{"meta":{"query_hash":"491475cd6e9d","filters":{"venue":"Journal of Network and Computer Applications"},"cohort_total":75,"direct_labels_cover":0,"predictions_cover":75,"exported":75,"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/491475cd6e9d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Network+and+Computer+Applications"},"results":[{"id":"W11332215","doi":"10.1016/j.jnca.2010.03.019","title":"Special issue on: Recent advances and future directions in biometrics personal identification","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Biometric Identification and Security","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 Waterloo","funders":"","keywords":"Computer science; Biometrics; Identification (biology); Data science; Computer security","score_opus":0.011090957049451913,"score_gpt":0.2596469420534914,"score_spread":0.24855598500403953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W11332215","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01500424,0.014495025,0.93291456,0.022424268,0.012196468,0.0007254184,0.00001367227,0.00008393144,0.002142398],"genre_scores_gemma":[0.15662974,0.22222374,0.3548094,0.003485099,0.26183665,0.00019492419,0.000044745044,0.00006197831,0.00071375346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989682,0.00004295291,0.00039222877,0.0002283594,0.00023162978,0.00013663279],"domain_scores_gemma":[0.9990792,0.00011934175,0.00027346527,0.00019590413,0.00021237499,0.00011969118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000745,0.000094428404,0.00014968052,0.00063014793,0.00020647871,0.00024840693,0.0003154862,0.00007675549,0.00002140397],"category_scores_gemma":[0.000009677479,0.00008526933,0.00003868578,0.0026673586,0.00006141173,0.00033545605,0.00006570204,0.0003388903,0.000007261168],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042959146,0.00011795062,0.00062225456,0.0000067725146,0.0000076095907,0.0000011772589,0.00028886317,0.000007945149,0.000014088503,0.014215607,0.008072111,0.9766413],"study_design_scores_gemma":[0.00019587585,0.00004298241,0.043562014,0.000005278565,0.0000055645314,0.000073143536,0.000024236933,0.0053092903,0.000007653978,0.0020063594,0.94868326,0.00008434535],"about_ca_topic_score_codex":0.000001169945,"about_ca_topic_score_gemma":0.000013481882,"teacher_disagreement_score":0.97655696,"about_ca_system_score_codex":0.0000229831,"about_ca_system_score_gemma":0.000038412833,"threshold_uncertainty_score":0.34771824},"labels":[],"label_agreement":null},{"id":"W1472690358","doi":"10.1016/j.jnca.2016.07.010","title":"Large profits or fast gains: A dilemma in maximizing throughput with applications to network processors","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":4,"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":"Israel Science Foundation","keywords":"Computer science; Network packet; Throughput; Queue; Network processor; Bounded function; Distributed computing; Computer network; Telecommunications; Wireless","score_opus":0.0280685812183043,"score_gpt":0.2860164329686443,"score_spread":0.25794785175034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1472690358","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006141399,0.00017292911,0.99431384,0.0036321743,0.000045465044,0.0009538582,0.0000030062104,0.000051864383,0.00021275585],"genre_scores_gemma":[0.15374891,0.00046266682,0.8413175,0.0019263809,0.0014067552,0.0008413336,0.0000031860022,0.00003161456,0.00026166972],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831164,0.000072730036,0.0005249605,0.00034270593,0.00028450403,0.0004634833],"domain_scores_gemma":[0.9985834,0.00016786852,0.00029028527,0.00036279188,0.00034549882,0.00025015636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000535871,0.00016885895,0.00027586694,0.00014147087,0.0002526178,0.00019355104,0.0007156691,0.00005720894,0.000007323628],"category_scores_gemma":[0.0000052141204,0.000100808895,0.00004230379,0.0014569683,0.00004268381,0.00051365717,0.00025683947,0.0001795314,0.0000121243975],"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":[0.00017673003,0.0006711497,0.0119934995,0.00010225873,0.00013650542,0.00003070017,0.002365435,0.1950881,0.000030782157,0.28873974,0.012875928,0.48778915],"study_design_scores_gemma":[0.0046979766,0.0013894022,0.012283992,0.0013343933,0.000043547665,0.0005554608,0.00011479284,0.20221823,0.000017265085,0.025979523,0.7503663,0.000999162],"about_ca_topic_score_codex":0.0000013164786,"about_ca_topic_score_gemma":0.000034399003,"teacher_disagreement_score":0.7374903,"about_ca_system_score_codex":0.000049422546,"about_ca_system_score_gemma":0.00015255662,"threshold_uncertainty_score":0.41108674},"labels":[],"label_agreement":null},{"id":"W1889478954","doi":"10.1016/j.jnca.2015.09.005","title":"Taxonomy of Distributed Denial of Service mitigation approaches for cloud computing","year":2015,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Ericsson (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Denial-of-service attack; Cloud computing; Trinoo; Computer science; Computer security; Application layer DDoS attack; Service (business); The Internet; World Wide Web; Business","score_opus":0.047414225603456206,"score_gpt":0.24146708275620649,"score_spread":0.19405285715275028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1889478954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024829922,0.00032029054,0.973793,0.00041679075,0.00027925058,0.00031016566,0.000004578842,0.000013098718,0.000032883003],"genre_scores_gemma":[0.7417149,0.000016625161,0.25672773,0.00009943648,0.0014098185,0.000017345244,0.0000081799035,0.000004625631,0.0000013264572],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989557,0.00005733671,0.0005605475,0.00013319432,0.00016619984,0.00012700101],"domain_scores_gemma":[0.9982714,0.00016719328,0.0007336156,0.00017897175,0.0005452174,0.00010360829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005345746,0.000087960754,0.0002496702,0.000061816936,0.000092873444,0.000040041836,0.0003688597,0.000060452712,4.201457e-7],"category_scores_gemma":[0.0000055066457,0.00008169281,0.00007938402,0.00046525156,0.000041059866,0.00020552744,0.00012959079,0.0001091475,3.281492e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018212575,0.0004664483,0.001847344,0.00023672965,0.00023012211,0.0000010344895,0.0016419118,0.26195505,0.000111814516,0.21021946,0.017155576,0.50595236],"study_design_scores_gemma":[0.00079628255,0.00031503386,0.0011247264,0.00007473904,0.00003611447,0.000062584644,0.000039549148,0.95092916,0.00023141319,0.019760791,0.026519323,0.00011030141],"about_ca_topic_score_codex":0.000005777524,"about_ca_topic_score_gemma":0.00000474679,"teacher_disagreement_score":0.7170653,"about_ca_system_score_codex":0.000019677624,"about_ca_system_score_gemma":0.0000756852,"threshold_uncertainty_score":0.3331336},"labels":[],"label_agreement":null},{"id":"W1963868745","doi":"10.1016/j.jnca.2005.10.001","title":"Detecting feature interactions in CPL","year":2005,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":10,"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; Scripting language; Feature (linguistics); Prolog; Programming language; Representation (politics); Logic programming; Simple (philosophy); Natural language processing; Artificial intelligence","score_opus":0.023627862757129033,"score_gpt":0.2975040217697821,"score_spread":0.27387615901265305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963868745","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014664304,0.00074631564,0.99640816,0.0010327388,0.00018764741,0.00006367486,1.615086e-7,0.000048519218,0.000046370875],"genre_scores_gemma":[0.086362004,0.000078180135,0.9124651,0.00015667468,0.0009022631,0.000009426967,1.6131999e-7,0.0000043920054,0.000021815018],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941367,0.000042215514,0.00022212279,0.000112343405,0.00007439385,0.00013527955],"domain_scores_gemma":[0.9991373,0.00044352413,0.00014330671,0.00016319138,0.000061601844,0.000051067196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029539195,0.000072327806,0.00013441403,0.00009864531,0.000070774375,0.00005519826,0.0003144482,0.000024529014,6.5147844e-7],"category_scores_gemma":[0.000015376023,0.00006540019,0.000038061076,0.0003397987,0.000013931647,0.00035245976,0.000108648324,0.00031155164,0.0000015931255],"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":[0.0000020049658,0.00002033528,0.0003565021,0.0000035295138,0.000009670355,0.0000027889778,0.00019599647,0.39547092,0.000047835074,0.0047700903,0.00080334937,0.59831697],"study_design_scores_gemma":[0.00080949557,0.00015382256,0.027316328,0.00019587774,0.000020260219,0.0014543863,0.000048855076,0.53104395,0.00015864642,0.055182744,0.38315228,0.00046336386],"about_ca_topic_score_codex":4.4404192e-7,"about_ca_topic_score_gemma":0.000005416041,"teacher_disagreement_score":0.5978536,"about_ca_system_score_codex":0.000037095604,"about_ca_system_score_gemma":0.000016934195,"threshold_uncertainty_score":0.26669425},"labels":[],"label_agreement":null},{"id":"W1964118193","doi":"10.1016/j.jnca.2011.03.008","title":"SONR: A reliable reputation system of self-organized network","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Access Control and Trust","field":"Social Sciences","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":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Reputation; Scalability; Robustness (evolution); Fault tolerance; Distributed computing; Computer network; The Internet; Computer security; Reputation system; World Wide Web; Database","score_opus":0.013801072899674808,"score_gpt":0.23993182559284448,"score_spread":0.22613075269316968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964118193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027420405,0.0027837898,0.94631064,0.00046892912,0.00081270677,0.0006879928,0.000001779417,0.00012006704,0.021393666],"genre_scores_gemma":[0.94690853,0.00029864942,0.050403167,0.00007267384,0.0022515806,0.000012341714,7.5454193e-7,0.000007147459,0.000045159162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907666,0.00008151596,0.0004077871,0.00009206013,0.00017356992,0.00016841259],"domain_scores_gemma":[0.9988835,0.00008664587,0.00052912784,0.0001047491,0.00029636122,0.00009963327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066905684,0.00006502866,0.00021604935,0.000033156906,0.00032804967,0.000038385788,0.00020131392,0.000060714494,0.000016505404],"category_scores_gemma":[0.0000031642226,0.00005597132,0.00006282122,0.0003405171,0.000056054723,0.00016108368,0.000033569446,0.0001004845,0.000003844302],"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":[0.00016989806,0.00040041129,0.047314253,0.000107761414,0.00051063776,0.0000137307015,0.014969385,0.005651494,0.000009498913,0.82878906,0.028515272,0.07354863],"study_design_scores_gemma":[0.005687076,0.0010471205,0.15715785,0.00089772156,0.0013954944,0.00025726444,0.005538406,0.05792098,0.000031770916,0.12370863,0.64525753,0.001100133],"about_ca_topic_score_codex":0.00007780466,"about_ca_topic_score_gemma":0.000019718796,"teacher_disagreement_score":0.91948813,"about_ca_system_score_codex":0.00002876838,"about_ca_system_score_gemma":0.00009188063,"threshold_uncertainty_score":0.2523126},"labels":[],"label_agreement":null},{"id":"W1964957542","doi":"10.1016/j.jnca.2010.10.013","title":"An overlay network for autonomous information discovery in the post-composition registries of ambient networks","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Computer science; Overlay network; Computer network; Composition (language); Context (archaeology); Core network; Database; Key (lock); Scalability; World Wide Web; Computer security; The Internet","score_opus":0.0055909860975048385,"score_gpt":0.2320570477649222,"score_spread":0.22646606166741737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964957542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042190272,0.00014387014,0.9537844,0.00266231,0.0004207505,0.00071719673,0.000005397464,0.00004431833,0.000031482792],"genre_scores_gemma":[0.79052824,0.0000475183,0.20733605,0.00096030714,0.00097620673,0.00012503227,0.000018217368,0.0000061416304,0.0000023047858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854696,0.000058838385,0.00069053844,0.00017353121,0.00022785817,0.0003022498],"domain_scores_gemma":[0.9981249,0.00031573372,0.0005877301,0.00060053886,0.0002957458,0.00007536587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009522585,0.00015193851,0.00026783082,0.00013864509,0.00020622672,0.0003730424,0.0012901098,0.00011496306,3.1860716e-7],"category_scores_gemma":[0.00000824231,0.0001159519,0.000091296,0.000717236,0.00008767722,0.0012546338,0.00016328522,0.0003822084,5.456571e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081714,0.00019038562,0.0024494643,0.000020698924,0.000042557138,0.0000022503093,0.0008331393,0.49339718,0.0001396924,0.25132918,0.018989285,0.23252447],"study_design_scores_gemma":[0.0009353132,0.0013550903,0.10320516,0.00012357843,0.00005205121,0.00030441355,0.000099145545,0.7604265,0.00006856243,0.033106364,0.099897295,0.00042652644],"about_ca_topic_score_codex":0.000009010818,"about_ca_topic_score_gemma":0.000034250646,"teacher_disagreement_score":0.7483379,"about_ca_system_score_codex":0.000025978492,"about_ca_system_score_gemma":0.00007108416,"threshold_uncertainty_score":0.4728381},"labels":[],"label_agreement":null},{"id":"W1981184823","doi":"10.1016/j.jnca.2012.05.006","title":"Quantifying connectivity in wireless sensor networks with grid-based deployments","year":2012,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":66,"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":"Computer science; Wireless sensor network; Grid; Software deployment; Metric (unit); Distributed computing; Wireless; Wireless network; Real-time computing; Computer network; Telecommunications; Mathematics","score_opus":0.019189094991270868,"score_gpt":0.24668440577495968,"score_spread":0.22749531078368881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981184823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15367524,0.00059102825,0.84491366,0.00020133008,0.0003513602,0.00017966537,3.6513055e-7,0.000044234963,0.000043142438],"genre_scores_gemma":[0.8708453,0.00007166369,0.12736844,0.00035400703,0.001316999,0.000021597418,0.0000017046083,0.00001728097,0.0000030164315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982897,0.00016566661,0.00047613957,0.00025390091,0.00028433715,0.0005302304],"domain_scores_gemma":[0.9983927,0.0004293591,0.0004325813,0.00036476785,0.00014025324,0.00024031343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006499852,0.00020486848,0.0003506107,0.00014759148,0.00018454566,0.00013053438,0.0004842471,0.000092509355,0.0000011293688],"category_scores_gemma":[0.0000019567906,0.00016902536,0.00006971761,0.0008187991,0.00006634148,0.00040309702,0.00012417388,0.00039390294,0.0000015160765],"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":[0.000025303289,0.00025487287,0.101971805,0.000009603403,0.00003378251,0.000011279285,0.00007576668,0.867584,0.000010948225,0.008440242,0.00032686864,0.021255564],"study_design_scores_gemma":[0.00079394307,0.00012041877,0.051013846,0.00013379981,0.000019979161,0.00016518125,0.000009111527,0.9451124,0.000029995215,0.00003790701,0.002328174,0.00023526435],"about_ca_topic_score_codex":0.000007280354,"about_ca_topic_score_gemma":0.00002236192,"teacher_disagreement_score":0.7175452,"about_ca_system_score_codex":0.000059375412,"about_ca_system_score_gemma":0.000048932117,"threshold_uncertainty_score":0.6892654},"labels":[],"label_agreement":null},{"id":"W1985391766","doi":"10.1016/j.jnca.2011.09.002","title":"A middleware architecture for disseminating delay-constrained information in wireless sensor networks","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"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; Université Laval","funders":"","keywords":"Computer science; Dissemination; Middleware (distributed applications); Wireless sensor network; Computer network; Process (computing); Architecture; Wireless; Information Dissemination; Message broker; Distributed computing; Telecommunications; World Wide Web; Operating system","score_opus":0.010630387898126006,"score_gpt":0.2130082697448823,"score_spread":0.20237788184675629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985391766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013641015,0.0002085751,0.9852301,0.00013692433,0.0002148821,0.000348286,0.0000016765214,0.000041164723,0.00017738059],"genre_scores_gemma":[0.6144864,0.00005229179,0.38470286,0.00022856596,0.00046435886,0.000046526802,0.0000056967474,0.000008718245,0.0000046171617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856067,0.000059910344,0.00068720884,0.0001870465,0.00015990691,0.0003452704],"domain_scores_gemma":[0.9985435,0.00030814952,0.0005200653,0.00026102265,0.00023364004,0.00013364408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041891084,0.00017415143,0.00028265137,0.0001803864,0.00016491364,0.00011958882,0.00055234216,0.00011237425,0.0000011467498],"category_scores_gemma":[0.0000056558465,0.0001558875,0.00010279236,0.0005362874,0.000057822348,0.00041208387,0.00012312345,0.0003062298,5.896411e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003616934,0.00009469102,0.0009804601,0.000028854234,0.000039404415,0.000008183059,0.0017439141,0.5839881,0.000006925902,0.030471392,0.00045929206,0.38214263],"study_design_scores_gemma":[0.0005815743,0.0001395318,0.0020450803,0.00014612252,0.000015297404,0.00024870757,0.00006259729,0.99275595,0.000012271984,0.0018238114,0.0019749387,0.00019411562],"about_ca_topic_score_codex":0.0000038521903,"about_ca_topic_score_gemma":0.000007834858,"teacher_disagreement_score":0.60084534,"about_ca_system_score_codex":0.000030488856,"about_ca_system_score_gemma":0.000040032188,"threshold_uncertainty_score":0.63569075},"labels":[],"label_agreement":null},{"id":"W1987057800","doi":"10.1016/j.jnca.2014.11.002","title":"Special