scores_gemma":[0.99049604,0.000076050055,0.009007067,0.000024495808,0.000007731772,0.000014790857,0.000021782016,0.000011514628,0.0003406611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865144,0.0007003913,0.000032346656,0.00011898008,0.00014636795,0.00035052697],"domain_scores_gemma":[0.9986131,0.00066023326,0.00014959308,0.00012413297,0.00025420517,0.00019874131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013859351,0.00087037944,0.00050625217,0.00056801125,0.00061331934,0.0010042024,0.0009393991,0.00074729166,0.0009975729],"category_scores_gemma":[0.004238277,0.00038988382,0.00016928787,0.00075601664,0.00060812925,0.0013215044,0.001355119,0.0004348232,0.00041126294],"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":[0.0004056563,0.00026903296,0.010134315,0.00010931989,0.000055146807,0.0005924443,0.00019863732,0.88099414,0.0112176165,0.0108296545,0.004217058,0.080976926],"study_design_scores_gemma":[0.0000360764,0.00046655617,0.0035977485,0.000010945182,0.00003590252,0.00015443802,0.0007815924,0.9877957,0.0022885597,0.0035990574,0.0012180228,0.000015445134],"about_ca_topic_score_codex":0.0047132797,"about_ca_topic_score_gemma":0.012999961,"teacher_disagreement_score":0.0047132797,"about_ca_system_score_codex":0.00081363326,"about_ca_system_score_gemma":0.0018090474,"threshold_uncertainty_score":0.009371638},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007456753,0.00007119728,0.99020797,0.00012135636,0.0000331916,0.000021395577,0.000007604327,0.00012577852,0.0019548817],"genre_scores_gemma":[0.817551,0.00010292614,0.17799488,0.00011455226,0.000037654045,0.000066697285,0.00003032934,0.00003183317,0.004070166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993806,0.00018361514,0.000030311485,0.000106130254,0.0002070636,0.00009233172],"domain_scores_gemma":[0.99939966,0.00020305514,0.000075109914,0.00013654883,0.00013791988,0.000047736805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011847273,0.00048353508,0.0006589379,0.0004995115,0.0007731812,0.0011414667,0.0014183269,0.0011032941,0.0015639494],"category_scores_gemma":[0.0015002913,0.0002453152,0.0005416829,0.00037047788,0.0008270965,0.0014267103,0.0022416562,0.000984724,0.00021457755],"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":[0.00009889086,0.00010105195,0.000524665,0.0000545202,0.00008239742,0.0001411919,0.00008277192,0.85057294,0.006309742,0.0658678,0.00084912445,0.075314924],"study_design_scores_gemma":[0.0000038209714,0.00002687975,0.00003839562,0.00000243113,0.000004403375,0.000016587572,0.0000072677867,0.99008197,0.00058701285,0.008753429,0.00047471447,0.0000031231516],"about_ca_topic_score_codex":0.0017169678,"about_ca_topic_score_gemma":0.001554418,"teacher_disagreement_score":0.0017169678,"about_ca_system_score_codex":0.00057048124,"about_ca_system_score_gemma":0.00090168725,"threshold_uncertainty_score":0.006265521},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011834934,0.18125471,0.2586771,0.033007707,0.019161195,0.0002095816,0.00037946724,0.0008821309,0.4945931],"genre_scores_gemma":[0.42761448,0.17223637,0.08408799,0.008365257,0.02028424,0.0006309226,0.0007002337,0.00032465934,0.2857559],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993117,0.00021171267,0.000038541366,0.00012873062,0.0002679614,0.00004131606],"domain_scores_gemma":[0.9983177,0.00091623963,0.0001338743,0.00027746783,0.00027081705,0.00008383394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898476,0.00061729393,0.0009254391,0.0010180916,0.0006614424,0.003929102,0.00074269896,0.0017832334,0.014672635],"category_scores_gemma":[0.0032615145,0.00021783459,0.000173473,0.0017035656,0.002300385,0.005164653,0.0012637398,0.0014451011,0.003602764],"study_design