{"meta":{"query_hash":"4113ea26ee5a","filters":{"venue":"International Journal of Autonomous and Adaptive Communications Systems"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/4113ea26ee5a","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Autonomous+and+Adaptive+Communications+Systems"},"results":[{"id":"W1974614319","doi":"10.1504/ijaacs.2013.056823","title":"Cooperative sensing with transmit diversity based on randomised STBC in CR networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Throughput; Fading; Space–time block code; Transmit diversity; Antenna diversity; Channel (broadcasting); Coding (social sciences); Computer network; Coding gain; Diversity gain; Cooperative diversity; Outage probability; Algorithm; Telecommunications; Decoding methods; Wireless; Statistics; Mathematics","score_opus":0.019363702470032017,"score_gpt":0.23113693411659217,"score_spread":0.21177323164656014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974614319","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":[0.08310979,0.0012278116,0.9112331,0.00034974128,0.00006922503,0.000080307735,0.0000373704,0.00017892498,0.0037137466],"genre_scores_gemma":[0.9607148,0.00027704978,0.03822808,0.00006975577,0.000022892735,0.000057919027,0.000014515249,0.000006134636,0.0006089001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980818,0.00089447753,0.000069180336,0.00024956596,0.000507908,0.00019711742],"domain_scores_gemma":[0.9971655,0.001795358,0.00037926045,0.0001928579,0.00038524304,0.00008172724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295357,0.0005675012,0.0008801126,0.0004730983,0.00061672786,0.0008408068,0.0009777877,0.0008669395,0.0004236349],"category_scores_gemma":[0.004839821,0.0003707434,0.00037542608,0.0008368216,0.001353996,0.0009796624,0.0008975617,0.0005551412,0.00012667324],"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":[0.0002972072,0.00005611333,0.00049495505,0.00014036718,0.00007782886,0.00034558703,0.00022619324,0.90309256,0.017232649,0.047057662,0.00047408137,0.030504843],"study_design_scores_gemma":[0.000025626381,0.00007410213,0.00009274195,0.000007970346,0.000011573032,0.00008842607,0.000012837573,0.9906369,0.0012036585,0.0075899437,0.00024218936,0.0000141038345],"about_ca_topic_score_codex":0.0058635287,"about_ca_topic_score_gemma":0.004530926,"teacher_disagreement_score":0.0058635287,"about_ca_system_score_codex":0.00095900614,"about_ca_system_score_gemma":0.0011785193,"threshold_uncertainty_score":0.011658788},"labels":[],"label_agreement":null},{"id":"W1992675110","doi":"10.1504/ijaacs.2011.043479","title":"Dynamic parameter adjustment in a cognitive MAC protocol with transmission tax","year":2011,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Transmission (telecommunications); Node (physics); Data transmission; Protocol (science); Computer network; Cognition; Selection (genetic algorithm); Real-time computing; Telecommunications; Artificial intelligence; Neuroscience","score_opus":0.04266935432077692,"score_gpt":0.2949048576510152,"score_spread":0.2522355033302383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992675110","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":[0.12226198,0.0003941953,0.87314093,0.00026298512,0.00007967753,0.00012398357,0.000029129696,0.0004565577,0.0032506383],"genre_scores_gemma":[0.9647365,0.000112061745,0.034253992,0.00005054825,0.000025785928,0.00008274499,0.000015957066,0.000024945715,0.0006974658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993224,0.00016949492,0.000044075154,0.00014161358,0.00021310477,0.000109333785],"domain_scores_gemma":[0.9976599,0.0012440664,0.00035605152,0.0003922327,0.0002690077,0.00007862051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013069578,0.0006148132,0.00065382954,0.0006421666,0.000830401,0.0011617916,0.0014283193,0.0006655427,0.0005422669],"category_scores_gemma