issue on “quality of service in wireless and mobile networking”","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"IPv6, Mobility, Handover, Networks, Security","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 Waterloo","funders":"","keywords":"Computer science; Computer network; Wireless; Telecommunications; Wireless network; Quality of service; Mobile wireless; IMT Advanced; Mobile computing; Mobile Web; Mobile technology","score_opus":0.009075937445667195,"score_gpt":0.23595018652067645,"score_spread":0.22687424907500925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987057800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84615517,0.0016427067,0.14641619,0.00021759674,0.001891512,0.00072700495,0.000006560014,0.000060477985,0.0028828068],"genre_scores_gemma":[0.97524273,0.00048539025,0.0018214507,0.00024168205,0.022157164,0.00002470989,0.00000302438,0.000018187984,0.000005655159],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884015,0.0000856089,0.0005808674,0.00014330294,0.00015096611,0.00019908525],"domain_scores_gemma":[0.99915683,0.00026736772,0.00019036797,0.00020391463,0.00008730217,0.00009421813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062322,0.00013975159,0.0003831008,0.000058945556,0.000053543263,0.000031579424,0.00016514133,0.000092104,0.000008868844],"category_scores_gemma":[0.0000012710273,0.00013704973,0.00004835351,0.00029662906,0.00004344265,0.00007414105,0.00006000191,0.00030404856,0.000001841209],"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":[0.00012746337,0.00027485803,0.015443493,0.0003326927,0.000099281926,0.0000021367891,0.0010095516,0.41409913,0.000037290185,0.006223916,0.012577826,0.5497724],"study_design_scores_gemma":[0.0018953349,0.0003300346,0.09202999,0.00030375418,0.000057582678,0.000039539376,0.000041262552,0.5305511,0.000028507413,0.0076025743,0.36668876,0.00043158952],"about_ca_topic_score_codex":0.0000092859445,"about_ca_topic_score_gemma":0.000078508565,"teacher_disagreement_score":0.5493408,"about_ca_system_score_codex":0.000029999706,"about_ca_system_score_gemma":0.000009678856,"threshold_uncertainty_score":0.5588726},"labels":[],"label_agreement":null},{"id":"W2000058798","doi":"10.1016/j.jnca.2015.04.006","title":"Monitoring IPTV quality of experience in overlay networks using utility functions","year":2015,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Peer-to-Peer Network Technologies","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","funders":"","keywords":"Computer science; IPTV; Overlay; Computer network; Overlay network; Quality (philosophy); Quality of experience; Telecommunications; Quality of service; World Wide Web; Operating system; The Internet","score_opus":0.10981705828931189,"score_gpt":0.34753913563448824,"score_spread":0.23772207734517636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000058798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19979009,0.0008990255,0.7984378,0.0002073592,0.00041607377,0.00014798957,5.9593935e-7,0.000042931333,0.00005815719],"genre_scores_gemma":[0.80566263,0.00004596439,0.19369398,0.000048287915,0.00052179134,0.00001636853,2.429262e-7,0.000005237931,0.0000054885145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825686,0.00010341965,0.0007717366,0.0002620338,0.00031542193,0.0002905355],"domain_scores_gemma":[0.9983202,0.0001884897,0.00044453668,0.00052925624,0.00032846924,0.00018900906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009821568,0.00014033956,0.0003555156,0.00015896441,0.00010240261,0.00008396906,0.000845503,0.00009148564,6.055012e-7],"category_scores_gemma":[0.000022296275,0.00013339992,0.00007172264,0.0012358819,0.000087327615,0.0003888057,0.00048224363,0.00029916575,7.876412e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045942565,0.00025267954,0.22369696,0.000016002363,0.000051343242,0.000007748226,0.0014071547,0.50649935,0.00010757373,0.007676336,0.0025830974,0.2576558],"study_design_scores_gemma":[0.00071663,0.00022291033,0.25238442,0.00019498542,0.00001785372,0.00010911273,0.0003075269,0.728564,0.00008209949,0.009115019,0.007928382,0.00035703112],"about_ca_topic_score_codex":0.000032504617,"about_ca_topic_score_gemma":0.000008979126,"teacher_disagreement_score":0.6058725,"about_ca_system_score_codex":0.000080841884,"about_ca_system_score_gemma":0.00009017171,"threshold_uncertainty_score":0.5439891},"labels":[],"label_agreement":null},{"id":"W2007217169","doi":"10.1016/j.jnca.2009.07.002","title":"Survey of multipath routing protocols for mobile ad hoc networks","year":2009,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":282,"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; University of Windsor","funders":"","keywords":"Computer science; Multipath routing; Computer network; Routing protocol; Link-state routing protocol; Wireless Routing Protocol; Distributed computing; Routing (electronic design automation)","score_opus":0.023486586340031958,"score_gpt":0.29575098711842135,"score_spread":0.27226440077838937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007217169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010726196,0.002596731,0.9908138,0.00008059351,0.000119313765,0.005256702,0.0000029287114,0.00003118055,0.000026123053],"genre_scores_gemma":[0.5748383,0.0004901735,0.41985503,0.00045709327,0.0015488846,0.002759277,0.000009319322,0.00002068879,0.000021282902],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982333,0.000117952535,0.000833037,0.00027277533,0.00020529295,0.000337606],"domain_scores_gemma":[0.99744946,0.00052670354,0.0008613612,0.00046923922,0.0005335666,0.00015966805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012450251,0.00017222688,0.00043471035,0.00006338922,0.00017656399,0.00012758424,0.000864664,0.00009851839,0.0000011720261],"category_scores_gemma":[0.000007890726,0.00015242165,0.00013222493,0.00055586605,0.000041841486,0.00025456198,0.00013209613,0.00024187236,5.211565e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037698937,0.00017813727,0.0014578778,0.000012267255,0.000036361827,0.0000013362793,0.000108973465,0.1317276,0.000008525326,0.0044548823,0.004072043,0.8579043],"study_design_scores_gemma":[0.0008301824,0.0010228829,0.04070712,0.00013248093,0.000017105602,0.000045619243,0.0000037142238,0.93024087,0.000008480046,0.0022086687,0.024594188,0.00018866466],"about_ca_topic_score_codex":0.0000011643638,"about_ca_topic_score_gemma":0.0000052864384,"teacher_disagreement_score":0.8577156,"about_ca_system_score_codex":0.000024575324,"about_ca_system_score_gemma":0.00007806011,"threshold_uncertainty_score":0.6215574},"labels":[],"label_agreement":null},{"id":"W2009870514","doi":"10.1016/j.jnca.2010.06.006","title":"Verifying mediated service interactions considering expected behaviours","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Ministry of Education, Science and Technology; Ministry of Education, Culture, Sports, Science and Technology; Science Foundation Ireland","keywords":"Computer science; Service (business); Computer network","score_opus":0.010460047553940194,"score_gpt":0.2434099956834228,"score_spread":0.2329499481294826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009870514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16119798,0.00022728539,0.83408237,0.0030101852,0.000931824,0.00015984225,0.0000019799727,0.00009795229,0.00029057174],"genre_scores_gemma":[0.76558506,0.00004503429,0.22952022,0.0029990056,0.0017912765,0.000027389178,0.000008190897,0.00001636595,0.000007434441],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895376,0.00003868178,0.00040183353,0.00020712182,0.0001810756,0.00021752177],"domain_scores_gemma":[0.9985595,0.00026413912,0.0003242155,0.00034627394,0.00031686315,0.00018901688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016612232,0.00013983758,0.00019911927,0.00013399313,0.00027192192,0.00019457229,0.0006466753,0.000057711502,0.000012132371],"category_scores_gemma":[0.0000018030667,0.00012370787,0.00006437831,0.00065330596,0.000026053738,0.00039725337,0.00023566501,0.00053157564,0.0000069416196],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000129235,0.0015602808,0.037369784,0.00023920625,0.001099604,0.0001948439,0.027077142,0.019891651,0.031891156,0.21544749,0.0132483905,0.65185124],"study_design_scores_gemma":[0.002791614,0.00038807702,0.081488796,0.0003692283,0.0002652901,0.005017706,0.00054075517,0.32886004,0.0010615994,0.021137321,0.55672234,0.001357205],"about_ca_topic_score_codex":0.000024368128,"about_ca_topic_score_gemma":0.0002713056,"teacher_disagreement_score":0.65049404,"about_ca_system_score_codex":0.000009510373,"about_ca_system_score_gemma":0.000060513772,"threshold_uncertainty_score":0.504466},"labels":[],"label_agreement":null},{"id":"W2010620962","doi":"10.1016/j.jnca.2010.12.012","title":"A clique-based secure admission control scheme for mobile ad hoc networks (MANETs)","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Cryptography and Data Security","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Computer science; Computer network; Mobile ad hoc network; Wireless ad hoc network; Vehicular ad hoc network; Session key; Node (physics); Certificate; Clique; Certificate authority; Authentication (law); Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Scheme (mathematics); Computer security; Wireless; Network packet; Public-key cryptography; Routing protocol; Theoretical computer science; Telecommunications","score_opus":0.005235174949070004,"score_gpt":0.23990895880888063,"score_spread":0.23467378385981064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010620962","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040517393,0.0031013188,0.99122745,0.0006158754,0.00038029172,0.00054932456,0.000012698836,0.000047472695,0.000013809331],"genre_scores_gemma":[0.32578024,0.0004214501,0.6697734,0.0015557081,0.0022286845,0.00019908149,0.000024177476,0.000014630729,0.000002620395],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988295,0.000042470183,0.0004275287,0.0002646207,0.00016229133,0.00027360528],"domain_scores_gemma":[0.9983348,0.00032694358,0.0003612995,0.00044664467,0.0002525777,0.00027770107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050895195,0.00015747176,0.00026522396,0.000086699176,0.00029257883,0.00020056235,0.0006858084,0.00013261299,0.0000066728808],"category_scores_gemma":[0.000004163077,0.00013286006,0.00018235632,0.0003434685,0.00005718194,0.0002667054,0.000091312344,0.000452362,0.0000011019016],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027501708,0.0007373806,0.0017429303,0.0000740817,0.00017141532,0.000010673787,0.0002863152,0.02388231,0.0003184297,0.18016754,0.06918584,0.72314805],"study_design_scores_gemma":[0.0010662944,0.00031188305,0.00092347525,0.00002699288,0.000023448565,0.000055356504,0.0000024178805,0.5282492,0.000008353743,0.008786667,0.46040374,0.00014219407],"about_ca_topic_score_codex":3.951936e-7,"about_ca_topic_score_gemma":0.00000719705,"teacher_disagreement_score":0.7230059,"about_ca_system_score_codex":0.000007693263,"about_ca_system_score_gemma":0.00009143787,"threshold_uncertainty_score":0.54178756},"labels":[],"label_agreement":null},{"id":"W2010814394","doi":"10.1016/j.jnca.2012.10.005","title":"A SIP servlets-based framework for service provisioning in stand-alone MANETs","year":2012,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":3,"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":"Computer science; Computer network; Provisioning; Mobile ad hoc network; Overlay network; Distributed computing; Wireless ad hoc network; Service (business); Wireless; The Internet; Operating system","score_opus":0.021277740252270836,"score_gpt":0.28458267783679275,"score_spread":0.2633049375845219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010814394","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009260133,0.0016958273,0.98161227,0.0065281,0.00023578723,0.0005450832,0.0000018564225,0.000090901514,0.000030022526],"genre_scores_gemma":[0.31113988,0.000025962448,0.68628097,0.0016651666,0.00076993863,0.00010086682,0.0000012778453,0.000011139417,0.0000048068837],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851215,0.00004276161,0.00049008266,0.00023372234,0.00023722109,0.00048403573],"domain_scores_gemma":[0.998347,0.00048469813,0.00029926063,0.0004464816,0.0002252368,0.00019736437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000723209,0.00016782976,0.00030612337,0.00019287653,0.00016362562,0.00015091772,0.0009432482,0.00012462371,9.274101e-7],"category_scores_gemma":[0.000014245917,0.00015152011,0.000064585714,0.0011025356,0.000023408766,0.00034803487,0.00028951233,0.00032971354,0.0000046622654],"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":[0.000104907536,0.00058346154,0.014507457,0.00016512815,0.00009437734,0.000011757697,0.0012608008,0.13354918,0.000053293188,0.31499472,0.017732974,0.51694196],"study_design_scores_gemma":[0.0018404708,0.00070325343,0.048204377,0.0009155563,0.000055933662,0.00020773476,0.000065815104,0.5610215,0.00013274682,0.16214272,0.22390842,0.0008014493],"about_ca_topic_score_codex":0.000002739475,"about_ca_topic_score_gemma":0.0000056821204,"teacher_disagreement_score":0.5161405,"about_ca_system_score_codex":0.00006091792,"about_ca_system_score_gemma":0.0000783181,"threshold_uncertainty_score":0.6178811},"labels":[],"label_agreement":null},{"id":"W2013343793","doi":"10.1006/jnca.2000.0107","title":"Power LAN MIB for management of intelligent telecommunication equipment","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"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 British Columbia","keywords":"Simple Network Management Protocol; Computer science; Computer network; Network management; Network management application; Network management station; Power management; Network monitoring; Protocol (science); Telecommunications; Power (physics); Network architecture","score_opus":0.013180044534359671,"score_gpt":0.25176582937087494,"score_spread":0.23858578483651527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013343793","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023297106,0.001172839,0.9937802,0.00066802755,0.00011054394,0.0006780286,0.0000011230019,0.000021110352,0.0012384336],"genre_scores_gemma":[0.34335095,0.003382709,0.6517169,0.00065731455,0.00037197108,0.00022812579,0.0000075566472,0.000015732798,0.0002687566],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987397,0.00005012155,0.0006038298,0.00019141495,0.00020622044,0.00020870408],"domain_scores_gemma":[0.99876165,0.00010088006,0.00034498694,0.0005801598,0.00011881537,0.000093485025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050655444,0.00012122507,0.00021240512,0.00007482846,0.00012079241,0.00006958143,0.000915195,0.00003147476,0.000031014562],"category_scores_gemma":[3.200944e-7,0.000109913846,0.00011169732,0.0003143949,0.000032975557,0.00013544402,0.00021938464,0.000093419745,0.000005888783],"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":[0.000024177958,0.00020822845,0.00006699336,0.00005136379,0.00018772454,0.0000021870003,0.0001423923,0.04510231,0.0000043631558,0.09134062,0.014248717,0.84862095],"study_design_scores_gemma":[0.0008651764,0.0005568818,0.0027931838,0.0001959726,0.00008678845,0.000033217075,0.0000330763,0.13938722,0.00006089984,0.016205307,0.83953345,0.000248805],"about_ca_topic_score_codex":0.0000010671898,"about_ca_topic_score_gemma":6.659213e-7,"teacher_disagreement_score":0.8483721,"about_ca_system_score_codex":0.000051244904,"about_ca_system_score_gemma":0.000019882737,"threshold_uncertainty_score":0.44821563},"labels":[],"label_agreement":null},{"id":"W2016884651","doi":"10.1016/j.jnca.2006.04.009","title":"A protocol for multi-agent negotiation in a group-choice decision making process","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":42,"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":"Negotiation; Computer science; Protocol (science); Component (thermodynamics); Variety (cybernetics); Game theory; Multi-agent system; Process (computing); Exploit; Artificial intelligence; Management science; Computer security; Mathematical economics; Mathematics","score_opus":0.03959679504321842,"score_gpt":0.3484922111750855,"score_spread":0.3088954161318671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016884651","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019940364,0.00004783034,0.9733599,0.00008692465,0.00010711262,0.024364738,6.271968e-7,0.000021902275,0.000016963297],"genre_scores_gemma":[0.27694637,0.0000036230615,0.6712027,0.00017236655,0.0017577974,0.049886025,0.0000027233586,0.00001527081,0.000013089024],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865633,0.00004693907,0.0006723866,0.00022802739,0.00020472093,0.00019160751],"domain_scores_gemma":[0.9987948,0.0002038575,0.0005827567,0.00017710049,0.00019152259,0.000049960185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046476582,0.00012028518,0.00019840024,0.00014113466,0.00015439813,0.00016708956,0.0003353113,0.000060407565,0.0000011289485],"category_scores_gemma":[0.0000060318084,0.000101944446,0.00007109342,0.000385887,0.000010918894,0.0004059286,0.000057959136,0.000107039275,0.0000014655998],"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":[0.00016606534,0.0018771517,0.07563546,0.0005457818,0.000060801198,0.000009240141,0.0010727425,0.19583008,0.00017650658,0.056897353,0.010922984,0.6568058],"study_design_scores_gemma":[0.0019189772,0.000115747236,0.10886438,0.00029672933,0.0000069808116,0.000036336936,0.000005575729,0.8625859,0.0000067307033,0.0066100233,0.019414775,0.00013785085],"about_ca_topic_score_codex":0.000008606273,"about_ca_topic_score_gemma":0.00005949473,"teacher_disagreement_score":0.6667558,"about_ca_system_score_codex":0.00005376464,"about_ca_system_score_gemma":0.000037024984,"threshold_uncertainty_score":0.4157174},"labels":[],"label_agreement":null},{"id":"W2020859934","doi":"10.1016/j.jnca.2015.02.004","title":"Two-tier