_candidate":"not_applicable","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":[0.000021522324,0.00004985047,0.0004084463,0.00048626846,0.000022860546,0.00013444565,0.00021324484,0.003078976,0.00063097395,0.78767014,0.05050935,0.15677392],"study_design_scores_gemma":[0.000013485184,0.000026582142,0.00040995138,0.00014974068,0.000024649022,0.00028125368,0.000142784,0.00755252,0.0002783805,0.5769337,0.41417608,0.000010807507],"about_ca_topic_score_codex":0.00046628967,"about_ca_topic_score_gemma":0.00052184367,"teacher_disagreement_score":0.014672635,"about_ca_system_score_codex":0.00078460504,"about_ca_system_score_gemma":0.00074244704,"threshold_uncertainty_score":0.049084842},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018924175,0.00044103162,0.97579205,0.00020792229,0.000043942975,0.00004064398,0.000059139515,0.00014288627,0.0043481793],"genre_scores_gemma":[0.6707011,0.00093818275,0.32545394,0.00017115308,0.00005623231,0.00013991332,0.00011008682,0.00006746855,0.002362025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999681,0.00013103927,0.000012093595,0.000044242606,0.000083370796,0.00004830237],"domain_scores_gemma":[0.9996749,0.00013149504,0.00005949637,0.00002648162,0.00008525153,0.000022485634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033820714,0.0010204838,0.0006948002,0.0004445284,0.00034357878,0.0008423835,0.0005303222,0.000796821,0.001370732],"category_scores_gemma":[0.0011847408,0.0005512108,0.00056788104,0.00039706868,0.0003839261,0.0005891459,0.00071643136,0.0005222482,0.00042549075],"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":[0.00003490148,0.000014899878,0.00035755205,0.000044166125,0.000021477688,0.000052518993,0.000036298756,0.97021097,0.0076814466,0.0035027626,0.0006115551,0.017431539],"study_design_scores_gemma":[0.000004811477,0.00003879976,0.00013956484,0.000006610263,0.000006089845,0.00002518914,0.000024728855,0.99632984,0.0008401082,0.0019440821,0.0006361737,0.0000039677184],"about_ca_topic_score_codex":0.0031815579,"about_ca_topic_score_gemma":0.004788618,"teacher_disagreement_score":0.0031815579,"about_ca_system_score_codex":0.0006432545,"about_ca_system_score_gemma":0.000898797,"threshold_uncertainty_score":0.0063260794},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010929459,0.00055495446,0.9840755,0.0003231814,0.00012097178,0.000045283155,0.00008425272,0.0001269616,0.003739402],"genre_scores_gemma":[0.67327255,0.00097597635,0.31332076,0.00027494974,0.00024514945,0.00022351551,0.00023815282,0.00021029262,0.011238706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991905,0.00033135133,0.000039218066,0.00012270037,0.00017895192,0.00013730144],"domain_scores_gemma":[0.9965599,0.002477892,0.00020285176,0.00029144206,0.00030774757,0.00016014195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020709697,0.00086517644,0.0013211947,0.0008455769,0.00075230614,0.0014747805,0.0021781405,0.0013980716,0.004294361],"category_scores_gemma":[0.0096590575,0.00050852424,0.0007114137,0.0012032675,0.0010120899,0.0021988647,0.0021737432,0.0019879236,0.0005184584],"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":[0.000105323365,0.000047897844,0.00037696387,0.000073566065,0.000023752229,0.00003258536,0.00008139093,0.91324425,0.00046733057,0.044859055,0.003365053,0.03732285],"study_design_scores_gemma":[0.0000031143968,0.000008742583,0.000025265846,0.0000049813784,0.0000027181745,0.000005618668,0.000009092427,0.9925793,0.00007954108,0.006911737,0.00036799107,0.000001909136],"about_ca_topic_score_codex":0.0057617403,"about_ca_topic_score_gemma":0.0053293584,"teacher_disagreement_score":0.0057617403,"about_ca_system_score_codex":0.001719617,"about_ca_system_score_gemma":0.0013765908,"threshold_uncertainty_score":0.01436609},"labels":[],"label_agreement":null},{"id":"W4406560496","doi":"10.1016/j.adhoc.2024.103745","title":"Detection