":[0.007404899,0.00038889528,0.00026667636,0.0007510476,0.0014023628,0.0015384956,0.0011596561,0.0010424734,0.000160166],"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":[0.000409275,0.00014038698,0.001682627,0.000071146016,0.00007328105,0.00036788883,0.00043488722,0.8437206,0.020252932,0.051635236,0.0008745545,0.08033711],"study_design_scores_gemma":[0.00003416275,0.000059893373,0.00022837557,0.000005570229,0.00001622162,0.00013596725,0.000026622449,0.98914987,0.0020608406,0.007562847,0.00069610006,0.00002355579],"about_ca_topic_score_codex":0.002709169,"about_ca_topic_score_gemma":0.0025664845,"teacher_disagreement_score":0.002709169,"about_ca_system_score_codex":0.00079076854,"about_ca_system_score_gemma":0.0012697653,"threshold_uncertainty_score":0.006911874},"labels":[],"label_agreement":null},{"id":"W2003678690","doi":"10.1504/ijaacs.2010.031088","title":"A secure service architecture to support wireless vehicular networks","year":2010,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Provisioning; Computer security; Software deployment; Architecture; Computer network; Service delivery framework; Certificate; Service (business); Public-key cryptography; Encryption; Business; Software engineering","score_opus":0.01175233036839397,"score_gpt":0.23825543320881287,"score_spread":0.2265031028404189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003678690","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":[0.01723143,0.0005412232,0.97116774,0.00081639894,0.0003017161,0.00028035705,0.000051783056,0.001748727,0.007860717],"genre_scores_gemma":[0.51351625,0.0015429304,0.4688989,0.00044143133,0.000246622,0.00048860273,0.0003996338,0.0003286729,0.014137058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989448,0.00021524116,0.00011351827,0.00014783535,0.0003973173,0.00018134287],"domain_scores_gemma":[0.9991115,0.00010228767,0.000076271455,0.00024202868,0.0003603872,0.00010756389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296289,0.0006605828,0.0004152754,0.00084750523,0.0014381134,0.0026685493,0.0015031319,0.0015463319,0.0014864944],"category_scores_gemma":[0.0018884257,0.00045534087,0.0006885992,0.0007331888,0.0013600904,0.0029993367,0.0027046339,0.002052495,0.0011949998],"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":[0.00017821783,0.00010818802,0.0010323899,0.00027523268,0.00006056309,0.0006975927,0.00092859945,0.069606476,0.03249485,0.78702843,0.0054709655,0.10211857],"study_design_scores_gemma":[0.000061488405,0.00042466464,0.00066546694,0.00014862756,0.00015174541,0.0012983973,0.00043163032,0.57164645,0.024010453,0.17745513,0.2235829,0.00012292434],"about_ca_topic_score_codex":0.0030290873,"about_ca_topic_score_gemma":0.0025666275,"teacher_disagreement_score":0.0030290873,"about_ca_system_score_codex":0.0013933271,"about_ca_system_score_gemma":0.0023623516,"threshold_uncertainty_score":0.010109365},"labels":[],"label_agreement":null},{"id":"W2035061388","doi":"10.1504/ijaacs.2014.058013","title":"A local search heuristic to solve the planning problem of 3G UMTS all-IP release 4 networks with realistic traffic","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; UMTS frequency bands; Heuristic; Local search (optimization); Mathematical optimization; Incremental heuristic search; Network planning and design; Search algorithm; Algorithm; Computer network; Beam search; Artificial