particle swarm optimization protocol for clustering and routing in wireless sensor network","year":2015,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":166,"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; Cluster analysis; Wireless sensor network; Routing protocol; Particle swarm optimization; Network packet; Computer network; Scalability; Energy consumption; Base station; Distributed computing; Algorithm","score_opus":0.02779972363093292,"score_gpt":0.2845920408858486,"score_spread":0.2567923172549157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020859934","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028607263,0.000058267415,0.9881378,0.00033578818,0.0001369214,0.008384484,3.0446824e-7,0.000035804973,0.000049909657],"genre_scores_gemma":[0.17814541,0.000015958209,0.8106115,0.00032132902,0.0021281764,0.008734074,0.0000016581838,0.000024075838,0.000017843253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985476,0.00009389684,0.00056052743,0.00026192173,0.00017979783,0.0003562371],"domain_scores_gemma":[0.99876994,0.00020732528,0.00037937588,0.00022081842,0.00022342587,0.00019909715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598162,0.00014910882,0.00026354994,0.000054519376,0.00016645412,0.0002169437,0.00030174514,0.0000630061,3.277836e-7],"category_scores_gemma":[0.0000051171123,0.00013728868,0.00004447555,0.00046383057,0.000042107702,0.00028986216,0.00021543943,0.00017244197,3.5180747e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032451684,0.000050939067,0.0014726452,0.000010532358,0.000012077748,0.0000028711972,0.00020644654,0.9630492,0.000002511536,0.01003377,0.00046034803,0.024666216],"study_design_scores_gemma":[0.0016032811,0.00012639603,0.0002873053,0.00011065415,0.000008412028,0.000073774616,0.000018812265,0.99329174,0.000010359943,0.00072127464,0.0036008316,0.000147178],"about_ca_topic_score_codex":0.0000034626485,"about_ca_topic_score_gemma":0.000009620014,"teacher_disagreement_score":0.17752631,"about_ca_system_score_codex":0.00004547296,"about_ca_system_score_gemma":0.000052556763,"threshold_uncertainty_score":0.55984694},"labels":[],"label_agreement":null},{"id":"W2023188917","doi":"10.1016/j.jnca.2008.02.012","title":"Quantitative analysis of location management and QoS in wireless networks","year":2008,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Wireless Communication Networks Research","field":"Computer Science","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Paging; Quality of service; Computer network; Mobility management; Wireless network; Call blocking; Wireless; Cellular network; Distributed computing; Telecommunications","score_opus":0.0263695279297754,"score_gpt":0.2864087680297227,"score_spread":0.2600392400999473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023188917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042298246,0.0021906667,0.95491034,0.00024964818,0.00005122758,0.00019825938,3.6712458e-7,0.0000097980455,0.00009143056],"genre_scores_gemma":[0.8883264,0.0051452536,0.10628301,0.00006670185,0.000131077,0.000027269445,0.0000029468724,0.000005042658,0.00001231341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865484,0.00015684501,0.00057615084,0.0001904874,0.00024273692,0.00017895424],"domain_scores_gemma":[0.9984572,0.00034450958,0.00038795176,0.0004279792,0.0002901871,0.000092164395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005417197,0.00010032579,0.00034026307,0.0004608592,0.00013745959,0.00004610908,0.00064682966,0.000049063994,0.0000010736621],"category_scores_gemma":[0.0000018738577,0.00009425073,0.00006258855,0.0028603645,0.0001310084,0.00024394426,0.0003373605,0.000218858,4.071074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042831263,0.00023295537,0.033152368,0.000031130385,0.00066406414,0.000012564306,0.00074744073,0.6462683,0.0000053111903,0.21386638,0.0014252433,0.10355137],"study_design_scores_gemma":[0.00023378429,0.000063852276,0.20541689,0.000038707654,0.000049142425,0.000022966204,0.000019818264,0.79300624,0.000001010182,0.00055166427,0.0005260927,0.00006985504],"about_ca_topic_score_codex":0.0000073973188,"about_ca_topic_score_gemma":0.000017400009,"teacher_disagreement_score":0.8486273,"about_ca_system_score_codex":0.000029058998,"about_ca_system_score_gemma":0.000033012562,"threshold_uncertainty_score":0.38434333},"labels":[],"label_agreement":null},{"id":"W2028675071","doi":"10.1016/j.jnca.2008.02.013","title":"Towards automating overlay network management","year":2008,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":12,"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; Network management; Overlay network; Overlay; Flexibility (engineering); Service provider; Quality of service; Computer network; Context (archaeology); Network management station; Network management application; Network element; Service (business); Element management system; Distributed computing; Network architecture; World Wide Web; The Internet","score_opus":0.013464228061888402,"score_gpt":0.23554994385651096,"score_spread":0.22208571579462255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028675071","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033275993,0.000876116,0.99114144,0.0021655413,0.00036927496,0.000275575,4.5905853e-7,0.00024845288,0.0015955577],"genre_scores_gemma":[0.1439999,0.00041313848,0.8527055,0.001104743,0.0016301553,0.000045631525,7.590669e-7,0.000012498317,0.0000877062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983373,0.000044043867,0.00054725196,0.00028902752,0.00035709795,0.0004252443],"domain_scores_gemma":[0.99870056,0.000096442316,0.00033357495,0.00054110395,0.00014971461,0.00017859421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004367145,0.00018162926,0.00030616994,0.00013332268,0.00040912064,0.00013248531,0.0012781055,0.00007204643,0.0000022392956],"category_scores_gemma":[0.0000029511805,0.0001630307,0.00009932554,0.0010614902,0.00006144777,0.0002667702,0.000814183,0.0002625209,0.000014781233],"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":[0.000005776699,0.000068545756,0.0012269246,0.000014517121,0.00012256578,0.00007691803,0.00022896187,0.08673331,0.0000030556905,0.12001578,0.19012299,0.60138065],"study_design_scores_gemma":[0.0007350241,0.00040424743,0.078007765,0.00021918386,0.000054484673,0.0019488954,0.000021796315,0.2962728,0.0000139363265,0.06307144,0.55864054,0.00060987234],"about_ca_topic_score_codex":0.0000015817772,"about_ca_topic_score_gemma":0.0000010400332,"teacher_disagreement_score":0.6007708,"about_ca_system_score_codex":0.000050361705,"about_ca_system_score_gemma":0.00004450039,"threshold_uncertainty_score":0.66481984},"labels":[],"label_agreement":null},{"id":"W2036174492","doi":"10.1016/j.jnca.2011.11.007","title":"Accumulating error-free frame blocks to improve throughput for IEEE 802.11-based WLAN","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":14,"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":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; Federation for the Humanities and Social Sciences","keywords":"Computer science; Throughput; Frame (networking); Checksum; Computer network; Distributed coordination function; Node (physics); IEEE 802.11; Payload (computing); Channel (broadcasting); Real-time computing; Wireless; Network packet; Telecommunications","score_opus":0.04551831140024587,"score_gpt":0.29670941822195346,"score_spread":0.2511911068217076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036174492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014267022,0.00009004843,0.9947926,0.0005786417,0.00034960866,0.0025752669,0.0000041535777,0.00004956904,0.00013342207],"genre_scores_gemma":[0.20405665,0.0000055812475,0.7903858,0.0015309649,0.0027617763,0.0012199803,0.0000012180536,0.000019189025,0.000018827453],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851835,0.000043942895,0.00056092656,0.00031422937,0.00019691512,0.00036561853],"domain_scores_gemma":[0.9981214,0.0002728162,0.00042577786,0.00064077845,0.0002956964,0.00024355798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047588896,0.00018574983,0.00031370544,0.00007878279,0.00031970427,0.00019411008,0.001223558,0.00009876089,0.0000046839896],"category_scores_gemma":[0.0000061452856,0.0001596464,0.00014796009,0.00036536393,0.000032921223,0.00025623495,0.00021516775,0.00021159666,0.0000023308608],"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":[0.00024763725,0.00077869865,0.0076031107,0.00015992306,0.00029675473,0.000020464227,0.0027636818,0.15068132,0.00029688384,0.09365097,0.08797866,0.6555219],"study_design_scores_gemma":[0.0014339407,0.0009260926,0.0030822915,0.00018610811,0.000040731436,0.00004483764,0.000010272369,0.8985975,0.00016154085,0.035267454,0.059848253,0.00040098716],"about_ca_topic_score_codex":0.000008126998,"about_ca_topic_score_gemma":0.000010682149,"teacher_disagreement_score":0.74791616,"about_ca_system_score_codex":0.000023561814,"about_ca_system_score_gemma":0.0000740908,"threshold_uncertainty_score":0.6510191},"labels":[],"label_agreement":null},{"id":"W2036261506","doi":"10.1006/jnca.2000.0114","title":"The design and implementation of a MOO","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Peer-to-Peer Network Technologies","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":"Acadia University","funders":"Mashhad University of Medical Sciences","keywords":"Computer science; Server; Event (particle physics); Universe; Distributed computing; World Wide Web; Astrophysics; Physics","score_opus":0.010675612820217529,"score_gpt":0.2609123807247081,"score_spread":0.2502367679044906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036261506","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012243655,0.0009236733,0.9837449,0.002755723,0.000040770086,0.00022543222,3.6254315e-7,0.000024506384,0.000040931132],"genre_scores_gemma":[0.3617797,0.001360738,0.6361392,0.0003326331,0.00030814903,0.000040540926,2.9627125e-7,0.0000057373154,0.000032973916],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992653,0.000042933752,0.0003048903,0.000110631496,0.00013296814,0.00014325231],"domain_scores_gemma":[0.9992457,0.00021419977,0.00016315587,0.00022905011,0.00008948924,0.00005842005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196836,0.00006928845,0.00012085619,0.000043773514,0.00018013486,0.00010209344,0.00050599326,0.000026193604,0.000001986441],"category_scores_gemma":[0.0000011769711,0.000048765265,0.000027203321,0.00033881207,0.00005242445,0.000128346,0.000120239696,0.00009138972,0.0000014555424],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005052394,0.000010434877,0.0002646824,0.0000018320972,0.000021397203,6.7858286e-7,0.0001475996,0.0059159514,0.000013515113,0.0178899,0.009418762,0.9663102],"study_design_scores_gemma":[0.0012754475,0.0012747268,0.06960241,0.00009244314,0.00007352324,0.000579658,0.00014494556,0.28140032,0.00035660618,0.17316937,0.4715991,0.0004314308],"about_ca_topic_score_codex":0.0000025213271,"about_ca_topic_score_gemma":0.000002809069,"teacher_disagreement_score":0.9658788,"about_ca_system_score_codex":0.00000973328,"about_ca_system_score_gemma":0.000028296898,"threshold_uncertainty_score":0.19885898},"labels":[],"label_agreement":null},{"id":"W2037659139","doi":"10.1016/j.jnca.2004.06.004","title":"An agent-based approach to security service","year":2004,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Security and Verification in Computing","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":"Acadia University","funders":"","keywords":"Computer science; Computer security; Security service; Authentication (law); Distributed System Security Architecture; Service (business); Interface (matter); Computer security model; Cloud computing security; Security information and event management; Information security; Cloud computing; Operating system","score_opus":0.02032854001819957,"score_gpt":0.2607101616701492,"score_spread":0.24038162165194965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037659139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010032339,0.00013696414,0.9874702,0.0017241674,0.00016830824,0.0001942385,7.874424e-7,0.000059610302,0.00021339004],"genre_scores_gemma":[0.5471463,0.000007294489,0.44894686,0.0030971158,0.0007798339,0.000014600341,0.0000020663053,0.00000523859,7.0218164e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988957,0.00005629317,0.00037183872,0.000258804,0.00021727679,0.00020010682],"domain_scores_gemma":[0.9987374,0.00005744834,0.00022363968,0.00044466622,0.00026880598,0.0002680655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041452004,0.00011614801,0.00017269472,0.00009602267,0.00026165918,0.00024252062,0.0009441327,0.000052765903,8.7365316e-7],"category_scores_gemma":[0.0000016696097,0.000111146044,0.000055595636,0.00077240466,0.000019671108,0.0002895701,0.00010814014,0.00019317002,0.000007978746],"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":[0.000010958638,0.0006111091,0.0002330868,0.000033328924,0.000030514011,0.000002731646,0.0020400835,0.6498452,0.000042735053,0.31040573,0.0013535722,0.03539095],"study_design_scores_gemma":[0.0007730604,0.0002485004,0.0033661665,0.000055031862,0.000019053057,0.00017354418,0.0000447249,0.91626745,0.000069123496,0.037679844,0.041018162,0.0002853366],"about_ca_topic_score_codex":0.000007086534,"about_ca_topic_score_gemma":0.0000021353626,"teacher_disagreement_score":0.5385233,"about_ca_system_score_codex":0.000040332463,"about_ca_system_score_gemma":0.00010999617,"threshold_uncertainty_score":0.45324042},"labels":[],"label_agreement":null},{"id":"W2040492696","doi":"10.1016/j.jnca.2010.07.012","title":"Advanced topics in cloud computing","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Music Technology and Sound Studies","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":"St. Francis Xavier University","funders":"","keywords":"Computer science; Cloud computing; Computer music; Layer (electronics); Architecture; Services computing; Abstraction; Service (business); Component (thermodynamics); Musical composition; Web service; Multimedia; Distributed computing; World Wide Web; Operating system; Music education","score_opus":0.008237384524183208,"score_gpt":0.24389820882136795,"score_spread":0.23566082429718474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040492696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09369281,0.00032625603,0.9035028,0.0015026304,0.0005587609,0.00007161233,9.6751435e-8,0.000026128177,0.00031888127],"genre_scores_gemma":[0.7379792,0.0000751949,0.260396,0.00037206724,0.0011522834,0.0000040894,1.4565312e-7,0.0000024696199,0.000018590774],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994053,0.000016136948,0.00026058775,0.00011307159,0.00007000073,0.00013487521],"domain_scores_gemma":[0.9994747,0.000087675886,0.00014489623,0.00018833014,0.000064790336,0.000039577113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023679253,0.00006394743,0.00014966953,0.000060025264,0.0001324634,0.000039459148,0.00039981274,0.0000561598,8.8971177e-7],"category_scores_gemma":[0.0000036051829,0.00005517867,0.000032223867,0.00025161266,0.000049828475,0.000102190286,0.0001784259,0.0003637854,0.00000114055],"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":[0.0000025446511,0.000053519,0.0090351235,0.000005336441,0.000016781432,0.0000073122483,0.0005286384,0.0010622421,0.000024580733,0.41944432,0.0022627595,0.56755686],"study_design_scores_gemma":[0.001082001,0.00019168004,0.12428977,0.000059541853,0.000013502205,0.000462646,0.00004041862,0.11218764,0.000016728342,0.19197111,0.56937146,0.00031351182],"about_ca_topic_score_codex":9.98484e-7,"about_ca_topic_score_gemma":0.000016732012,"teacher_disagreement_score":0.64428633,"about_ca_system_score_codex":0.000006036372,"about_ca_system_score_gemma":0.000020225512,"threshold_uncertainty_score":0.22501208},"labels":[],"label_agreement":null},{"id":"W2040583732","doi":"10.1006/jnca.2000.0118","title":"Preface to ‘Virtual Environments’","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Advancements in Battery Materials","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":"Acadia University","funders":"","keywords":"Materials science; Nanocrystalline material; Electrolyte; Lithium (medication); Anode; Cathode; Lithium vanadium phosphate battery; Intercalation (chemistry); Thin film; Manganese; Oxide; Chemical engineering; Inorganic chemistry; Nanotechnology; Electrode; Chemistry; Metallurgy; Physical