and Mitigation of Clock Deviation in the Verification &amp; 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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.741948,0.00023388934,0.2526854,0.00021953543,0.00013712756,0.00008422104,0.00016771731,0.0011225009,0.0034016746],"genre_scores_gemma":[0.98161846,0.00002372736,0.017757123,0.00002262192,0.000005061795,0.000011539246,0.000043444874,0.00001340927,0.0005047074],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990736,0.00016414745,0.000043099466,0.00014826616,0.0004158017,0.00015510326],"domain_scores_gemma":[0.9968106,0.0010981277,0.0006309307,0.00039816863,0.00091460213,0.00014746381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082729716,0.00045237795,0.0002956948,0.00079981715,0.0003246732,0.00045970164,0.0005488192,0.0004340258,0.0011563578],"category_scores_gemma":[0.005176611,0.00014788583,0.00012359806,0.00029653386,0.0004003276,0.00055319635,0.0006033318,0.00049866183,0.00029939902],"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":[0.004049835,0.00043879534,0.053918537,0.00031089378,0.00009851319,0.00064240134,0.0005384296,0.16639498,0.398717,0.005979733,0.001732884,0.36717805],"study_design_scores_gemma":[0.00007004884,0.0008908854,0.013764916,0.000042265947,0.000026672615,0.0003220409,0.000199452,0.7219005,0.2597252,0.0012824993,0.001743547,0.00003202656],"about_ca_topic_score_codex":0.0015632347,"about_ca_topic_score_gemma":0.0030068762,"teacher_disagreement_score":0.0015632347,"about_ca_system_score_codex":0.0003602056,"about_ca_system_score_gemma":0.0012578688,"threshold_uncertainty_score":0.0043752193},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004508544,0.00015316057,0.99193186,0.0001343792,0.00008080098,0.000015996024,0.00016573387,0.00075880165,0.0022506546],"genre_scores_gemma":[0.5148862,0.0008097488,0.4741971,0.00044328952,0.0003065372,0.0001373023,0.001408465,0.00022559478,0.0075857467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994168,0.00010887006,0.000031802418,0.0001703137,0.00020356235,0.000068610796],"domain_scores_gemma":[0.99923956,0.00020764676,0.0000783805,0.00016832753,0.00027370086,0.000032309144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520548,0.0010068887,0.00053049135,0.0007054002,0.00040627303,0.000776169,0.0011353228,0.0008799738,0.005031724],"category_scores_gemma":[0.0035546434,0.00035481332,0.0004807899,0.0008103039,0.00042053452,0.0015267667,0.0014732336,0.0012049967,0.0033468462],"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":[0.00025943713,0.000074470154,0.0027794032,0.00018193523,0.00006523294,0.0001659822,0.00009274423,0.33082303,0.029609669,0.016434148,0.007499077,0.6120149],"study_design_scores_gemma":[0.000013418683,0.000047696518,0.00059112156,0.000026626523,0.00001292163,0.00011367406,0.00002765464,0.977507,0.0070079863,0.00813444,0.0064987266,0.000018703251],"about_ca_topic_score_codex":0.003480436,"about_ca_topic_score_gemma":0.004483468,"teacher_disagreement_score":0.005031724,"about_ca_system_score_codex":0.00046956693,"about_ca_system_score_gemma":0.0007884308,"threshold_uncertainty_score":0.016832829},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010656647,0.000119207165,0.9880767,0.000035959587,0.0000152364,0.000017032642,0.000025734791,0.0002124204,0.0008411371],"genre_scores_gemma":[0.56283826,0.00035004536,0.43293622,0.00005447515,0.00005035697,0.00013360554,0.0001900782,0.000115323666,0.0033316081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981576,0.000044764864,0.0000074369277,0.00004586587,0.000055702858,