intelligence; Mathematics","score_opus":0.02260417451414537,"score_gpt":0.25805607717984547,"score_spread":0.2354519026657001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035061388","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":[0.052163783,0.00045615013,0.9406529,0.00021176679,0.000040493327,0.00014704443,0.000082391125,0.0003844341,0.0058610677],"genre_scores_gemma":[0.6633375,0.0003292041,0.3334276,0.00009653804,0.000024893236,0.0003457008,0.00014150333,0.00007898834,0.002217979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997919,0.000103770515,0.000006464292,0.00002488835,0.000036190413,0.000036722307],"domain_scores_gemma":[0.99914014,0.0006911814,0.0000547175,0.000024591263,0.000060603965,0.000028802877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080106116,0.0005734108,0.0006791477,0.0006078389,0.00044719368,0.0005438365,0.00067134976,0.00075080787,0.0019174991],"category_scores_gemma":[0.001930441,0.00039541684,0.00051897654,0.00065475865,0.0005052822,0.00066886994,0.0005059412,0.00068585627,0.00020125078],"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":[0.000019868814,0.000018780369,0.00009103562,0.000022630755,0.000007372089,0.000030412928,0.0000166505,0.9907549,0.00022979478,0.001990435,0.0003302582,0.006487872],"study_design_scores_gemma":[0.000009865229,0.000025702282,0.00002783501,0.000004258659,0.0000040627688,0.00000837466,0.000012233903,0.99872476,0.00015422443,0.00082950114,0.0001968907,0.0000023312346],"about_ca_topic_score_codex":0.00671539,"about_ca_topic_score_gemma":0.00675547,"teacher_disagreement_score":0.00671539,"about_ca_system_score_codex":0.00087182457,"about_ca_system_score_gemma":0.00147635,"threshold_uncertainty_score":0.013352573},"labels":[],"label_agreement":null},{"id":"W2051500588","doi":"10.1504/ijaacs.2014.058015","title":"Performance of power allocation schemes in an amplify-and-forward single-relay system with diversity at destination","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Relay; Computer science; Wireless; Transmitter power output; Maximal-ratio combining; Outage probability; Power (physics); Channel (broadcasting); Diversity gain; Signal-to-noise ratio (imaging); Relay channel; Computer network; Fading; Telecommunications; Transmitter","score_opus":0.04082058897663592,"score_gpt":0.25382438909310323,"score_spread":0.2130038001164673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051500588","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":[0.83716196,0.00079525093,0.15384163,0.00023076101,0.00002403466,0.00007392204,0.00009176011,0.00019527959,0.007585367],"genre_scores_gemma":[0.99312854,0.0001107057,0.006219893,0.000015429629,0.0000042685715,0.000018830158,0.000014594776,0.00000610923,0.00048166738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988071,0.0005942973,0.00008908804,0.0001343985,0.00021772487,0.00015742687],"domain_scores_gemma":[0.99529666,0.0034040664,0.0005033228,0.00023532227,0.00047452608,0.000086193904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002092192,0.0007779188,0.00077309384,0.00044677703,0.00041104874,0.0010322778,0.00066257274,0.00086027215,0.0009495523],"category_scores_gemma":[0.00485074,0.00027480556,0.00033221036,0.0006191688,0.00095938204,0.0008548912,0.00070798467,0.00041984097,0.00024798763],"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":[0.0011539393,0.00013619353,0.0032635892,0.00015937357,0.00011268035,0.00023297619,0.00035123652,0.92229307,0.027561903,0.009665818,0.00027268374,0.0347965],"study_design_scores_gemma":[0.0000525921,0.00049507467,0.0014077108,0.000015016433,0.00004921614,0.0001607746,0.00008292709,0.9812531,0.013078046,0.003213164,0.00016921302,0.000023085804],"about_ca_topic_score_codex":0.001540614,"about_ca_topic_score_gemma":0.0015138297,"teacher_disagreement_score":0.002092192,"about_ca_system_score_codex":0.0008338347,"about_ca_system_score_gemma":0.00051069923,"threshold_uncertainty_score":0.011064708},"labels":[],"label_agreement":null},{"id":"W2079437050","doi":"10.1504/ijaacs.2014.058016","title":"On improving delay performance of IEEE 802.11p vehicular safety communication","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; University of Carthage","keywords":"Computer science; IEEE 802.11p; Computer network; Dedicated short-range communications; Network packet; Wireless; Vehicular ad hoc network; Wireless