chemistry","score_opus":0.00619340728647103,"score_gpt":0.20761395138372263,"score_spread":0.2014205440972516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040583732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1344361,0.0002048615,0.86453575,0.00009434749,0.0001554808,0.00013702612,0.000002378699,0.00002034304,0.00041369157],"genre_scores_gemma":[0.8778817,0.00095535466,0.1150882,0.0012059547,0.0036885934,0.00006694634,0.000004262091,0.00004410909,0.0010648958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995528,0.000008615962,0.00020948194,0.00005699943,0.00006920745,0.000102901904],"domain_scores_gemma":[0.9997825,0.00001871787,0.000029113042,0.000097425705,0.0000054012767,0.000066843655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058928064,0.00006467332,0.00010252026,0.00001860183,0.000039572627,0.00002299201,0.00010400485,0.00001866658,0.0001304144],"category_scores_gemma":[1.6756542e-7,0.00006090732,0.000013387985,0.000053711585,0.000010986914,0.000070056696,0.000018595765,0.00005397817,0.00005218378],"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":[0.000007656178,0.000021315294,0.0001027154,0.000004167381,0.000032160315,0.0000011014796,0.000084232524,0.72535235,0.00044342675,0.0004034797,0.015925638,0.25762177],"study_design_scores_gemma":[0.00019578436,0.0000928488,0.0034928934,0.00002225388,0.000015216362,0.000041620766,0.000004105807,0.0032135511,0.00012962386,0.0009373171,0.99174094,0.00011383874],"about_ca_topic_score_codex":7.249253e-8,"about_ca_topic_score_gemma":6.016303e-8,"teacher_disagreement_score":0.9758153,"about_ca_system_score_codex":0.000017284603,"about_ca_system_score_gemma":0.0000019804077,"threshold_uncertainty_score":0.24837284},"labels":[],"label_agreement":null},{"id":"W2043561532","doi":"10.1016/j.jnca.2012.12.013","title":"A multipath routing strategy to prevent flooding disruption attacks in link state routing protocols for MANETs","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"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":"Computer science; Computer network; Optimized Link State Routing Protocol; Flooding (psychology); Link-state routing protocol; Multipath routing; Distributed computing; Routing protocol; Destination-Sequenced Distance Vector routing; Wireless ad hoc network; Dynamic Source Routing; Routing (electronic design automation); Wireless; Telecommunications","score_opus":0.02341678997847839,"score_gpt":0.3029996305728351,"score_spread":0.2795828405943567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043561532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022054046,0.00006137287,0.9680177,0.0004389974,0.000082946244,0.009283548,9.4000717e-7,0.00003202451,0.000028450904],"genre_scores_gemma":[0.7259834,0.000017147611,0.26529306,0.0002385293,0.001321513,0.007102726,0.0000021689116,0.000016982629,0.000024510839],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820894,0.00008133377,0.0007865516,0.0003177311,0.00018547225,0.00041998905],"domain_scores_gemma":[0.99860823,0.00021833282,0.0004689763,0.00029949564,0.00020698886,0.00019797708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007272137,0.00016873177,0.00028868308,0.00009512884,0.00018079285,0.00041185025,0.00056317286,0.000061820174,0.0000019163822],"category_scores_gemma":[0.000005541705,0.00015364689,0.00007928453,0.00040618208,0.000014734206,0.00047869034,0.0002339161,0.00026335064,0.000005327091],"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":[0.000009155466,0.00011263754,0.0014785451,0.00002635199,0.000021756916,0.0000027248595,0.0005458775,0.3086679,0.000059406026,0.004718734,0.0007538871,0.68360305],"study_design_scores_gemma":[0.0005283255,0.00035629148,0.0112791285,0.00030413785,0.0000070935034,0.00004617777,0.000016861926,0.9787062,0.000018343608,0.006035156,0.0025155128,0.00018681414],"about_ca_topic_score_codex":0.000010501835,"about_ca_topic_score_gemma":0.000013973973,"teacher_disagreement_score":0.7039293,"about_ca_system_score_codex":0.00006873509,"about_ca_system_score_gemma":0.00005680006,"threshold_uncertainty_score":0.62655383},"labels":[],"label_agreement":null},{"id":"W2044659601","doi":"10.1016/j.jnca.2014.08.007","title":"Multi-granularity resource virtualization and sharing strategies in cloud manufacturing","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Natural Science Foundation of China","keywords":"Cloud manufacturing; Computer science; Cloud computing; Virtualization; Granularity; Workflow; Distributed computing; Resource (disambiguation); Shared resource; Robustness (evolution); Cluster analysis; Bridging (networking); Database; Computer network; Operating system; Artificial intelligence","score_opus":0.012061135694790835,"score_gpt":0.22002774442858966,"score_spread":0.20796660873379882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044659601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09661219,0.00015923887,0.90187687,0.000030693438,0.00006235277,0.00007668027,7.2406874e-7,0.000029825223,0.0011514449],"genre_scores_gemma":[0.9905503,0.00007740816,0.008900524,0.000034645473,0.00041411942,0.0000063019497,0.000002774287,0.00000895013,0.000004998437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948925,0.000011399053,0.00027658234,0.000063828964,0.00006352273,0.00009541868],"domain_scores_gemma":[0.9997604,0.000047171652,0.00005266086,0.00007081079,0.000017380773,0.000051562783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017073854,0.00007098081,0.0001095152,0.000060877996,0.00004899958,0.00013102726,0.00008398062,0.00005036928,0.0000011250894],"category_scores_gemma":[7.84996e-7,0.00007090762,0.000017047043,0.000080967206,0.000020102329,0.00027723514,0.000020558477,0.00017247505,6.1795305e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044069325,0.000025972891,0.0031838848,0.000083095365,0.000022201531,8.4822625e-7,0.0004302009,0.9211166,0.000019959767,0.013000172,0.00041505304,0.061697602],"study_design_scores_gemma":[0.00079732505,0.000045449047,0.04066725,0.00018069876,0.00001765706,0.00008404693,0.00021566056,0.89689744,0.00007265235,0.009115389,0.051687926,0.00021850382],"about_ca_topic_score_codex":9.687245e-7,"about_ca_topic_score_gemma":0.0000036476201,"teacher_disagreement_score":0.89393806,"about_ca_system_score_codex":0.000013581483,"about_ca_system_score_gemma":0.0000037262603,"threshold_uncertainty_score":0.28915286},"labels":[],"label_agreement":null},{"id":"W2044858792","doi":"10.1016/j.jnca.2006.08.001","title":"Modeling and analysis of value added services using message sequence charts","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Service-Oriented Architecture and Web Services","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":"Concordia University","funders":"","keywords":"Computer science; Sequence (biology); Value (mathematics); Machine learning","score_opus":0.012249020693878346,"score_gpt":0.24395540052739684,"score_spread":0.2317063798335185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044858792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.269786,0.0011683014,0.7287592,0.00012319488,0.000039418035,0.000066366694,0.0000024066733,0.0000127719795,0.000042299493],"genre_scores_gemma":[0.8544772,0.00009942971,0.14475808,0.00031980866,0.00033200023,0.0000028831876,0.00000429405,0.0000048736433,0.0000014131398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892366,0.000048508704,0.00045724388,0.00020782261,0.00019996834,0.00016281281],"domain_scores_gemma":[0.9990671,0.0000739941,0.00033514592,0.00025542866,0.00018935862,0.00007894841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023634125,0.00011957538,0.00031385993,0.00023268617,0.00015803479,0.00010591778,0.0004361071,0.000043610406,0.0000010150575],"category_scores_gemma":[1.5279751e-7,0.00010124723,0.000090577516,0.0010446071,0.000026080394,0.00028254,0.00018064721,0.00011045305,1.5979833e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000603166,0.000051435152,0.0032635217,0.000052062383,0.00028274528,0.0000036094327,0.00065563654,0.957838,0.0004749311,0.025997367,0.0000087494245,0.011365932],"study_design_scores_gemma":[0.00014167918,0.000029781428,0.0035482298,0.000056433317,0.00026554824,0.000045640583,0.000022706889,0.9882061,0.000031947806,0.007249755,0.0003071591,0.00009500205],"about_ca_topic_score_codex":0.00013997502,"about_ca_topic_score_gemma":0.000043200256,"teacher_disagreement_score":0.5846912,"about_ca_system_score_codex":0.000009123556,"about_ca_system_score_gemma":0.00002715146,"threshold_uncertainty_score":0.4128742},"labels":[],"label_agreement":null},{"id":"W2047043619","doi":"10.1016/j.jnca.2010.12.001","title":"Congestion prevention in broadband wireless access systems: An economic approach","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Wireless Communication Networks Research","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":"Queen's University; University of Guelph","funders":"","keywords":"Computer science; Wireless broadband; Telecommunications; Broadband; Wireless; Computer network; Broadband networks; Wireless network","score_opus":0.02897795318322414,"score_gpt":0.3140705978255616,"score_spread":0.28509264464233747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047043619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12027253,0.00038568283,0.87815124,0.00020345801,0.00026864497,0.0003673922,6.077218e-7,0.000027856022,0.00032261186],"genre_scores_gemma":[0.95291466,0.0003580212,0.04556363,0.00003662283,0.0009928428,0.00009316118,0.0000066250786,0.000010256148,0.00002415737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857485,0.00021709167,0.0005549055,0.00024771842,0.0001829531,0.00022245037],"domain_scores_gemma":[0.9984882,0.00015390728,0.00038920986,0.0006450771,0.00015887678,0.00016476883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010119815,0.000117713804,0.00024431807,0.00018578845,0.00013046771,0.0006164546,0.0016328805,0.000103664446,0.000001843492],"category_scores_gemma":[0.0000018645184,0.00011165887,0.00004590054,0.00035398864,0.00006938406,0.001160811,0.00035041105,0.0005590676,0.0000027224055],"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":[0.000026884663,0.0005054767,0.013393554,0.00004807251,0.000054745768,0.0000034292418,0.00030191144,0.28133923,0.00009645354,0.27577856,0.0020832869,0.4263684],"study_design_scores_gemma":[0.00045446688,0.000078600795,0.029078763,0.000038397255,0.0000060503717,0.00016023975,0.000010863512,0.9615566,0.000003495832,0.0036519766,0.0048322408,0.00012827919],"about_ca_topic_score_codex":0.000018428153,"about_ca_topic_score_gemma":0.00004657389,"teacher_disagreement_score":0.83264214,"about_ca_system_score_codex":0.00004662227,"about_ca_system_score_gemma":0.00013013634,"threshold_uncertainty_score":0.59444857},"labels":[],"label_agreement":null},{"id":"W2061161450","doi":"10.1016/j.jnca.2011.10.008","title":"A cross layer architecture for multicast and unicast video transmission in mobile broadband networks","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Advanced Wireless Network 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 Waterloo","funders":"","keywords":"Computer science; Multicast; Computer network; Unicast; Scalable Video Coding; Quality of service; Scalability; Real-time computing","score_opus":0.01109593737157007,"score_gpt":0.23883800288175575,"score_spread":0.22774206551018567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061161450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01591366,0.004034861,0.97949445,0.00001487188,0.000065544744,0.00039989065,0.0000018513646,0.000027211798,0.00004762761],"genre_scores_gemma":[0.7300218,0.0021807791,0.26701644,0.000045087418,0.00058739615,0.000104982195,0.000004981946,0.00003083915,0.0000077225395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926645,0.000017137878,0.00034788245,0.00012410177,0.0000538482,0.00019060321],"domain_scores_gemma":[0.99953264,0.00011360953,0.000085947846,0.00010375539,0.000059920763,0.00010415361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012565717,0.00012345155,0.00020533703,0.000060985793,0.00007820605,0.000032727454,0.00009840709,0.00008400658,0.000003790611],"category_scores_gemma":[7.8923114e-7,0.000110999026,0.000041502182,0.00018268825,0.00004519385,0.00010914516,0.000021728818,0.00020846119,1.4285986e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035584908,0.000023315677,0.000644595,0.000021048045,0.000017167045,0.000001141501,0.00023649244,0.78507036,0.000013651175,0.00013545343,0.00012467428,0.21367653],"study_design_scores_gemma":[0.0007975913,0.000094010764,0.0045215376,0.00008734157,0.000022178512,0.00006532109,0.000008990233,0.97485095,0.000013790012,0.0010559573,0.018349936,0.00013239923],"about_ca_topic_score_codex":6.3171177e-7,"about_ca_topic_score_gemma":0.000004540799,"teacher_disagreement_score":0.7141081,"about_ca_system_score_codex":0.00001552002,"about_ca_system_score_gemma":0.0000065107533,"threshold_uncertainty_score":0.4526409},"labels":[],"label_agreement":null},{"id":"W2078782914","doi":"10.1016/j.jnca.2013.09.009","title":"Rich Mobile Applications: Genesis, taxonomy, and open issues","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Ministry of Higher Education, Malaysia","keywords":"Computer science; Blueprint; Taxonomy (biology); World Wide Web; Mobile device; Cloud computing; Open research; Data science; Human–computer interaction","score_opus":0.020688207863462618,"score_gpt":0.2508504096136206,"score_spread":0.23016220175015797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078782914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008521011,0.008437132,0.9808099,0.0009021105,0.00007143871,0.0009933492,8.531283e-7,0.000030231182,0.00023393042],"genre_scores_gemma":[0.5447615,0.0056488914,0.44023198,0.0022926847,0.0029857024,0.0035453537,0.00000528598,0.000024904191,0.00050368765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991178,0.000044994405,0.00033930028,0.00022393312,0.00011585832,0.00015810011],"domain_scores_gemma":[0.99899006,0.00009999388,0.00023677833,0.00033535113,0.00019579333,0.00014203772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024323205,0.00011096491,0.00021693611,0.00006243663,0.00025432598,0.000675291,0.00089399994,0.000040343486,0.000005988988],"category_scores_gemma":[8.0543407e-7,0.00009452873,0.000041283292,0.0002416192,0.000040449428,0.00058789685,0.00052922516,0.00013024593,0.00001782172],"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":[0.000003920597,0.00014810052,0.003302814,0.000017826644,0.000084787294,0.0000017522899,0.00015095856,0.001422773,0.000094402065,0.02899865,0.04935894,0.9164151],"study_design_scores_gemma":[0.00064142264,0.0002595607,0.011233212,0.00005341098,0.000045809375,0.00035989963,0.000090867914,0.096234,0.000016275451,0.022697734,0.8680095,0.0003583009],"about_ca_topic_score_codex":0.000049594717,"about_ca_topic_score_gemma":0.0000018694739,"teacher_disagreement_score":0.91605675,"about_ca_system_score_codex":0.000013691859,"about_ca_system_score_gemma":0.0000351118,"threshold_uncertainty_score":0.6511847},"labels":[],"label_agreement":null},{"id":"W2083836487","doi":"10.1016/j.jnca.2010.03.028","title":"Adaptive security protocol selection for mobile computing","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Distributed systems and fault tolerance","field":"Computer Science","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; Cryptographic protocol; Security service; Quality of service; Cryptography; Middleware (distributed applications); Computer network; Distributed computing; Protocol (science); Mobile computing; Computer security model; Computer security; Information security","score_opus":0.008415199226316155,"score_gpt":0.273427952232882,"score_spread":0.26501275300656585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083836487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001239218,0.000022321314,0.98786116,0.000082146704,0.00022724552,0.010439502,0.0000025395245,0.00003308666,0.000092805516],"genre_scores_gemma":[0.57352656,0.0000022694808,0.41043848,0.00016160955,0.0034058776,0.012438889,0.0000018237841,0.000010027226,0.000014464979],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991234,0.000027211114,0.00037722447,0.00017509471,0.00012221519,0.00017485996],"domain_scores_gemma":[0.99889255,0.000107715176,0.00037735305,0.0001583466,0.0003639521,0.000100111356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004101475,0.000096472024,0.00018415402,0.00003898567,0.00025166664,0.0001540298,0.0003604921,0.000060352468,0.0000011263476],"category_scores_gemma":[0.0000018963519,0.00008277788,0.00007685413,0.00026691493,0.000027074519,0.0002190178,0.00007309327,0.00024952332,0.0000012171395],"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":[0.000059836726,0.0004339058,0.002410615,0.00009863101,0.00011496503,0.0000020509112,0.00073803775,0.020668676,0.00029957178,0.27364373,0.03130648,0.6702235],"study_design_scores_gemma":[0.0004972786,0.00026562528,0.00093267864,0.000026734959,0.0000067351043,0.00015538407,0.0000062569466,0.7477832,0.000022928552,0.009241254,0.24095687,0.00010504801],"about_ca_topic_score_codex":0.000002558751,"about_ca_topic_score_gemma":0.0000058986343,"teacher_disagreement_score":0.7271145,"about_ca_system_score_codex":0.000012491882,"about_ca_system_score_gemma":0.0000564609,"threshold_uncertainty_score":0.33755842},"labels":[],"label_agreement":null},{"id":"W2152125372","doi":"10.1016/j.jnca.2004.04.002","title":"ACAI: agent-based context-aware infrastructure for spontaneous applications","year":2004,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":118,"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; Context (archaeology); Provisioning; Context management; Ubiquitous computing; Ontology; Context model; Service (business); Parallels; Context awareness; State (computer science); Human–computer interaction; Computer security; Knowledge management; Artificial intelligence; Computer network; Object (grammar); Business; Phone","score_opus":0.013295310568057704,"score_gpt":0.24380701498108692,"score_spread":0.2305117044130292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152125372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015550487,0.00050380005,0.99508244,0.001510925,0.00023688874,0.0009681294,0.00001640584,0.00007528164,0.000051112187],"genre_scores_gemma":[0.8686345,0.000036336973,0.12797324,0.0013736609,0.0015604165,0.00036988535,0.000012095843,0.000018320972,0.000021511156],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855644,0.000048688904,0.00057771,0.0003152738,0.00023388052,0.0002679957],"domain_scores_gemma":[0.9980057,0.00033728944,0.00054381666,0.00041756986,0.00048304017,0.00021261173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028163128,0.00019365753,0.00034520632,0.00013406973,0.00033666368,0.00022768654,0.00071458484,0.00010626132,0.000004043404],"category_scores_gemma":[0.00000417506,0.0001804628,0.00018035005,0.00045587955,0.00006038347,0.00030262175,0.00010301551,0.00023761693,0.000009422855],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039539595,0.00023093304,0.00029926284,0.0000681256,0.00014488393,0.000028913773,0.00027782272,0.023358932,0.00006267347,0.04139367,0.006038934,0.9280563],"study_design_scores_gemma":[0.0050813467,0.00076718896,0.004730422,0.00029083545,0.00015648591,0.0055869413,0.00011988648,0.087077975,0.00019208076,0.068709806,0.82641184,0.0008752039],"about_ca_topic_score_codex":0.0000042980614,"about_ca_topic_score_gemma":0.00001596056,"teacher_disagreement_score":0.9271811,"about_ca_system_score_codex":0.000102024365,"about_ca_system_score_gemma":0.00023077018,"threshold_uncertainty_score":0.73590595},"labels":[],"label_agreement":null},{"id":"W2256450136","doi":"10.1016/j.jnca.2016.01.021","title":"Channel selection using a multiple radio model","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"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":"Rendezvous; Computer science; Channel (broadcasting); Set (abstract data type); A priori and a posteriori; Selection (genetic algorithm); Radio channel; Computer network; Algorithm; Artificial intelligence","score_opus":0.019522406037707597,"score_gpt":0.23600917757958292,"score_spread":0.21648677154187532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256450136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008213606,0.00034660814,0.9905675,0.000566123,0.00013147175,0.000109103436,5.2194486e-7,0.000030163945,0.00003490413],"genre_scores_gemma":[0.79820293,0.00018847061,0.1999874,0.00015625391,0.0014391803,0.0000029805371,1.3868774e-7,0.0000075505736,0.000015081755],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991382,0.00003849982,0.00029096619,0.00018112408,0.000135429,0.00021579249],"domain_scores_gemma":[0.9991944,0.00014412691,0.0002338593,0.00013648787,0.00017427346,0.00011687296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022309598,0.00010499823,0.0001790628,0.000083496474,0.00021801595,0.000093953844,0.00022007503,0.000042780066,7.451521e-7],"category_scores_gemma":[0.0000026428888,0.000074601914,0.00007624926,0.0003072466,0.00003202651,0.00032495728,0.000082989005,0.00010687921,0.0000011222147],"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":[0.000026069742,0.00010712486,0.001183116,0.000007867091,0.00010861134,0.000008334922,0.00023357556,0.28937113,0.00096120534,0.02431451,0.0026294244,0.68104905],"study_design_scores_gemma":[0.00037542955,0.000057772442,0.0007218551,0.00005910688,0.000014839248,0.00043695667,0.000001473427,0.98443234,0.0000295213,0.012313446,0.0014517064,0.000105539395],"about_ca_topic_score_codex":0.0000015909595,"about_ca_topic_score_gemma":0.0000032614485,"teacher_disagreement_score":0.7905801,"about_ca_system_score_codex":0.000050222872,"about_ca_system_score_gemma":0.00005659286,"threshold_uncertainty_score":0.30421776},"labels":[],"label_agreement":null},{"id":"W2522532078","doi":"10.1016/j.jnca.2016.02.016","title":"Machine-to-Machine (M2M) communications: A survey","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":212,"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":"Machine to machine; Computer science; Standardization; Automation; Control communications; Personal Communications Service; Communications system; Wireless; Telecommunications; Visible light communication; Intelligent transportation system; Dedicated short-range communications; Home automation; Computer network; Wireless network; Computer security; Internet of Things; Wi-Fi array","score_opus":0.01916091338842759,"score_gpt":0.2593261608332589,"score_spread":0.24016524744483128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522532078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044099786,0.0023215376,0.9947309,0.00073758606,0.0001317817,0.0009872422,0.000015546568,0.00004817862,0.00058626727],"genre_scores_gemma":[0.89562315,0.0045847804,0.09539258,0.00075768784,0.0024584262,0.0009759308,0.000014997555,0.00006238208,0.00013003784],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992316,0.00006949484,0.00036143098,0.00008039278,0.00009174585,0.0001653444],"domain_scores_gemma":[0.9989564,0.00031423182,0.00009003293,0.00039514113,0.00010265171,0.00014155076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657029,0.000109070315,0.00019235694,0.000056825247,0.000108633525,0.00004408536,0.00039949425,0.000045356654,0.000010525143],"category_scores_gemma":[0.0000030588646,0.00007494336,0.000049525996,0.00024551415,0.000030993935,0.0000785644,0.000101303616,0.0001496662,0.000017738868],"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":[0.000038765367,0.00007697489,0.009335546,0.000022012788,0.00013479224,0.0000016724192,0.000077994955,0.021379095,0.000049894523,0.004807369,0.059569404,0.9045065],"study_design_scores_gemma":[0.0007426424,0.00014924727,0.030631095,0.00017236368,0.000023381039,0.0000792843,0.0000012659423,0.093564816,0.000007727094,0.0042159725,0.8701756,0.00023660954],"about_ca_topic_score_codex":0.0000044768203,"about_ca_topic_score_gemma":0.000024919016,"teacher_disagreement_score":0.9042699,"about_ca_system_score_codex":0.000022128965,"about_ca_system_score_gemma":0.000012628918,"threshold_uncertainty_score":0.30561015},"labels":[],"label_agreement":null},{"id":"W2531669634","doi":"10.1016/j.jnca.2016.10.004","title":"Compressive sensing based data quality improvement for crowd-sensing applications","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","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":"McGill University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Missing data; Compressed sensing; Data quality; Data mining; Variety (cybernetics); Quality (philosophy); Artificial intelligence; Machine learning","score_opus":0.026660297955409095,"score_gpt":0.27331323960299425,"score_spread":0.24665294164758517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531669634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010049166,0.00035957617,0.99746567,0.00044757515,0.00011106966,0.00040438405,0.000039986437,0.0001163115,0.000050482555],"genre_scores_gemma":[0.6921112,0.00019694606,0.30594644,0.0002716907,0.0013648745,0.000029139905,0.000034794866,0.000031453812,0.000013457367],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910927,0.000015592146,0.00044363784,0.00015377799,0.00010271659,0.00017503211],"domain_scores_gemma":[0.9988496,0.00028385076,0.00018832966,0.0004204083,0.00019730162,0.00006053239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024320971,0.00011350879,0.00019984558,0.00006335714,0.00016898906,0.000052493982,0.00026473263,0.00006493239,0.0000018223387],"category_scores_gemma":[0.0000063375865,0.00008552204,0.000050310657,0.00015942594,0.0000601448,0.00011547837,0.0000798646,0.000085294494,0.0000013800307],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011449612,0.00002207389,0.000104134066,0.00006249455,0.00007678674,5.255609e-7,0.000019791652,0.01857185,0.0018529953,0.0041371584,0.00877318,0.96636754],"study_design_scores_gemma":[0.0013097842,0.000086161555,0.0007405506,0.00014981964,0.000095301104,0.000029242365,0.000044125944,0.6986835,0.0030014224,0.010656846,0.28486657,0.0003367092],"about_ca_topic_score_codex":0.0000011316021,"about_ca_topic_score_gemma":0.000003154493,"teacher_disagreement_score":0.96603084,"about_ca_system_score_codex":0.000036275935,"about_ca_system_score_gemma":0.00002407215,"threshold_uncertainty_score":0.34874877},"labels":[],"label_agreement":null},{"id":"W2586830215","doi":"10.1016/j.jnca.2017.02.004","title":"Compatibility-based static VM placement minimizing interference","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Cloud Computing and Resource Management","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":"University of Manitoba","funders":"","keywords":"Computer science; CloudSim; Cloud computing; Scheduling (production processes); Virtual machine; Distributed computing; Cache; Operating system","score_opus":0.023219166800451566,"score_gpt":0.269333514225812,"score_spread":0.24611434742536042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586830215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03548752,0.00014791521,0.96162695,0.0019204357,0.00025810045,0.00017278705,4.522256e-7,0.000029330506,0.00035648653],"genre_scores_gemma":[0.8199253,0.000010264337,0.17908883,0.00046083826,0.00047045143,0.000009311407,4.261957e-7,0.000005125204,0.000029431023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883544,0.00006403022,0.0004410534,0.00023319245,0.00021412813,0.00021215904],"domain_scores_gemma":[0.99817854,0.00017608947,0.00064289925,0.00073615095,0.00013639756,0.00012991736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618932,0.0001280977,0.00023275471,0.00006817565,0.00062520336,0.000529021,0.0012955498,0.000028059367,0.0000022025358],"category_scores_gemma":[0.000006003588,0.00010649243,0.00008125165,0.000093574854,0.000082525694,0.00005681126,0.00052003644,0.00018295264,0.000004121552],"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":[0.000035422232,0.0004367443,0.008718396,0.00011504067,0.00017324404,0.000025447824,0.0008969962,0.3290655,0.000016815271,0.033446915,0.012273834,0.6147956],"study_design_scores_gemma":[0.0005780465,0.00021301922,0.014109159,0.00015185798,0.000023476123,0.000025252995,0.000020112031,0.96428114,0.000010015624,0.0037799992,0.016657485,0.0001504094],"about_ca_topic_score_codex":0.000004648293,"about_ca_topic_score_gemma":0.000002303389,"teacher_disagreement_score":0.7844378,"about_ca_system_score_codex":0.000031802745,"about_ca_system_score_gemma":0.000048042177,"threshold_uncertainty_score":0.5101362},"labels":[],"label_agreement":null},{"id":"W2587799916","doi":"10.1016/j.jnca.2017.01.004","title":"Impact of time synchronization error on the mode-shape identification and damage detection/localization in WSNs for structural health monitoring","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Structural Health Monitoring Techniques","field":"Engineering","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":"Memorial University of Newfoundland","funders":"Qatar National Research Fund; National Research Foundation","keywords":"Computer science; Structural health monitoring; Synchronization (alternating current); Wireless sensor network; Node (physics); Fast Fourier transform; Real-time computing; Signal processing; Transmission (telecommunications); Identification (biology); Sensor node; Key distribution in wireless sensor networks; Wireless; Algorithm; Telecommunications; Computer hardware; Digital signal processing; Computer network; Materials science; Acoustics; Wireless network; Channel (broadcasting); Physics","score_opus":0.021447498150142862,"score_gpt":0.33245222987835626,"score_spread":0.3110047317282134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587799916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66353756,0.00014588537,0.33570653,0.00009144992,0.00013603432,0.00035413043,0.000004608817,0.000021278955,0.0000025556894],"genre_scores_gemma":[0.99464184,0.000241369,0.004484312,0.000006167608,0.00058071676,0.000029727298,0.000002812782,0.00001198801,0.0000010759628],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993657,0.000022803544,0.00034388033,0.00007837667,0.00007817082,0.0001110791],"domain_scores_gemma":[0.99926496,0.0000861257,0.00032971083,0.00017702242,0.00009712066,0.000045094297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018812786,0.00008116076,0.00014479263,0.00006705438,0.0003055518,0.00006755429,0.00013598657,0.000041916395,6.3845914e-7],"category_scores_gemma":[0.000008479344,0.00006218966,0.00003226919,0.00008067022,0.000030439563,0.00015202316,0.000020214316,0.00011134275,1.1347647e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037769012,0.000014274311,0.024365295,0.00015365379,0.000053423482,1.8830171e-7,0.00044198593,0.47726503,0.00042926116,0.0004880281,0.00041240273,0.4963387],"study_design_scores_gemma":[0.00010886415,0.000086947366,0.28778914,0.00007559982,0.000005570753,0.000005569698,0.0000042144948,0.7100096,0.00010637694,0.0017403617,0.00002829039,0.0000394917],"about_ca_topic_score_codex":0.000018276236,"about_ca_topic_score_gemma":0.0000034666948,"teacher_disagreement_score":0.4962992,"about_ca_system_score_codex":0.00010911705,"about_ca_system_score_gemma":0.000019730587,"threshold_uncertainty_score":0.2536021},"labels":[],"label_agreement":null},{"id":"W2766070192","doi":"10.1016/j.jnca.2017.08.005","title":"Editorial: 2016 Best Paper Awards","year":2017,"lang":"en","type":"editorial","venue":"Journal of Network and Computer Applications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"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":"Canadian Natural Resources Limited; National Science Foundation","keywords":"Computer science; Computer network; Cognitive radio; Routing protocol; Zone Routing Protocol; Dynamic Source Routing; Routing Information Protocol; Exploit; Overhead (engineering); Metrics; Routing (electronic design automation); Node (physics); Routing table; Distributed computing; Wireless; Telecommunications; Computer security","score_opus":0.008073929037628486,"score_gpt":0.25656724518003765,"score_spread":0.24849331614240916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766070192","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.972574e-7,0.0022763894,0.43424883,0.00025381538,0.5625771,0.0001265902,0.000006028142,0.000022369046,0.00048803893],"genre_scores_gemma":[0.00007143515,0.006018026,0.022283463,0.000087024084,0.971199,0.000012888761,0.000013065484,0.000032346194,0.00028278647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99740124,0.00010181154,0.00073593,0.0004794424,0.00084521546,0.0004363792],"domain_scores_gemma":[0.9959341,0.0007664665,0.0011214508,0.0008533189,0.001050476,0.00027413212],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007990284,0.00036504617,0.000733061,0.00012793989,0.00065767113,0.0010662733,0.0016050648,0.00055984047,0.000003467001],"category_scores_gemma":[0.00003283232,0.00031308996,0.00027560964,0.0001828219,0.000118814314,0.0005762867,0.0004978379,0.0013083345,0.000016281767],"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":[0.00000776881,0.00004485357,0.0000029590133,0.000013721331,0.000103077735,0.000011831166,0.000029123834,0.00019293248,8.469391e-7,0.0010634101,0.86353105,0.13499843],"study_design_scores_gemma":[0.00043787915,0.000204775,0.000022990156,0.00037453842,0.00010041407,0.00005998715,0.000001475618,0.0058212876,3.298365e-7,0.0055439197,0.98710763,0.00032477945],"about_ca_topic_score_codex":0.000015276173,"about_ca_topic_score_gemma":0.000015722586,"teacher_disagreement_score":0.41196537,"about_ca_system_score_codex":0.00007741361,"about_ca_system_score_gemma":0.00064976496,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W2778003214","doi":"10.1016/j.jnca.2017.12.016","title":"Zero-queue ethernet congestion control protocol based on available bandwidth estimation","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Network Traffic and Congestion Control","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":"Ericsson (Canada); Research Canada; Université du Québec à Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Ethernet flow control; HOL; Network interface controller; Packet loss; Network packet; Ethernet; Router; Network congestion; Embedded system","score_opus":0.012501517739704591,"score_gpt":0.25789552673840205,"score_spread":0.24539400899869745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778003214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011092488,0.000044245346,0.9896322,0.0022944717,0.00021545043,0.006826853,0.0000015337567,0.000056564342,0.0008177443],"genre_scores_gemma":[0.8833943,0.000013940113,0.104602434,0.0016190404,0.001741865,0.008387407,0.000002690071,0.000020822818,0.00021746743],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860126,0.00011370165,0.00046552435,0.00027590644,0.00030201755,0.00024160878],"domain_scores_gemma":[0.99776995,0.0002760354,0.00083568174,0.0006821966,0.0002596162,0.00017648883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071984687,0.00017978353,0.00029714665,0.00007526951,0.0006353769,0.0006116916,0.00084256654,0.0000951844,0.000015126044],"category_scores_gemma":[0.00001312024,0.00015018012,0.00009602145,0.00010689148,0.00008450701,0.00043363628,0.000063725325,0.0002793523,0.00003375533],"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":[0.00009223497,0.00015740396,0.0010844283,0.000017268329,0.000046352045,0.000007630393,0.000033145625,0.27173072,0.0000058193496,0.0407748,0.019264422,0.6667858],"study_design_scores_gemma":[0.0022246307,0.00033896972,0.003205432,0.00010075944,0.00002612168,0.000034407432,5.428365e-7,0.93686265,0.000004364399,0.00488861,0.05216472,0.00014881398],"about_ca_topic_score_codex":0.0000029249195,"about_ca_topic_score_gemma":0.0000022783915,"teacher_disagreement_score":0.8850298,"about_ca_system_score_codex":0.000033988257,"about_ca_system_score_gemma":0.00012682372,"threshold_uncertainty_score":0.6124167},"labels":[],"label_agreement":null},{"id":"W2789858278","doi":"10.1016/j.jnca.2018.01.004","title":"Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey","year":2018,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":69,"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":"Natural