0.000030632727],"domain_scores_gemma":[0.9998659,0.000048632905,0.000022076527,0.000012461467,0.000038151113,0.0000128105885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003734875,0.0005964905,0.00073205744,0.00044245526,0.0003341263,0.00047485385,0.0009440779,0.00042447087,0.0011736249],"category_scores_gemma":[0.0005188618,0.0003239741,0.00050193345,0.0005965877,0.0002751487,0.00062849134,0.0008474143,0.00039005742,0.00024296723],"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":[0.000035989135,0.000029762548,0.0005127542,0.000036028934,0.00003083629,0.000038370676,0.00002804414,0.9471582,0.0037395684,0.0029336805,0.00057127804,0.044885512],"study_design_scores_gemma":[0.000001991679,0.0000094056895,0.00006495826,0.0000015293338,0.0000036054846,0.000007482717,0.0000065282165,0.9988078,0.00024411897,0.00067094894,0.00017981435,0.0000017642404],"about_ca_topic_score_codex":0.0055085085,"about_ca_topic_score_gemma":0.006973847,"teacher_disagreement_score":0.0055085085,"about_ca_system_score_codex":0.0003161619,"about_ca_system_score_gemma":0.0007782232,"threshold_uncertainty_score":0.01095289},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025496315,0.00018536618,0.9956813,0.00011449994,0.000023452167,0.000029692608,0.000029745268,0.0009943986,0.0003919157],"genre_scores_gemma":[0.41107288,0.0005124131,0.5857942,0.00028227738,0.00012550195,0.00025627765,0.00036897737,0.0001424143,0.001445038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774915,0.0007174987,0.0001285215,0.00033675457,0.000923521,0.0001444003],"domain_scores_gemma":[0.9986456,0.0005662386,0.00014501218,0.00018052115,0.00039845065,0.000064226995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034277614,0.000901808,0.001363426,0.0015241585,0.0005726036,0.0011068501,0.0022801307,0.0010535582,0.00080575683],"category_scores_gemma":[0.0040337457,0.00034526768,0.0011892924,0.001301747,0.0010514926,0.0018566295,0.0018883321,0.0017603801,0.00036609173],"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":[0.00014369091,0.00015557032,0.002115008,0.00014684978,0.0001977128,0.000106853724,0.00019218252,0.70488614,0.0058618532,0.043166082,0.0033910684,0.23963696],"study_design_scores_gemma":[0.0000041537755,0.000028789998,0.00010007717,0.000004503994,0.000008999801,0.000020011617,0.0000064525234,0.99063814,0.0010159021,0.007201459,0.00096455816,0.0000069268463],"about_ca_topic_score_codex":0.0037608051,"about_ca_topic_score_gemma":0.0034228424,"teacher_disagreement_score":0.0037608051,"about_ca_system_score_codex":0.0013006682,"about_ca_system_score_gemma":0.0015211297,"threshold_uncertainty_score":0.018127918},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07992353,0.00023811955,0.9172357,0.00022816593,0.000043312266,0.000062443105,0.000017198798,0.00018961006,0.0020619994],"genre_scores_gemma":[0.9772199,0.000057423244,0.02209511,0.000037900874,0.000009172755,0.000036915335,0.000016381207,0.000009749256,0.0005174943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993887,0.00021314411,0.000031331303,0.00010646595,0.0001310457,0.00012930976],"domain_scores_gemma":[0.9981517,0.0010076897,0.00033695743,0.000093609335,0.00026943153,0.00014055427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012456754,0.00063016056,0.00082161603,0.00052453834,0.00041253926,0.00064566435,0.000949826,0.0006413614,0.0008832664],"category_scores_gemma":[0.0033544064,0.00028493872,0.00039734755,0.00032276282,0.0009146037,0.000933521,0.0009434561,0.00071073096,0.00007793648],"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":[0.00003509751,0.000040282845,0.00044204853,0.000017413278,0.000017482163,0.000031294614,0.00002805333,0.984877,0.0005655453,0.002679671,0.00016783574