ad hoc network; Telecommunications","score_opus":0.011033200058907898,"score_gpt":0.21485282555858445,"score_spread":0.20381962549967655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079437050","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":[0.06624771,0.0038788987,0.9208064,0.00021294011,0.0002815714,0.00008637882,0.00003196535,0.0007562764,0.007697859],"genre_scores_gemma":[0.8701285,0.0021853223,0.12348874,0.00013520608,0.00014673344,0.000061696985,0.000102084494,0.000056189674,0.0036955387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917835,0.0002193818,0.00006688981,0.00015858075,0.000264159,0.000112499714],"domain_scores_gemma":[0.99894315,0.0003614321,0.00010172697,0.000107151514,0.00044954813,0.000037084286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011972357,0.0008648958,0.00029700692,0.00063868234,0.0004255962,0.0009374522,0.0009968498,0.000399294,0.0008481179],"category_scores_gemma":[0.002384195,0.0001946284,0.00018251257,0.00041117042,0.00035155204,0.0010581787,0.0005937022,0.0005423299,0.0004642124],"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":[0.00041116236,0.00027403023,0.0045496468,0.00053104747,0.00010082546,0.0002916711,0.00029915536,0.25456676,0.16220008,0.032364275,0.003159379,0.541252],"study_design_scores_gemma":[0.000045782446,0.0008254409,0.0009716497,0.000042200747,0.00008447659,0.0004453423,0.00010365856,0.89323837,0.07910768,0.0043190434,0.020768737,0.00004766686],"about_ca_topic_score_codex":0.0012629307,"about_ca_topic_score_gemma":0.0013816884,"teacher_disagreement_score":0.0012629307,"about_ca_system_score_codex":0.0005552097,"about_ca_system_score_gemma":0.0008687219,"threshold_uncertainty_score":0.006331682},"labels":[],"label_agreement":null},{"id":"W2089144876","doi":"10.1504/ijaacs.2014.058014","title":"CCA-MAP and iCCA-MAP: stationary and mobile WSN localisation algorithms","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Testbed; Wireless sensor network; Algorithm; Node (physics); Real-time computing; Computer network","score_opus":0.014861479252318517,"score_gpt":0.23938711260820106,"score_spread":0.22452563335588255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089144876","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":[0.004332817,0.00079591613,0.9904006,0.0002272829,0.00015768113,0.00006582337,0.00009214887,0.0011090373,0.0028187754],"genre_scores_gemma":[0.18839039,0.0017687383,0.79894817,0.00027106082,0.00022802841,0.00044827416,0.00074437086,0.00043062156,0.008770307],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993069,0.00016545456,0.00003621894,0.0001302339,0.0002901241,0.00007113364],"domain_scores_gemma":[0.9986431,0.00043150736,0.0001535201,0.00023731038,0.0004590324,0.0000755155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008819565,0.0009997598,0.0008889409,0.0015120439,0.00086059235,0.0011759856,0.001872445,0.001330282,0.0027622315],"category_scores_gemma":[0.0044035423,0.00038282585,0.0009038983,0.0020539048,0.0010281957,0.0019362192,0.0021415846,0.0014533431,0.0019972879],"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":[0.00033147362,0.00010004397,0.0026607518,0.00045849185,0.0001362816,0.0003399259,0.0003535894,0.33711204,0.012067069,0.0705661,0.021087749,0.5547864],"study_design_scores_gemma":[0.00005943914,0.00016044696,0.0011190103,0.00006719542,0.000040567,0.00066551706,0.00014979125,0.9195762,0.008991402,0.02663317,0.042453326,0.000083927735],"about_ca_topic_score_codex":0.0034534512,"about_ca_topic_score_gemma":0.003457062,"teacher_disagreement_score":0.0034534512,"about_ca_system_score_codex":0.0006625383,"about_ca_system_score_gemma":0.0014598005,"threshold_uncertainty_score":0.009240568},"labels":[],"label_agreement":null},{"id":"W2101511734","doi":"10.1504/ijaacs.2011.043480","title":"Securing RDS broadcast messages for smart grid