Science Basic Research Program of Shaanxi Province; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Academy of Finland; National Natural Science Foundation of China","keywords":"Computer science; Mobile ad hoc network; Computer security; Data collection; Trustworthiness; Data security; Computer network; Encryption; Network packet","score_opus":0.05595645844568747,"score_gpt":0.2953006636702692,"score_spread":0.23934420522458172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789858278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020432716,0.009013064,0.96925735,0.00012847812,0.0004934202,0.0006334486,0.0000052479036,0.000027286105,0.000008964126],"genre_scores_gemma":[0.9467931,0.0033829636,0.047525622,0.0002007503,0.0019706453,0.000098820165,0.000009757201,0.000015114275,0.0000032775265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984203,0.0001822618,0.0005086373,0.0003775447,0.00024140357,0.00026986175],"domain_scores_gemma":[0.9981527,0.00033167438,0.00034557248,0.0005154885,0.0005333073,0.000121257435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020083366,0.000145347,0.00027084042,0.00011176377,0.0002831639,0.00020086826,0.00062751526,0.0001028325,7.8724673e-7],"category_scores_gemma":[0.000014703686,0.00014256594,0.000036710775,0.0006958222,0.000082956925,0.0003822009,0.00031667476,0.00023849052,6.59255e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023341933,0.00040305807,0.0056387344,0.00005358342,0.00017348664,0.0000034732013,0.0011152601,0.019593975,0.000027683109,0.00067620224,0.029571155,0.94250995],"study_design_scores_gemma":[0.00067225174,0.0004832389,0.01970969,0.000057902864,0.000018917794,0.00009449909,0.000012016136,0.9203569,0.000005772244,0.0015447858,0.056887954,0.00015605568],"about_ca_topic_score_codex":0.00000618341,"about_ca_topic_score_gemma":0.0010516393,"teacher_disagreement_score":0.9423539,"about_ca_system_score_codex":0.00007632148,"about_ca_system_score_gemma":0.00005618037,"threshold_uncertainty_score":0.581367},"labels":[],"label_agreement":null},{"id":"W2792952162","doi":"10.1016/j.jnca.2018.03.021","title":"Resource management in cellular base stations powered by renewable energy sources","year":2018,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Carbon footprint; Computer science; Greenhouse gas; Fossil fuel; Environmental economics; Energy consumption; Energy source; Environmental science; Engineering; Electrical engineering; Waste management","score_opus":0.004835499060423113,"score_gpt":0.18494361682671237,"score_spread":0.18010811776628927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792952162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008063069,0.00228838,0.9857161,0.00007933445,0.0001240025,0.000070743,0.000002160389,0.00005526464,0.003600963],"genre_scores_gemma":[0.91476816,0.0011074492,0.08069055,0.00032826138,0.0024148184,0.00005350298,0.000025789446,0.000053717507,0.00055772415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914515,0.000035349378,0.00037051388,0.00011992506,0.00011783966,0.00021120685],"domain_scores_gemma":[0.9994885,0.00008215488,0.000106047184,0.00017442109,0.000050804152,0.000098085715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017488725,0.00011374368,0.00015616193,0.00009482374,0.00010710222,0.00005758908,0.00018932502,0.000052594434,0.0000092743685],"category_scores_gemma":[6.862314e-7,0.00011610803,0.000033343622,0.00035125238,0.000051508698,0.00007675971,0.00004724462,0.00012378233,0.0000015932214],"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":[0.0000057993325,0.0000383637,0.0002610356,0.000013173287,0.00006293196,0.000006391094,0.00009115214,0.8664447,0.00008426227,0.0023077289,0.10702728,0.02365717],"study_design_scores_gemma":[0.00039050617,0.000063249056,0.00044614126,0.00010058834,0.000029673543,0.000020384583,0.000040923223,0.3747487,0.00015640087,0.0022194532,0.6216072,0.00017676743],"about_ca_topic_score_codex":0.000016411002,"about_ca_topic_score_gemma":0.000039975323,"teacher_disagreement_score":0.90670514,"about_ca_system_score_codex":0.00003279702,"about_ca_system_score_gemma":0.0000071547483,"threshold_uncertainty_score":0.4734748},"labels":[],"label_agreement":null},{"id":"W2798046670","doi":"10.1016/j.jnca.2018.04.005","title":"A Pareto optimization-based approach to clustering and routing in Wireless Sensor Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":78,"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; Cluster analysis; Routing protocol; Scalability; Wireless sensor network; Routing (electronic design automation); Multi-objective optimization; Node (physics); Throughput; Protocol (science); Energy consumption; Mathematical optimization; Tree (set theory); Distributed computing; Wireless; Computer network; Mathematics; Artificial intelligence","score_opus":0.010213659779762138,"score_gpt":0.22188216298978652,"score_spread":0.2116685032100244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798046670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052198423,0.00012830336,0.99364644,0.0002949495,0.00017581554,0.00023442566,2.8370752e-7,0.000040089097,0.00025984805],"genre_scores_gemma":[0.56910455,0.00002929952,0.4294546,0.0004944099,0.0008862308,0.000015275587,0.000001080072,0.000010624214,0.0000039526203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985015,0.00009558765,0.00052087486,0.00034580484,0.00018668317,0.00034955112],"domain_scores_gemma":[0.9988081,0.00020289936,0.00027178237,0.0003048057,0.00020357165,0.00020887538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046993815,0.00017110567,0.00028857536,0.00016665942,0.00023015788,0.00023968467,0.00046006468,0.000086785636,5.736414e-7],"category_scores_gemma":[0.0000036359488,0.0001622721,0.000043168846,0.00088942464,0.000073358846,0.00016215458,0.00024897527,0.0002298378,6.080703e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106684065,0.00005620954,0.0015438895,0.000006003924,0.000011177576,0.000002589874,0.00016905685,0.9756053,0.0000024475387,0.0040872903,0.00017375113,0.018331615],"study_design_scores_gemma":[0.00036667995,0.00010195396,0.0014471398,0.00009982178,0.000008132384,0.000074447584,0.000014404242,0.99718434,0.0000026208684,0.000043566426,0.00048774353,0.00016916472],"about_ca_topic_score_codex":0.0000054719203,"about_ca_topic_score_gemma":0.000010699804,"teacher_disagreement_score":0.5641919,"about_ca_system_score_codex":0.00003909495,"about_ca_system_score_gemma":0.00003756572,"threshold_uncertainty_score":0.6617264},"labels":[],"label_agreement":null},{"id":"W2952844932","doi":"10.1016/j.jnca.2019.06.007","title":"A reversible sketch-based method for detecting and mitigating amplification attacks","year":2019,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Network Security and Intrusion Detection","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":"University of Alberta","funders":"National Key Research and Development Program of China; Academy of Finland; National Natural Science Foundation of China","keywords":"Computer science; Sketch; Network packet; Big data; Volume (thermodynamics); Computer security; Hash function; Throughput; Data mining; Real-time computing; Algorithm; Telecommunications","score_opus":0.015401006613995278,"score_gpt":0.2718874088900958,"score_spread":0.25648640227610053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952844932","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012930218,0.00036601862,0.9853823,0.0006668856,0.0002056439,0.00035185943,6.136285e-7,0.000029026367,0.00006744407],"genre_scores_gemma":[0.2013208,0.000052932064,0.7974301,0.0004423418,0.00069802353,0.00002919762,0.0000011852751,0.0000075208245,0.000017924805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990775,0.00006756025,0.00034735206,0.00022188961,0.00012123901,0.0001644401],"domain_scores_gemma":[0.99864584,0.00047442978,0.0003886267,0.00020774295,0.00019381716,0.000089549525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007489615,0.000095658725,0.00018415276,0.00008412101,0.0002673794,0.00016192197,0.00023828131,0.00006211739,0.0000023024083],"category_scores_gemma":[0.0000066974544,0.000090463946,0.00006911899,0.00031861433,0.000019241801,0.00027506135,0.00007829089,0.00017125632,0.0000017390041],"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":[0.000035193632,0.00005668091,0.0013708558,0.00010288375,0.00005269669,4.996595e-7,0.0003265304,0.020219015,0.0009836128,0.0408173,0.0023544482,0.9336803],"study_design_scores_gemma":[0.00050043553,0.00024002191,0.0012876338,0.000081378916,0.000019790255,0.00007587916,0.000017959339,0.9440402,0.00024146278,0.015261618,0.038111378,0.0001222917],"about_ca_topic_score_codex":0.000002342292,"about_ca_topic_score_gemma":0.0000020404632,"teacher_disagreement_score":0.933558,"about_ca_system_score_codex":0.000020778054,"about_ca_system_score_gemma":0.000036749276,"threshold_uncertainty_score":0.36890128},"labels":[],"label_agreement":null},{"id":"W2981399413","doi":"10.1016/j.jnca.2019.102471","title":"Sidechain technologies in blockchain networks: An examination and state-of-the-art review","year":2019,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":355,"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":"Blockchain; Computer science; Scalability; Viewpoints; Context (archaeology); Computer security; Protocol (science); State (computer science); The Internet; Architecture; Domain (mathematical analysis); Data science; World Wide Web; Database","score_opus":0.006253020624384724,"score_gpt":0.22375068162039083,"score_spread":0.2174976609960061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981399413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08255178,0.014845404,0.899212,0.0024963273,0.0000808292,0.0007080452,8.059578e-7,0.00006191688,0.000042880074],"genre_scores_gemma":[0.95362294,0.0059416513,0.039992422,0.00030535227,0.000053085478,0.00005926531,8.0818836e-7,0.0000066603166,0.00001782401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989038,0.000094640156,0.0004917313,0.00021819868,0.00013230184,0.00015931223],"domain_scores_gemma":[0.9987506,0.00012812861,0.0004213219,0.0005368177,0.00012575253,0.00003733257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089438044,0.00010884913,0.00027515425,0.00011709595,0.000082145525,0.000030304269,0.0007307519,0.00008450215,7.471239e-7],"category_scores_gemma":[0.000006043569,0.00008398712,0.00004236485,0.00082635775,0.00010388806,0.00011477731,0.00031489687,0.00030768692,8.213181e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002377818,0.00012015821,0.0065706503,0.00009830519,0.000018930878,0.0000011153925,0.00010948549,0.006035372,0.000024143175,0.088584594,0.0008027693,0.8976321],"study_design_scores_gemma":[0.0006779668,0.0003661737,0.05011827,0.0010155465,0.000034363984,0.00028289054,0.000056735684,0.8044327,0.00007309474,0.122675985,0.01992985,0.00033643283],"about_ca_topic_score_codex":0.0000012680243,"about_ca_topic_score_gemma":0.000009959052,"teacher_disagreement_score":0.89729565,"about_ca_system_score_codex":0.0000173861,"about_ca_system_score_gemma":0.000029369226,"threshold_uncertainty_score":0.34248954},"labels":[],"label_agreement":null},{"id":"W3012191338","doi":"10.1016/j.jnca.2020.102593","title":"MuSC: A multi-stage service chains embedding approach","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network virtualization; Virtual network; Chaining; Interoperability; Scalability; Distributed computing; Provisioning; Computer network; Network service; Quality of service; Integer programming; Virtualization; Operating system","score_opus":0.05026660758654349,"score_gpt":0.2753061975881929,"score_spread":0.22503959000164941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012191338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010402041,0.0009275425,0.99505454,0.002440345,0.00012894555,0.00019478344,0.0000015983413,0.00008921792,0.00012280884],"genre_scores_gemma":[0.13970017,0.00020503257,0.8497223,0.007511241,0.0027786149,0.000028891174,0.0000035696087,0.000018754694,0.000031392246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877334,0.000051798248,0.00042370945,0.00028529653,0.00020133625,0.00026452055],"domain_scores_gemma":[0.99881333,0.00012037704,0.00032249524,0.00027328727,0.00017533431,0.00029515583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023431594,0.00015896656,0.0002788068,0.00005007293,0.00021882025,0.00020826005,0.0007933731,0.00006669749,0.0000029267042],"category_scores_gemma":[0.0000034169154,0.00013832768,0.00009683071,0.0007881469,0.000023539931,0.00027640848,0.00031761682,0.00030594916,0.000007130261],"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":[0.000038749502,0.0004959703,0.00314363,0.00018716347,0.0002802167,0.000041205123,0.0055393623,0.5557423,0.000064928856,0.1051858,0.0276217,0.30165893],"study_design_scores_gemma":[0.00046016683,0.00007862782,0.0014459509,0.000022673803,0.000016056661,0.00007675505,0.000027455884,0.945592,0.0000018546231,0.00034477483,0.051783897,0.00014979792],"about_ca_topic_score_codex":0.0000025523827,"about_ca_topic_score_gemma":0.0000011663828,"teacher_disagreement_score":0.38984963,"about_ca_system_score_codex":0.000015179893,"about_ca_system_score_gemma":0.00005050229,"threshold_uncertainty_score":0.5640839},"labels":[],"label_agreement":null},{"id":"W3047132966","doi":"10.1016/j.jnca.2020.102767","title":"Deep learning methods in network intrusion detection: A survey and an objective comparison","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":366,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Deep learning; Artificial intelligence; Machine learning; Autoencoder; Intrusion detection system; Inference; Deep belief network; Artificial neural network; Task (project management); Data mining","score_opus":0.027675802204362356,"score_gpt":0.31519942036772536,"score_spread":0.287523618163363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047132966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016775232,0.00176001,0.9807103,0.00025215163,0.00023303431,0.00018503513,1.4631567e-7,0.00004371371,0.000040370312],"genre_scores_gemma":[0.73548186,0.0005219122,0.2616298,0.00045275732,0.0018877775,0.000013133369,0.000001560332,0.000009742053,0.0000014665882],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978809,0.0008360634,0.0005637809,0.0003203961,0.00016099721,0.0002378576],"domain_scores_gemma":[0.99861026,0.00043111944,0.00040162614,0.00015521575,0.00016510524,0.00023669742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013616544,0.00015023201,0.00035801483,0.00008378672,0.00035001966,0.00020826049,0.0003295037,0.000102001344,0.0000033332128],"category_scores_gemma":[0.000018482428,0.00014315244,0.000048037917,0.0010513058,0.000049124556,0.00048148155,0.00027085704,0.00065951684,0.0000013358732],"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":[0.00006932385,0.0000535447,0.010308815,0.00000952809,0.00002553766,0.0000030732726,0.0014132296,0.12795395,0.000048137164,0.0018633975,0.00018499634,0.8580665],"study_design_scores_gemma":[0.000346179,0.0006435296,0.060672835,0.000023916953,0.000009828583,0.000074846525,0.000035979287,0.92593724,0.00002284664,0.004102001,0.007982237,0.00014855951],"about_ca_topic_score_codex":0.000017936774,"about_ca_topic_score_gemma":0.00012312106,"teacher_disagreement_score":0.8579179,"about_ca_system_score_codex":0.000028854905,"about_ca_system_score_gemma":0.000025795282,"threshold_uncertainty_score":0.5837587},"labels":[],"label_agreement":null},{"id":"W3088168609","doi":"10.1016/j.jnca.2020.102842","title":"AI-driven data security and privacy","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","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":"St. Francis Xavier University","funders":"Higher Education Discipline Innovation Project; Academy of Finland; National Natural Science Foundation of China","keywords":"Computer science; Computer security; Information privacy; Internet