,0.01109824],"study_design_scores_gemma":[0.000002640952,0.00001392075,0.00003087632,0.000001079928,0.000002118223,0.0000038171415,0.000004048373,0.9991543,0.00008362668,0.000670006,0.00003218394,0.0000013734937],"about_ca_topic_score_codex":0.0046582925,"about_ca_topic_score_gemma":0.003842772,"teacher_disagreement_score":0.0046582925,"about_ca_system_score_codex":0.0011890262,"about_ca_system_score_gemma":0.0011529257,"threshold_uncertainty_score":0.009262323},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14257711,0.00032743232,0.8544037,0.00022936855,0.00008823141,0.000056430952,0.000034685032,0.00047982985,0.0018031377],"genre_scores_gemma":[0.9690814,0.00005641921,0.029823164,0.000031784875,0.000015809288,0.000039141913,0.00003065529,0.000015937689,0.00090572546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952877,0.00014205393,0.000025870115,0.000120333316,0.00012231867,0.000060666807],"domain_scores_gemma":[0.9989681,0.00047505714,0.000111137255,0.00010538392,0.00028467935,0.00005560953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008001831,0.00041666106,0.00075809547,0.0003416903,0.0004754492,0.00046093445,0.0010636825,0.00054165086,0.00038912077],"category_scores_gemma":[0.001850153,0.00031916707,0.00026934044,0.00045264626,0.00052303635,0.00083829614,0.00091332966,0.00056877756,0.00009931218],"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":[0.00011037846,0.00009439081,0.0011555451,0.000036138503,0.000038797323,0.000037450194,0.00006475802,0.9326277,0.005091133,0.0013195293,0.00053257344,0.058891717],"study_design_scores_gemma":[0.0000021459805,0.000012417691,0.000106230305,7.4404113e-7,0.000001778546,0.00000392657,0.0000058357,0.99909854,0.000467205,0.00025132977,0.000048181828,0.0000017833814],"about_ca_topic_score_codex":0.008553129,"about_ca_topic_score_gemma":0.0063316724,"teacher_disagreement_score":0.008553129,"about_ca_system_score_codex":0.0006558591,"about_ca_system_score_gemma":0.00089862064,"threshold_uncertainty_score":0.017006695},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021238351,0.0014056971,0.96822697,0.00046117944,0.00018997172,0.0006623981,0.00020452742,0.0029189622,0.004691922],"genre_scores_gemma":[0.60277134,0.0014504832,0.3860631,0.0005108316,0.00014634251,0.0012225013,0.00073502876,0.0001419763,0.006958386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943656,0.00019140844,0.000042018713,0.000051286235,0.00023078357,0.000047836184],"domain_scores_gemma":[0.99928313,0.00025497976,0.00009838073,0.00006984673,0.00024715607,0.000046465477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022528,0.00042673596,0.00065830455,0.0008184996,0.0005892574,0.0006451027,0.0016142419,0.00079100183,0.00079565035],"category_scores_gemma":[0.0021552725,0.00021473576,0.00035833532,0.00071774516,0.00044211393,0.00080808904,0.0011031575,0.00086666323,0.00027632277],"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":[0.0006556797,0.0004246005,0.0027863143,0.0009010271,0.00030179345,0.0006741894,0.0005826638,0.16188103,0.057275746,0.038950488,0.018789811,0.71677667],"study_design_scores_gemma":[0.00020935568,0.00058522215,0.0009570675,0.00005070231,0.00008505448,0.0005605524,0.00010628557,0.9272481,0.014096735,0.014375502,0.04165093,0.000074415286],"about_ca_topic_score_codex":0.0021038235,"about_ca_topic_score_gemma":0.0023351216,"teacher_disagreement_score":0.0021038235,"about_ca_system_score_codex":0.0005275865,"about_ca_system_score_gemma":0.0009816249,"threshold_uncertainty_score":0.0054077506},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4610014,0.0023998136,0.44979823,0.000763987,0.00043759527,0.00009674828,0.00033833293,0.0006597408,0.08450422],"genre_scores_gemma":[0.98005