applications","year":2011,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Elliptic Curve Digital Signature Algorithm; Computer science; Computer network; Overhead (engineering); Digital signature; Authentication (law); Bandwidth (computing); Cryptography; Wireless; Message authentication code; Bootstrapping (finance); Public-key cryptography; Elliptic curve cryptography; Computer security; Hash function; Telecommunications; Encryption","score_opus":0.07550344590572314,"score_gpt":0.3097827743282302,"score_spread":0.23427932842250707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101511734","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5309191,0.0015096007,0.43990657,0.001071344,0.00024416065,0.00064305164,0.00036909306,0.0070377775,0.018299302],"genre_scores_gemma":[0.97034574,0.00020589287,0.026894988,0.00004863636,0.00002847084,0.00006676985,0.00016049134,0.000052165713,0.0021968125],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989267,0.00038870465,0.00006763008,0.000056498102,0.00046987488,0.00009057244],"domain_scores_gemma":[0.9968065,0.0011871402,0.00048185422,0.0008481827,0.00058845995,0.000087921384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576874,0.00045592175,0.00051313045,0.00055416656,0.0005061501,0.0009980543,0.00063187006,0.0008023695,0.0043451292],"category_scores_gemma":[0.0061104237,0.00015005001,0.00017629254,0.00045728672,0.00040942265,0.0015111413,0.000805988,0.0005676662,0.0013061496],"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":[0.0063938443,0.0006079715,0.013246793,0.001133087,0.00016682172,0.0009083594,0.0010865042,0.08050604,0.27987882,0.044438947,0.009188808,0.5624441],"study_design_scores_gemma":[0.0005183193,0.0027727024,0.0083390875,0.00014353133,0.00014401726,0.001467652,0.0005726326,0.66020304,0.26939923,0.021638872,0.034710936,0.00008993997],"about_ca_topic_score_codex":0.00033487412,"about_ca_topic_score_gemma":0.00029383332,"teacher_disagreement_score":0.0043451292,"about_ca_system_score_codex":0.0005659016,"about_ca_system_score_gemma":0.00045590504,"threshold_uncertainty_score":0.014535844},"labels":[],"label_agreement":null},{"id":"W2104417207","doi":"10.1504/ijaacs.2009.024281","title":"Differential sensing in cognitive personal area networks with bursty secondary traffic and varying primary activity factor","year":2009,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cognitive radio; Channel (broadcasting); Idle; Probabilistic logic; Set (abstract data type); Transmission (telecommunications); Computer network; Differential (mechanical device); Real-time computing; Telecommunications; Wireless; Artificial intelligence","score_opus":0.027144028961987716,"score_gpt":0.2539145155949036,"score_spread":0.22677048663291585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104417207","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":[0.5133387,0.00083443435,0.4826759,0.00034094887,0.000040875508,0.00004950429,0.00004994064,0.0001436672,0.0025259906],"genre_scores_gemma":[0.9956286,0.00011212057,0.00400404,0.000017240058,0.000012397314,0.000014481769,0.0000072488265,0.00000331439,0.00020058994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987024,0.00040032255,0.00005382905,0.0002221782,0.0003584067,0.00026293134],"domain_scores_gemma":[0.9906026,0.0074150856,0.00089210697,0.0003785926,0.00049656216,0.00021498074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002953614,0.00052393693,0.00080862624,0.0006710338,0.00057384546,0.00095614535,0.0013719845,0.0007443236,0.00028165546],"category_scores_gemma":[0.011489944,0.0006499741,0.00030596205,0.0006674315,0.0016802577,0.0013368038,0.0011520468,0.00050650025,0.00005626523],"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":[0.00041677133,0.00009719168,0.0072153895,0.00013530713,0.00008266159,0.0009797569,0.00042766196,0.9285815,0.010056362,0.027762307,0.0003354002,0.023909772],"study_design_scores_gemma":[0.000012086753,0.000049971753,0.0011181944,0.000004816002,0.000014174604,0.00016770374,0.00004981511,0.9878522,0.00065837585,0.009964101,0.00009698748,0.000011563679],"about_ca_topic_score_codex":0.0029127821,"about_ca_topic_score_gemma":0.0021631862,"teacher_disagreement_score":0.002953614,"about_ca_system_score_codex":0.0012080916,"about_ca_system_score_gemma":0.0006449626,"threshold_uncertainty_score":0.01562041},"labels":[],"label_agreement":null},{"id":"W2111326466","doi":"10.1504/ijaacs.2014.058018","title":"Clock