privacy","score_opus":0.02605325866840297,"score_gpt":0.25887358968519114,"score_spread":0.23282033101678817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088168609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040728934,0.0010689448,0.9811758,0.01333346,0.00013312671,0.0001257415,0.000002135226,0.000035168097,0.000052770432],"genre_scores_gemma":[0.85274523,0.0016581961,0.13380635,0.007646676,0.004119165,0.000006390076,0.0000053926356,0.000009492041,0.0000030837866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991112,0.000053194217,0.0003026675,0.00024900088,0.00014930424,0.00013463595],"domain_scores_gemma":[0.99906415,0.000074772506,0.00020252327,0.00035983094,0.000094181705,0.0002045159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002031052,0.00009114031,0.00017474123,0.000031483578,0.00018446846,0.00019604256,0.0008383079,0.000046523746,0.0000036119027],"category_scores_gemma":[0.0000041403837,0.00008108881,0.00002996619,0.00031930945,0.000041941817,0.00060779694,0.0009117698,0.00027731276,0.0000034335558],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044659228,0.00015626368,0.0018179256,0.00007019622,0.00014585878,0.000021851627,0.003121942,0.0032516615,0.000059585996,0.11563286,0.14721164,0.72846556],"study_design_scores_gemma":[0.00022768725,0.00014584542,0.00089282467,0.000017798895,0.000014945034,0.00014209967,0.0000048960655,0.6841857,0.000004821144,0.016710432,0.29756212,0.000090824644],"about_ca_topic_score_codex":0.0000012936682,"about_ca_topic_score_gemma":0.0000011947685,"teacher_disagreement_score":0.8486724,"about_ca_system_score_codex":0.0000062493373,"about_ca_system_score_gemma":0.000032454205,"threshold_uncertainty_score":0.33067057},"labels":[],"label_agreement":null},{"id":"W3195830083","doi":"10.1016/j.jnca.2021.103181","title":"Deep Q-Network and Traffic Prediction based Routing Optimization in Software Defined Networks","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":38,"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; École de Technologie Supérieure","funders":"Fonds Unique Interministériel","keywords":"Computer science; Emulation; Quality of service; Software-defined networking; Reinforcement learning; Network traffic control; Computer network; Heuristic; Packet loss; Flexibility (engineering); Network performance; Distributed computing; Routing (electronic design automation); Traffic engineering; Network congestion; Network packet; Artificial intelligence","score_opus":0.008357360873976056,"score_gpt":0.2066400596587064,"score_spread":0.19828269878473034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195830083","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017468045,0.0048057707,0.99233407,0.00044274842,0.00037279,0.00019079361,8.222077e-7,0.00008524304,0.0000209606],"genre_scores_gemma":[0.27742854,0.00095828687,0.71879524,0.0008073846,0.0019291819,0.000032999866,0.00002070496,0.000021092605,0.0000065858153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982105,0.0001444748,0.00068216707,0.00037152815,0.00021240437,0.00037894215],"domain_scores_gemma":[0.9983872,0.0005162718,0.00037513842,0.00030596642,0.00024100795,0.00017441405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055412523,0.00019634062,0.0003463379,0.00009520913,0.00029793155,0.00028116457,0.0002982217,0.00014367054,0.0000044686967],"category_scores_gemma":[0.000015873733,0.00019363513,0.00008592511,0.0011113884,0.00004243076,0.00032242175,0.00017222637,0.00036842396,5.234389e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009603125,0.000055770986,0.008091707,0.000008816888,0.000021385626,0.000013720095,0.000055102315,0.8827717,2.3469164e-7,0.001885622,0.0009928757,0.10609349],"study_design_scores_gemma":[0.00070283667,0.00008808077,0.01394949,0.00014302088,0.000030741754,0.00019311512,0.0000069798675,0.9820676,4.3970462e-7,0.0012139011,0.0014384154,0.00016541283],"about_ca_topic_score_codex":0.0000013624108,"about_ca_topic_score_gemma":0.000013786966,"teacher_disagreement_score":0.27568173,"about_ca_system_score_codex":0.000043874374,"about_ca_system_score_gemma":0.00010409929,"threshold_uncertainty_score":0.7896212},"labels":[],"label_agreement":null},{"id":"W3197576046","doi":"10.1016/j.jnca.2021.103208","title":"SoftIoT: A resource-aware SDN/NFV-based IoT network","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute","keywords":"Computer science; Computer network; Network packet; Quality of service; Software-defined networking; Overhead (engineering)","score_opus":0.010408256784769357,"score_gpt":0.22219586432969818,"score_spread":0.2117876075449288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197576046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000953263,0.004447127,0.99124163,0.0024736717,0.0003915116,0.00014616328,0.0000019868428,0.0000977452,0.00024690354],"genre_scores_gemma":[0.22475486,0.0003959308,0.7515708,0.009973408,0.012944487,0.00007208688,0.000020574342,0.000058096302,0.00020973154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980537,0.00013786885,0.0006282285,0.00038198856,0.00034113997,0.0004570339],"domain_scores_gemma":[0.9978099,0.00051385537,0.00042187105,0.00061705423,0.00035403657,0.00028330207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047246416,0.00021763031,0.00039370215,0.0000730132,0.00041960357,0.00031677933,0.0007340337,0.00012010092,0.0000157109],"category_scores_gemma":[0.0000067768324,0.00019948199,0.00020590254,0.0010839865,0.00006061374,0.00010333564,0.0002990443,0.00041299878,0.000010278521],"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":[0.00002460668,0.00022134048,0.004275002,0.000027761129,0.00014096983,0.00011395946,0.00011707186,0.43375146,0.00000593188,0.033572506,0.20732518,0.32042423],"study_design_scores_gemma":[0.0008167189,0.00017996287,0.0065522464,0.00017897275,0.00005800749,0.0005553446,0.000008983761,0.42101592,0.000012838286,0.015746357,0.5545289,0.00034575944],"about_ca_topic_score_codex":0.0000016090726,"about_ca_topic_score_gemma":0.000004584864,"teacher_disagreement_score":0.3472037,"about_ca_system_score_codex":0.000037020127,"about_ca_system_score_gemma":0.00022306606,"threshold_uncertainty_score":0.8134639},"labels":[],"label_agreement":null},{"id":"W3198682756","doi":"10.1016/j.jnca.2023.103677","title":"The convergence of blockchain, IoT and 6G: Potential, opportunities, challenges and research roadmap","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":114,"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":"Blockchain; Computer science; Internet of Things; Convergence (economics); Telecommunications; Data science; Computer security","score_opus":0.06437177493603462,"score_gpt":0.29537094550453497,"score_spread":0.23099917056850033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198682756","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1557447,0.075471796,0.71941006,0.047938887,0.0002728165,0.000765908,0.0000049330833,0.00014548411,0.00024539535],"genre_scores_gemma":[0.9174562,0.06979502,0.012237185,0.000087929504,0.0003015573,0.0000612202,5.770819e-7,0.000007535448,0.000052772997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988931,0.000107816304,0.00034917556,0.00019997003,0.00022066066,0.00022931879],"domain_scores_gemma":[0.9985558,0.00043389818,0.00020256892,0.0003763465,0.0003223917,0.000108986766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016096582,0.000086460524,0.00017238717,0.000143679,0.0005425197,0.00006822798,0.0005797275,0.000080825164,5.477207e-7],"category_scores_gemma":[0.0000068648455,0.00006532052,0.000030179628,0.00044595273,0.00042818335,0.00004332904,0.0005285784,0.00029047937,8.8244195e-7],"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":[0.000004025054,0.000031606272,0.00008994455,0.000020585012,0.000038924354,0.0000054120146,0.00050944195,0.00012021237,0.000031325806,0.5275486,0.0035777534,0.46802214],"study_design_scores_gemma":[0.00050905533,0.00041415344,0.01705615,0.000086354325,0.00003103439,0.000646693,0.0008929553,0.32312074,0.00005760576,0.4295918,0.227347,0.00024646625],"about_ca_topic_score_codex":0.000002975401,"about_ca_topic_score_gemma":0.000004572332,"teacher_disagreement_score":0.7617115,"about_ca_system_score_codex":0.0000066839375,"about_ca_system_score_gemma":0.000054300843,"threshold_uncertainty_score":0.41726774},"labels":[],"label_agreement":null},{"id":"W4362453048","doi":"10.1016/j.jnca.2023.103631","title":"Network slicing in virtualized 5G Core with VNF sharing","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","field":"Computer Science","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":"Carleton University","funders":"","keywords":"Computer science; Virtual network; Core network; Scalability; Computer network; Network virtualization; Distributed computing; Slicing; Integer programming; Virtualization; Cloud computing; Algorithm; Operating system","score_opus":0.024695586344771044,"score_gpt":0.2529890690122599,"score_spread":0.2282934826674889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362453048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02374305,0.0007378368,0.97404,0.00066261966,0.00021718151,0.00022056709,4.2355862e-7,0.0001303553,0.00024798897],"genre_scores_gemma":[0.82406163,0.000768297,0.16925602,0.0018737816,0.0037939027,0.00008739452,0.000007368103,0.00004271814,0.00010888089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985138,0.000035351724,0.00050152035,0.0002978334,0.00023651565,0.00041498145],"domain_scores_gemma":[0.99877226,0.00031580243,0.00030420176,0.00036264557,0.00010113505,0.00014393803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006228268,0.00016148172,0.0003315191,0.00014855435,0.00022198069,0.0001891733,0.0006935524,0.00006567397,0.000002320722],"category_scores_gemma":[0.0000028082102,0.00013086808,0.00006212468,0.0018727583,0.000037318372,0.0002577668,0.00025269014,0.00031662887,0.000008388773],"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":[0.000052816038,0.000077020915,0.06603651,0.000024390143,0.00008808169,0.000095237316,0.0005893329,0.65403295,0.000007802233,0.13624053,0.026730722,0.1160246],"study_design_scores_gemma":[0.0015258694,0.00033162584,0.0795118,0.0004416716,0.000032233234,0.0003618395,0.000028567545,0.8148729,0.0000016443329,0.064167134,0.038322978,0.0004017093],"about_ca_topic_score_codex":0.0000063464736,"about_ca_topic_score_gemma":0.000015096365,"teacher_disagreement_score":0.80478394,"about_ca_system_score_codex":0.000028090233,"about_ca_system_score_gemma":0.000048534475,"threshold_uncertainty_score":0.5336645},"labels":[],"label_agreement":null},{"id":"W4366824937","doi":"10.1016/j.jnca.2023.103647","title":"Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"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; Maximization; Scheduling (production processes); Relay; Distributed computing; Resource allocation; Optimization problem; Computer network; Power (physics); Mathematical optimization","score_opus":0.036545338253394836,"score_gpt":0.23343911287368307,"score_spread":0.19689377462028823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366824937","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012102378,0.085536174,0.899105,0.0014091717,0.0003604493,0.0004978305,0.0000028400316,0.00027229876,0.0007138396],"genre_scores_gemma":[0.639509,0.32728446,0.030296693,0.00010034669,0.0024999748,0.00012368658,0.00004916594,0.000087753986,0.000048910028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991774,0.0000809476,0.00039630942,0.00010435546,0.00008720234,0.00015378669],"domain_scores_gemma":[0.99933165,0.00020119296,0.00011223078,0.0002144632,0.000064499975,0.00007594608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004399175,0.00010692524,0.00020945056,0.00015252261,0.000066145345,0.00007467862,0.00016869593,0.00007701324,0.0000018684857],"category_scores_gemma":[0.0000017850463,0.000103221166,0.000026795862,0.0005735246,0.00002981467,0.000103649436,0.00006130871,0.00019749238,0.000002593724],"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":[0.000005256875,0.000009515754,0.00060890283,0.000026529631,0.000028116634,0.000001602424,0.00027656963,0.9158324,0.000003971687,0.00087410246,0.0013982952,0.08093476],"study_design_scores_gemma":[0.00024465754,0.000022773369,0.0042621293,0.000104571816,0.000008891677,0.000048785078,0.0001640552,0.82612145,0.0000010694187,0.0002069175,0.16871707,0.00009761326],"about_ca_topic_score_codex":0.000002353186,"about_ca_topic_score_gemma":0.000007533328,"teacher_disagreement_score":0.8688083,"about_ca_system_score_codex":0.00003339765,"about_ca_system_score_gemma":0.0000093424205,"threshold_uncertainty_score":0.4209237},"labels":[],"label_agreement":null},{"id":"W4385728262","doi":"10.1016/j.jnca.2023.103715","title":"Robust COVID-19 vaccination control in a multi-city dynamic transmission network: A novel reinforcement learning-based approach","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"COVID-19 epidemiological studies","field":"Mathematics","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","funders":"Duke Kunshan University","keywords":"Computer science; Reinforcement learning; Vaccination; Transmission (telecommunications); Heuristic; Pandemic; Coronavirus disease 2019 (COVID-19); Control (management); Distributed computing; Computer network; Artificial intelligence; Medicine; Virology; Telecommunications; Disease","score_opus":0.1919535206371509,"score_gpt":0.3835075427019035,"score_spread":0.1915540220647526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385728262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010147035,0.00027780383,0.99530154,0.002552798,0.000039249127,0.0007085434,0.0000017720313,0.00007724097,0.00002634412],"genre_scores_gemma":[0.83381414,0.0003703732,0.16318758,0.0019182058,0.00037485085,0.00022303879,0.000019828645,0.000020849553,0.000071140676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981995,0.0001883859,0.0008094265,0.00024842055,0.0002140765,0.0003401594],"domain_scores_gemma":[0.99683833,0.0021801803,0.0005277312,0.00014912384,0.000113452246,0.00019118383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020998588,0.00017968033,0.00049016793,0.00012463734,0.00033168678,0.00003353767,0.0002073281,0.00011139895,0.000009972497],"category_scores_gemma":[0.00015371297,0.00014145141,0.00013809885,0.0006930237,0.000036005706,0.000060772636,0.0000701887,0.00041723452,0.0000015145052],"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":[0.00006700484,0.00018528866,0.0041706497,0.000098656485,0.00005073098,0.0000023695798,0.00014077305,0.9845192,0.0000045262123,0.001802316,0.0037085386,0.0052499347],"study_design_scores_gemma":[0.00249991,0.00012136628,0.018602058,0.000051427465,0.00005238073,0.000009614778,0.000023132141,0.9572432,1.0082955e-7,0.0073622526,0.013897371,0.00013716207],"about_ca_topic_score_codex":0.000013268098,"about_ca_topic_score_gemma":0.000022567,"teacher_disagreement_score":0.83279943,"about_ca_system_score_codex":0.00019464859,"about_ca_system_score_gemma":0.00008745632,"threshold_uncertainty_score":0.5768221},"labels":[],"label_agreement":null},{"id":"W4386196085","doi":"10.1016/j.jnca.2023.103726","title":"Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","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":"York University","keywords":"Computer science; Cloud computing; Software deployment; Edge computing; Architecture; Analytics; Enhanced Data Rates for GSM Evolution; Context (archaeology); Edge device; Emerging technologies; Data science; Telecommunications; Software engineering; Operating system","score_opus":0.08518014250369885,"score_gpt":0.32521841081028346,"score_spread":0.24003826830658462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386196085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060094964,0.11901743,0.8169267,0.0011071643,0.0017450422,0.00065156806,0.0000041273315,0.0002945144,0.0001584633],"genre_scores_gemma":[0.96665955,0.014591762,0.01819431,0.000056636865,0.000456469,0.00001795776,0.0000065700888,0.000013332909,0.000003412175],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99850947,0.00014396723,0.0006049397,0.00030163533,0.00017490676,0.00026511378],"domain_scores_gemma":[0.99851763,0.0005794878,0.00042468324,0.00025985675,0.0001346477,0.00008371271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008495573,0.0001652588,0.00038036559,0.00033913986,0.00017299976,0.00010184009,0.00062514655,0.00007205459,8.927634e-8],"category_scores_gemma":[0.000014839526,0.00015049662,0.00005051713,0.0010005345,0.000106951804,0.00029560868,0.00084785186,0.00029532248,5.8307336e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022507802,0.00032951104,0.04601727,0.0001394713,0.00007367887,0.000046284065,0.0011608368,0.0023334112,0.000008537038,0.0014931404,0.0037367246,0.9446386],"study_design_scores_gemma":[0.0020237698,0.00056624576,0.6553775,0.00065936125,0.000024432491,0.0008084222,0.00018326672,0.2245088,0.000046517067,0.013639368,0.10152277,0.0006395179],"about_ca_topic_score_codex":0.000059836235,"about_ca_topic_score_gemma":0.00007746656,"teacher_disagreement_score":0.9439991,"about_ca_system_score_codex":0.000029068246,"about_ca_system_score_gemma":0.00007375378,"threshold_uncertainty_score":0.6137074},"labels":[],"label_agreement":null},{"id":"W4386419965","doi":"10.1016/j.jnca.2023.103725","title":"MADDPG-empowered slice reconfiguration approach for 5G multi-tier system","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","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":"École de Technologie Supérieure","funders":"King Saud University; National Natural Science Foundation of China","keywords":"Computer science; Control reconfiguration; Quality of service; Distributed computing; Provisioning; Partition (number theory); Context (archaeology); Computer network; Slicing; Embedded