426,0.00025725423,0.012099041,0.00008030918,0.000022107934,0.0000136045155,0.000058763748,0.0000325777,0.0073820357],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.000018806173,0.0000032988914,0.00002151057,0.000035358113,0.000030282132],"domain_scores_gemma":[0.9998863,0.000039440292,0.00000812623,0.000020636491,0.000036703543,0.000008859323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010791251,0.00032010445,0.00024741187,0.00018564089,0.00029456284,0.00053328957,0.0005209876,0.00022107255,0.003392478],"category_scores_gemma":[0.00034043827,0.000085860935,0.00012043814,0.00037040302,0.00016896131,0.00056965643,0.00036428642,0.00020847461,0.0003509568],"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":[0.001156589,0.00050593395,0.0036520085,0.00037707723,0.00010767232,0.0006215126,0.00013052285,0.36313707,0.1444056,0.09282628,0.009595124,0.38348466],"study_design_scores_gemma":[0.000024108844,0.0003315736,0.0031017202,0.000042182444,0.00007253192,0.0004170705,0.0001441353,0.89667374,0.060808167,0.025619153,0.0127451895,0.000020440508],"about_ca_topic_score_codex":0.00044739537,"about_ca_topic_score_gemma":0.0010709822,"teacher_disagreement_score":0.003392478,"about_ca_system_score_codex":0.00027606575,"about_ca_system_score_gemma":0.0002223521,"threshold_uncertainty_score":0.011349022},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11424087,0.002200712,0.8658497,0.00046293458,0.0005354586,0.00034516002,0.00010551571,0.00094532495,0.015314324],"genre_scores_gemma":[0.93593735,0.00036003912,0.057888016,0.000112801514,0.000088746885,0.0000713621,0.00009959598,0.00003896636,0.0054030987],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996208,0.000042079555,0.000016158232,0.00007765566,0.00008244963,0.00016080194],"domain_scores_gemma":[0.9997292,0.000075208016,0.00002007875,0.00004714151,0.0000870491,0.00004138507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919103,0.00083995564,0.00097453536,0.00035803556,0.000771852,0.0008979586,0.0012248596,0.00068548904,0.0016845625],"category_scores_gemma":[0.0007160113,0.00027749152,0.00048523516,0.00036283594,0.0004032793,0.0010102435,0.001186973,0.00047182315,0.0002866944],"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":[0.0010518528,0.0005784672,0.004058569,0.00044490787,0.00015696589,0.0010882419,0.0006528406,0.375754,0.14242876,0.013886302,0.007086031,0.45281306],"study_design_scores_gemma":[0.000014035795,0.00016618487,0.0008755778,0.000017127588,0.00003208227,0.00022085651,0.00017099704,0.98761576,0.0069055688,0.0023456663,0.0016131309,0.000022975268],"about_ca_topic_score_codex":0.003558246,"about_ca_topic_score_gemma":0.007577718,"teacher_disagreement_score":0.003558246,"about_ca_system_score_codex":0.00029101805,"about_ca_system_score_gemma":0.0011509988,"threshold_uncertainty_score":0.0070750713},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007383814,0.7624526,0.1980794,0.003669876,0.0010148877,0.00009946351,0.00019430171,0.0002887612,0.026816944],"genre_scores_gemma":[0.07717675,0.84516513,0.06776629,0.0012565324,0.0024404123,0.00015270282,0.0004681819,0.00013837451,0.0054355734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899155,0.00027003654,0.00010521447,0.00021707338,0.000347405,0.00006883748],"domain_scores_gemma":[0.9979578,0.0013973969,0.00010834278,0.00012489517,0.00035905838,0.000052404383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600401,0.0014693289,0.0012023877,0.0021993753,0.0005278833,0.0023475138,0.0015842958,0.0014578389,0.002237424],"category_scores_gemma":[0.0026999256,0.000652112,0.0011126063,0.005865997,0.00076764857,0.0035643375,0.0011036872,0.002167034,0.0012007613],"study_design_candidate":"not_applicable","