synchronisation in WSN: simulation vs. implementation","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Testbed; Computer science; Wireless sensor network; MATLAB; Real-time computing; Protocol (science); Clock synchronization; Embedded system; Synchronization (alternating current); Computer network; Operating system; Channel (broadcasting)","score_opus":0.02368120525068111,"score_gpt":0.30235252725638767,"score_spread":0.27867132200570655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111326466","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":[0.74127465,0.0012803441,0.23536296,0.0005935101,0.00021856737,0.00022798049,0.0007248356,0.0019750956,0.018342163],"genre_scores_gemma":[0.95424867,0.00055912224,0.043862622,0.000026491296,0.0000123936015,0.0001231131,0.0002438093,0.00008419775,0.00083965063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993604,0.00029472218,0.00004934987,0.000057023994,0.00018261447,0.000055881756],"domain_scores_gemma":[0.9972682,0.0018753406,0.00016626404,0.000268414,0.0003847248,0.000037058355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013716938,0.00029557841,0.0002977912,0.0003578477,0.00018271296,0.00043917634,0.00044861226,0.00038435677,0.0012240777],"category_scores_gemma":[0.0055657164,0.00017219089,0.00023468654,0.0007370829,0.0002624114,0.0006498676,0.00029485702,0.0004539553,0.00016914234],"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":[0.000313218,0.00015944804,0.005127229,0.0002859849,0.000042604453,0.000084504405,0.00011789746,0.9452501,0.0075720986,0.005765064,0.0009487596,0.03433309],"study_design_scores_gemma":[0.000035135545,0.00022239472,0.0011678305,0.00003871122,0.000023460494,0.00003960161,0.000068315974,0.98646903,0.009447405,0.00074519875,0.0017314933,0.000011368786],"about_ca_topic_score_codex":0.0041171196,"about_ca_topic_score_gemma":0.0026576133,"teacher_disagreement_score":0.0041171196,"about_ca_system_score_codex":0.00039918168,"about_ca_system_score_gemma":0.00045161854,"threshold_uncertainty_score":0.00818634},"labels":[],"label_agreement":null},{"id":"W2114429354","doi":"10.1504/ijaacs.2009.024284","title":"Energy-efficient routing in mobile ad hoc networks: a cautionary tale","year":2009,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Routing protocol; Optimized Link State Routing Protocol; Wireless Routing Protocol; Link-state routing protocol; Zone Routing Protocol; Dynamic Source Routing; Distributed computing; Mobile ad hoc network; Destination-Sequenced Distance Vector routing; Routing (electronic design automation)","score_opus":0.016862807541975854,"score_gpt":0.2606780453091635,"score_spread":0.24381523776718764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114429354","genre_codex":"commentary","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":[0.0044062706,0.12940718,0.057721168,0.76298785,0.034352113,0.00007139737,0.00016654316,0.0005435942,0.01034385],"genre_scores_gemma":[0.121598944,0.21165043,0.12954426,0.37842014,0.11913709,0.00041224947,0.00016733579,0.00076212204,0.038307466],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949189,0.0020228755,0.0004259977,0.00055781036,0.0019433814,0.00013096107],"domain_scores_gemma":[0.9729053,0.019655993,0.00068531226,0.0026863217,0.0037373363,0.00032975682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