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":[0.00006880385,0.00019912906,0.0023821825,0.004872639,0.00016042244,0.00022187797,0.00018883536,0.04309291,0.0013481948,0.06202321,0.018673815,0.86676806],"study_design_scores_gemma":[0.000030564723,0.0003659062,0.0034941847,0.004244977,0.00023472767,0.0014461442,0.00045591168,0.24103525,0.0049672304,0.12344134,0.62008876,0.00019488625],"about_ca_topic_score_codex":0.0019274958,"about_ca_topic_score_gemma":0.0011906117,"teacher_disagreement_score":0.0023475138,"about_ca_system_score_codex":0.0009791679,"about_ca_system_score_gemma":0.0010875516,"threshold_uncertainty_score":0.0084638},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13660194,0.0006038322,0.8420736,0.00034345407,0.00058779446,0.00025690353,0.00020327102,0.0041403887,0.01518881],"genre_scores_gemma":[0.94517154,0.000103401166,0.049758475,0.00008714487,0.000052695734,0.000055157758,0.00015076638,0.00007079877,0.00454993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997738,0.000039859602,0.000007660455,0.00005710713,0.000047398997,0.00007416527],"domain_scores_gemma":[0.9997477,0.00006872474,0.000017253993,0.000054678243,0.00007487463,0.000036768764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506931,0.0005406639,0.0005323277,0.00033608658,0.00047919923,0.0005707608,0.0008339874,0.00028841718,0.0024627703],"category_scores_gemma":[0.00072205294,0.00016073484,0.0002411084,0.00030753072,0.00034999455,0.0006451436,0.0010307796,0.00047492873,0.00044857123],"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":[0.0013374046,0.00056390587,0.002131266,0.00026167,0.000104448765,0.0006920204,0.00030689454,0.41716337,0.05645326,0.017328532,0.018899387,0.48475787],"study_design_scores_gemma":[0.000020774756,0.00015429842,0.0002925976,0.000006209343,0.000013003847,0.00006846736,0.000064641354,0.99113023,0.0039629703,0.0023128889,0.0019618098,0.00001213172],"about_ca_topic_score_codex":0.0035246795,"about_ca_topic_score_gemma":0.0065469183,"teacher_disagreement_score":0.0035246795,"about_ca_system_score_codex":0.0002719878,"about_ca_system_score_gemma":0.0007275091,"threshold_uncertainty_score":0.008238792},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001747982,0.00008278372,0.9971826,0.00005011399,0.000027129023,0.000009183711,0.00003616932,0.00022476932,0.0006393374],"genre_scores_gemma":[0.4146301,0.0004552038,0.5755021,0.00022445124,0.0001765026,0.00017856475,0.0004649554,0.00015743039,0.008210763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931455,0.0001451223,0.00003272845,0.00018386725,0.00021082816,0.00011286304],"domain_scores_gemma":[0.99922717,0.00025940427,0.000060350667,0.00014884876,0.00024181881,0.00006243361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080731,0.00079263316,0.0010520011,0.0007329736,0.0005968784,0.0012303963,0.0029147577,0.0012175327,0.003547206],"category_scores_gemma":[0.0022687756,0.0004701362,0.00079236727,0.0011107911,0.0007557548,0.002272736,0.0028650668,0.0015556901,0.0010545859],"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":[0.00040843798,0.00025956696,0.0007558283,0.00014242725,0.00011415714,0.0001664465,0.00016098522,0.54872125,0.01082729,0.067195885,0.0049510556,0.36629668],"study_design_scores_gemma":[0.000007783608,0.000022553077,0.000046562636,0.000004313444,0.0000081074695,0.000024845485,0.000009146962,0.9899725,0.0009017605,0.00834423,0.0006502593,0.000007909622],"about_ca_topic_score_codex":0.008683084,"about_ca_topic_score_gemma":0.010990499,"teacher_disagreement_score":0.008683084,"about_ca_system_score_codex":0.00065439654,"about_ca_system_score_gemma":0.0017212026,"threshold_uncertainty_score":0.017265081},"labels":[],"label_agreement":null}]}