076949657,0.0011361197,0.0015818727,0.0010156657,0.0023194763,0.005442049,0.0044882186,0.0068426244,0.0016861567],"category_scores_gemma":[0.031837154,0.0005194222,0.0008475719,0.0015636985,0.009984965,0.013201294,0.002777913,0.026019495,0.002794604],"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":[0.0004104782,0.00017619706,0.0024634767,0.0029052298,0.00043449324,0.0019014172,0.0018617031,0.0096845515,0.0074071772,0.2511953,0.43727243,0.2842876],"study_design_scores_gemma":[0.00007226058,0.00037539468,0.001289365,0.0012938618,0.000114246126,0.0021981872,0.0010597905,0.0076960195,0.0028046365,0.4557319,0.5271332,0.00023114542],"about_ca_topic_score_codex":0.0019048159,"about_ca_topic_score_gemma":0.0028611217,"teacher_disagreement_score":0.0076949657,"about_ca_system_score_codex":0.0011368932,"about_ca_system_score_gemma":0.0007999163,"threshold_uncertainty_score":0.04069531},"labels":[],"label_agreement":null},{"id":"W2125700385","doi":"10.1504/ijaacs.2013.050689","title":"Designing a passive brain computer interface using real time classification of functional near-infrared spectroscopy","year":2012,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":40,"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":"Natural Sciences and Engineering Research Council of Canada; U.S. Air Force; Microsoft Research; National Science Foundation","keywords":"Computer science; Brain–computer interface; Interface (matter); Functional near-infrared spectroscopy; Adaptation (eye); Workload; Human–computer interaction; Task (project management); User interface; Artificial intelligence; Online and offline; Pattern recognition (psychology); Electroencephalography; Cognition; Operating system","score_opus":0.07852088703932579,"score_gpt":0.32046884942297665,"score_spread":0.24194796238365085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125700385","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":[0.0598929,0.000094603616,0.9356748,0.00011286379,0.0000782218,0.00040100713,0.000084970765,0.0027018955,0.00095876056],"genre_scores_gemma":[0.25705633,0.00010992773,0.73936486,0.00021798555,0.00007159556,0.00044187755,0.00018129202,0.00022305748,0.002333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993767,0.000116746836,0.00005748917,0.0002075242,0.00019371683,0.000047817448],"domain_scores_gemma":[0.99877924,0.00049759814,0.00008773545,0.00016567265,0.00039522428,0.00007456819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009966946,0.0008387187,0.0005806109,0.0004918236,0.00026112335,0.00095816853,0.0014115343,0.0009505208,0.0022605697],"category_scores_gemma":[0.0032268187,0.00035812292,0.00028354712,0.00029689964,0.00039410047,0.0013152449,0.0005349911,0.00049302424,0.001172732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046278237,0.00047375832,0.004285451,0.0003296598,0.000094669966,0.00023273766,0.00030884703,0.004038464,0.7122714,0.0012776862,0.002203706,0.27402082],"study_design_scores_gemma":[0.0002825381,0.0027699524,0.02291646,0.000060446535,0.00022992573,0.0028960528,0.00014835772,0.37674096,0.5725486,0.0033434862,0.017884286,0.00017887373],"about_ca_topic_score_codex":0.0005620142,"about_ca_topic_score_gemma":0.00067869184,"teacher_disagreement_score":0.0022605697,"about_ca_system_score_codex":0.00019753315,"about_ca_system_score_gemma":0.00036735344,"threshold_uncertainty_score":0.0075623393},"labels":[],"label_agreement":null},{"id":"W2166280974","doi":"10.1504/ijaacs.2013.056618","title":"On the contribution of power variance in PAPR reduction for OFDM signals","year":2013,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orthogonal frequency-division multiplexing; Reduction (mathematics); Computer science; Power (physics); Variance (accounting); Argument (complex analysis); Telecommunications; Electronic engineering; Mathematics; Engineering; Economics","score_opus":0.02382230138025145,"score_gpt":0.263560278387783,"score_spread":0.23973797700753155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166280974","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":[0.048600886,0.0034098746,0.9343018,0.00042768836,0.00015043322,0.00004255418,0.000049054077,0.00052295066,0.0124947755],"genre_scores_gemma":[0.85846037,0.003995799,0.13355963,0.0002534074,0.00027192658,0.0000560115,0.000110688175,0.00033642416,0.002955644],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996944,0.0010855927,0.00009679367,0.00039343836,0.0013442938,0.00013595141],"domain_scores_gemma":[0.98956037,0.008485223,0.00031698256,0.0007988739,0.0007989768,0.000039648163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002776871,0.00092440716,0.00058808,0.0010125109,0.00036076267,0.0009987145,0.00071211066,0.0009110312,0.0010676291],"category_scores_gemma":[0.01832853,0.00026512335,0.00043366355,0.001243769,0.0010375467,0.0016568037,0.000823879,0.0009807831,0.00044796552],"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":[0.00056588725,0.00017386401,0.0069196853,0.00061242573,0.00018882535,0.00084734627,0.00053050433,0.3833578,0.058415215,0.07516254,0.0015376499,0.47168815],"study_design_scores_gemma":[0.00002278548,0.0007802821,0.008501167,0.00014885399,0.00013785268,0.0025840984,0.00013561145,0.884505,0.057741247,0.03798114,0.0073542823,0.000107710606],"about_ca_topic_score_codex":0.0006163744,"about_ca_topic_score_gemma":0.00045555446,"teacher_disagreement_score":0.002776871,"about_ca_system_score_codex":0.0003676318,"about_ca_system_score_gemma":0.00033026008,"threshold_uncertainty_score":0.01468569},"labels":[],"label_agreement":null},{"id":"W2527867434","doi":"10.1504/ijaacs.2016.079624","title":"An ontology driven privacy framework for collaborative working environments","year":2016,"lang":"en","type":"article","venue":"International Journal of Autonomous and Adaptive Communications Systems","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Ontology; Privacy software; Process (computing); Work (physics); Domain (mathematical analysis); Information privacy; Privacy by Design; Computer security; Internet privacy; World Wide Web","score_opus":0.07322609106920909,"score_gpt":0.35778964190320495,"score_spread":0.28456355083399587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527867434","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":[0.0015192034,0.00022377542,0.98838043,0.0017437133,0.00009732295,0.00028335192,0.00019874927,0.0005117529,0.0070416885],"genre_scores_gemma":[0.05571738,0.0007233119,0.9357725,0.00055147085,0.00010488891,0.00069843134,0.0008394703,0.00017568201,0.0054170024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9853969,0.005922293,0.00195851,0.0015941832,0.003975747,0.0011523679],"domain_scores_gemma":[0.99214315,0.0025696622,0.0007598138,0.0020774396,0.0015198813,0.00093006087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01666254,0.0009770558,0.0009756451,0.0029268085,0.0051195137,0.010361803,0.0051252707,0.004607179,0.0024699408],"category_scores_gemma":[0.010769754,0.0011962821,0.003752295,0.0034749121,0.0060782568,0.012165085,0.009602661,0.0060911556,0.0011225978],"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":[0.000017673925,0.000061960505,0.00036705856,0.00013955442,0.000031289845,0.00039501634,0.0022356962,0.009904062,0.0008782181,0.96623224,0.0031850513,0.016552249],"study_design_scores_gemma":[0.000039666058,0.000051389095,0.0004255151,0.000303715,0.00007312185,0.0010509668,0.001945243,0.083009824,0.002211411,0.6379968,0.27279228,0.000100030775],"about_ca_topic_score_codex":0.01796568,"about_ca_topic_score_gemma":0.015121216,"teacher_disagreement_score":0.01796568,"about_ca_system_score_codex":0.0044047674,"about_ca_system_score_gemma":0.012032781,"threshold_uncertainty_score":0.088121},"labels":[],"label_agreement":null}]}