system","score_opus":0.025849656022410263,"score_gpt":0.2530083704667616,"score_spread":0.22715871444435135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386419965","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037400195,0.00050732185,0.997404,0.00033686517,0.00045753096,0.0004857861,0.0000031884183,0.00017521859,0.00025609834],"genre_scores_gemma":[0.21347138,0.00024651535,0.78164,0.00044194664,0.0035841702,0.00032039403,0.000035610916,0.000031738495,0.00022826824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986892,0.0000544721,0.0005161959,0.00027956793,0.00017604257,0.00028456695],"domain_scores_gemma":[0.9986354,0.00025957247,0.00037574454,0.0003341117,0.00025316174,0.00014201921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059483235,0.00014651896,0.00028146294,0.00012445851,0.00030409012,0.00022209347,0.00054368516,0.00009106799,8.063746e-7],"category_scores_gemma":[0.00000414968,0.00012694293,0.00012780224,0.0007183239,0.000024813884,0.00025946074,0.000066799505,0.00015892109,0.000008328124],"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":[0.000059726834,0.00028747434,0.0013197107,0.00027844016,0.00030333461,0.000010779688,0.00093244016,0.18665779,0.0000705297,0.13831969,0.18217549,0.48958462],"study_design_scores_gemma":[0.0006385355,0.00012183086,0.002465645,0.00005215234,0.000024958017,0.00013193193,0.00004018075,0.94369936,0.000008628643,0.0011975344,0.051450785,0.00016846762],"about_ca_topic_score_codex":0.0000019204308,"about_ca_topic_score_gemma":6.038583e-7,"teacher_disagreement_score":0.7570416,"about_ca_system_score_codex":0.000032830143,"about_ca_system_score_gemma":0.000049481292,"threshold_uncertainty_score":0.51765823},"labels":[],"label_agreement":null},{"id":"W4387580797","doi":"10.1016/j.jnca.2023.103763","title":"Two formal design solutions for the generalization of network segmentation","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Segmentation; Distributed computing; Rotation formalisms in three dimensions; Computer network; Generalization; Software-defined networking; Network architecture; Theoretical computer science; Artificial intelligence","score_opus":0.03917906025095204,"score_gpt":0.2740548545161705,"score_spread":0.23487579426521848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387580797","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024178252,0.0012701465,0.99673957,0.00080040627,0.00041447228,0.00046897595,0.0000020856903,0.00005006972,0.000012509112],"genre_scores_gemma":[0.13480332,0.0017727922,0.85747784,0.00074077194,0.004850889,0.00026486831,0.000021854752,0.000022485385,0.000045173238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988313,0.00006732785,0.00046163777,0.00013824752,0.00017640543,0.00032510888],"domain_scores_gemma":[0.998303,0.0007430633,0.00041052102,0.0002360822,0.0002424685,0.00006484438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010554553,0.00010104387,0.00017227417,0.00006767534,0.0005870785,0.00010080373,0.00044100848,0.000040245206,0.0000012931316],"category_scores_gemma":[0.0000045366705,0.00007475974,0.00010255244,0.00090521044,0.000041553252,0.00029655662,0.00016381749,0.00009442472,0.0000017490847],"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":[0.00000964955,0.000018160781,0.00022470683,0.000006437648,0.000049540533,2.917108e-7,0.000111776884,0.7805514,0.000015526695,0.08110904,0.038181294,0.09972224],"study_design_scores_gemma":[0.0004629338,0.000134736,0.0028353177,0.000026485259,0.000049136303,0.000029934014,0.0000124995095,0.95504826,0.000011716281,0.030978533,0.010323706,0.00008674506],"about_ca_topic_score_codex":0.0000024314463,"about_ca_topic_score_gemma":0.0000027434894,"teacher_disagreement_score":0.1744969,"about_ca_system_score_codex":0.000016462223,"about_ca_system_score_gemma":0.000059763355,"threshold_uncertainty_score":0.45153928},"labels":[],"label_agreement":null},{"id":"W4388561448","doi":"10.1016/j.jnca.2023.103785","title":"A dynamic state sharding blockchain architecture for scalable and secure crowdsourcing systems","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Blockchain Technology Applications and Security","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":"École de Technologie Supérieure","funders":"King Saud University; Ministry of Education, India; National Institute of Technology, Raipur","keywords":"Computer science; Crowdsourcing; Control reconfiguration; Blockchain; Database transaction; Scalability; Distributed transaction; Distributed computing; Throughput; Byzantine fault tolerance; Computer network; Computer security; Fault tolerance; Embedded system; Transaction processing; Operating system; Database","score_opus":0.007323341926066977,"score_gpt":0.23002026769799885,"score_spread":0.22269692577193187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388561448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035395123,0.0015720134,0.9603778,0.0019543695,0.00010350572,0.00044448778,0.0000069784355,0.00013328248,0.000012430568],"genre_scores_gemma":[0.83128864,0.00036122074,0.16748275,0.00019588055,0.00032833705,0.00024705412,0.000004271575,0.000019422932,0.00007244499],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989499,0.000033003093,0.0003600838,0.00026385637,0.00011742767,0.00027576098],"domain_scores_gemma":[0.9989714,0.00023774848,0.00025445185,0.0002890319,0.00013778715,0.00010956278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060384395,0.00012876521,0.00025101565,0.00018874937,0.0004072668,0.00017843263,0.00044844372,0.00008600249,2.4493693e-7],"category_scores_gemma":[0.0000038819826,0.00011427018,0.0000613481,0.0006800355,0.000060560396,0.00006182129,0.00023906791,0.0002498754,0.000001341882],"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":[0.00002435459,0.00011796653,0.0010984325,0.000297591,0.00028802163,0.000015335185,0.0020807707,0.25657365,0.0003119825,0.26747572,0.015029997,0.45668617],"study_design_scores_gemma":[0.00029574992,0.000077035445,0.0007279228,0.00005774035,0.00001703071,0.00023657524,0.00003173553,0.903633,0.000005550628,0.060140558,0.034651443,0.00012567473],"about_ca_topic_score_codex":0.000002242298,"about_ca_topic_score_gemma":0.0000035360038,"teacher_disagreement_score":0.7958935,"about_ca_system_score_codex":0.000018592471,"about_ca_system_score_gemma":0.000031043975,"threshold_uncertainty_score":0.4659803},"labels":[],"label_agreement":null},{"id":"W4391256059","doi":"10.1016/j.jnca.2024.103834","title":"Optimized blockchain-based healthcare framework empowered by mixed multi-agent reinforcement learning","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":28,"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":"Qatar University; Qatar National Research Fund; University of Guelph; Qatar Foundation","keywords":"Computer science; Reinforcement learning; Heuristics; Health care; Markov decision process; Blockchain; Computer security; Artificial intelligence; Knowledge management; Markov process","score_opus":0.012270173265371118,"score_gpt":0.26443639632661214,"score_spread":0.25216622306124103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391256059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015723422,0.0070903795,0.98306096,0.0073863934,0.00028340027,0.0003624664,0.0000019227805,0.00022546314,0.000016684558],"genre_scores_gemma":[0.5656412,0.00029191893,0.43289527,0.00066505023,0.0003288355,0.00011490094,0.0000053580206,0.000014418362,0.000042988748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983874,0.00009298821,0.0006120435,0.00035981083,0.00023613626,0.0003116484],"domain_scores_gemma":[0.9986219,0.00029036074,0.0002758888,0.00043799815,0.00018217675,0.000191707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055369193,0.00019255704,0.00030034804,0.00015853479,0.00038740545,0.00021072612,0.00070660916,0.00018472291,0.00000610791],"category_scores_gemma":[0.0000061544133,0.00017272269,0.00013722952,0.0007225742,0.00007827878,0.000052039333,0.00019125445,0.0007726146,0.000008299475],"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":[0.000024474484,0.0003213618,0.00025701665,0.00012854883,0.0002564306,0.000025455003,0.00081374776,0.39594552,0.00005658299,0.2973794,0.02227138,0.28252006],"study_design_scores_gemma":[0.00035658185,0.00016260364,0.00007668119,0.000119678814,0.000022444077,0.000052816882,0.000017032817,0.8923247,0.000042091746,0.00688826,0.099770546,0.0001665865],"about_ca_topic_score_codex":0.000005025289,"about_ca_topic_score_gemma":9.497118e-7,"teacher_disagreement_score":0.5640689,"about_ca_system_score_codex":0.00006332704,"about_ca_system_score_gemma":0.00011665048,"threshold_uncertainty_score":0.7043427},"labels":[],"label_agreement":null},{"id":"W4391941017","doi":"10.1016/j.jnca.2024.103851","title":"Hardening of network segmentation using automated referential penetration testing","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software Testing and Debugging Techniques","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Segmentation; Penetration (warfare); Hardening (computing); Artificial intelligence; Computer vision; Composite material; Materials science; Operations research","score_opus":0.037988586729007415,"score_gpt":0.3028060182771774,"score_spread":0.26481743154817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391941017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009404648,0.0011324642,0.9876951,0.00005655291,0.00028722952,0.00011455323,5.054188e-7,0.0012641316,0.000044808472],"genre_scores_gemma":[0.36069167,0.000025111805,0.6384391,0.000033518023,0.0007945663,0.000004797148,0.0000016531543,0.0000066597386,0.0000029086373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989594,0.000052628835,0.00047311446,0.00016754183,0.00019980343,0.00014746706],"domain_scores_gemma":[0.99879944,0.00044658512,0.000311384,0.00015834844,0.00023023853,0.000054011227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005476423,0.00009702222,0.00016416957,0.00010227172,0.00016054383,0.00024023601,0.00025598344,0.00005188342,9.213782e-7],"category_scores_gemma":[0.00001212215,0.000088820525,0.000050944713,0.0006566995,0.000025244866,0.00028493218,0.00010356007,0.00016745726,6.213974e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012551017,0.00009197382,0.0086950995,0.00022470728,0.0001865505,0.000022079861,0.000721351,0.31275132,0.0016081675,0.022376899,0.03539506,0.6179142],"study_design_scores_gemma":[0.00007611193,0.00009868947,0.0024355403,0.00046011456,0.000034137338,0.00021406417,0.0000016968522,0.9728091,0.00004991514,0.02333357,0.0004004313,0.000086625514],"about_ca_topic_score_codex":0.000008169305,"about_ca_topic_score_gemma":7.811233e-7,"teacher_disagreement_score":0.6600578,"about_ca_system_score_codex":0.000028867473,"about_ca_system_score_gemma":0.000093499744,"threshold_uncertainty_score":0.36219957},"labels":[],"label_agreement":null},{"id":"W4394977519","doi":"10.1016/j.jnca.2024.103885","title":"Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":24,"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; Data center; Cloud computing; Consolidation (business); Virtual machine; Distributed computing; Real-time computing; Computer network; Operating system","score_opus":0.020153260260332876,"score_gpt":0.28560236494077074,"score_spread":0.26544910468043786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394977519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052004727,0.0015190687,0.99073666,0.001162863,0.00092489657,0.00031367346,0.000019259784,0.00008979639,0.000033278204],"genre_scores_gemma":[0.61941534,0.000048916165,0.37808773,0.00031127414,0.0020593288,0.000015972852,0.000023016282,0.000014263247,0.000024122864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872637,0.00006677049,0.00040131796,0.000388052,0.00020244523,0.00021503515],"domain_scores_gemma":[0.9986205,0.00035170538,0.00018754137,0.0006126188,0.000099602315,0.00012804424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006298245,0.00013810696,0.00019121608,0.00010661491,0.00023909356,0.00036918357,0.0010829696,0.00005295748,0.0000012255492],"category_scores_gemma":[0.000004036769,0.00011445784,0.000071385366,0.0003426222,0.000043535154,0.000053129803,0.0005694054,0.0002408723,0.0000036189938],"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":[0.000018890689,0.00016027308,0.000017881677,0.000023408964,0.00011191851,0.000006283649,0.0003176601,0.20489523,0.000001938326,0.32468015,0.0031899624,0.4665764],"study_design_scores_gemma":[0.00019604513,0.00032674373,0.000145457,0.0001281785,0.000035476012,0.00009585744,0.00002221412,0.94161147,4.9161974e-7,0.013937919,0.04338276,0.00011736512],"about_ca_topic_score_codex":0.0000013861372,"about_ca_topic_score_gemma":0.0000014299359,"teacher_disagreement_score":0.7367163,"about_ca_system_score_codex":0.000035660993,"about_ca_system_score_gemma":0.00004703868,"threshold_uncertainty_score":0.46674556},"labels":[],"label_agreement":null},{"id":"W4401305910","doi":"10.1016/j.jnca.2024.103987","title":"CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","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":"Université du Québec à Trois-Rivières; École de Technologie Supérieure","funders":"","keywords":"Computer science; Overhead (engineering); Cluster analysis; Robustness (evolution); Authentication (law); Machine learning; Resource (disambiguation); Artificial intelligence; Computer network; Distributed computing; Computer security","score_opus":0.018551827752505006,"score_gpt":0.2707946904727985,"score_spread":0.2522428627202935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401305910","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011731243,0.001018131,0.9818679,0.015022465,0.00020248177,0.00033418043,0.0000034291736,0.00033095933,0.000047336798],"genre_scores_gemma":[0.37011525,0.00006909494,0.62835914,0.00040955396,0.0008407679,0.00009846068,0.000025335445,0.000022869921,0.000059530135],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878937,0.000065667205,0.00042922064,0.00030592136,0.00017464961,0.00023519795],"domain_scores_gemma":[0.9979436,0.0005714074,0.00022680053,0.0009945304,0.00018567248,0.00007800012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061591907,0.00013076897,0.00020518224,0.00014538078,0.00030280085,0.00066224433,0.0034713934,0.00009397894,0.0000019928464],"category_scores_gemma":[0.00015541255,0.0001164542,0.00008998711,0.0004880144,0.00005506387,0.00027559756,0.0030108131,0.00033621918,0.0000048154475],"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":[0.000023607632,0.000083476145,0.0002182019,0.00012315002,0.000113405076,0.000009226132,0.00011003456,0.008949492,0.000060440125,0.018514529,0.36800557,0.60378885],"study_design_scores_gemma":[0.00020053159,0.000120189114,0.0001959999,0.000116260104,0.000022138976,0.0000530577,0.000008771565,0.7703657,0.00002530202,0.036122926,0.19267085,0.00009824226],"about_ca_topic_score_codex":9.4149704e-7,"about_ca_topic_score_gemma":6.289387e-7,"teacher_disagreement_score":0.76141626,"about_ca_system_score_codex":0.000043084143,"about_ca_system_score_gemma":0.00008111066,"threshold_uncertainty_score":0.64507705},"labels":[],"label_agreement":null},{"id":"W4403262459","doi":"10.1016/j.jnca.2024.104041","title":"A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Wireless Body Area Networks","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Computer science; Ran; C-RAN; Architecture; Systematic review; Computer architecture; Data science; Artificial intelligence; Telecommunications; Computer network; Radio access network; Base station; MEDLINE","score_opus":0.009383819957844711,"score_gpt":0.22798554723272238,"score_spread":0.21860172727487767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403262459","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002850333,0.9307091,0.06425086,0.0034954199,0.00014180999,0.00082352955,0.0000017694084,0.000085219224,0.00020720916],"genre_scores_gemma":[0.17170916,0.8220041,0.0017935996,0.00047494008,0.003559687,0.00039277054,0.000014029318,0.000041549745,0.000010171406],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990739,0.00013394268,0.00038563,0.00013729488,0.00013732836,0.00013188517],"domain_scores_gemma":[0.99931,0.00034152658,0.00008184481,0.00017949223,0.000037353315,0.000049737104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333917,0.00014788356,0.00033665844,0.00008728696,0.000099793324,0.00006334069,0.00014982371,0.00005384215,9.202493e-7],"category_scores_gemma":[0.0000016759604,0.000099881596,0.000058120237,0.00032059613,0.000023749282,0.000051232902,0.000017548564,0.00059996394,0.0000027058702],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011826231,0.00009074568,0.00002803928,0.08692175,0.0004093494,0.000029631809,0.003998579,0.12099972,0.000010270191,0.025127392,0.004868865,0.7575038],"study_design_scores_gemma":[0.00020733064,0.00011828824,0.0011661663,0.024769764,0.00028010565,0.000977123,0.00013383973,0.31275475,4.0636414e-7,0.0022828626,0.657054,0.00025535683],"about_ca_topic_score_codex":0.0000016078351,"about_ca_topic_score_gemma":0.000011284942,"teacher_disagreement_score":0.75724846,"about_ca_system_score_codex":0.000024208954,"about_ca_system_score_gemma":0.000006193292,"threshold_uncertainty_score":0.40730533},"labels":[],"label_agreement":null},{"id":"W4405286552","doi":"10.1016/j.jnca.2024.104086","title":"Optimizing federated learning with weighted aggregation in aerial and space networks","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Privacy-Preserving Technologies in Data","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":"University of Calgary","funders":"University of Calgary","keywords":"Computer science; Space (punctuation); Artificial intelligence; Computer network; Machine learning; Theoretical computer science; Data mining","score_opus":0.011159486552919045,"score_gpt":0.23787156192156936,"score_spread":0.22671207536865032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405286552","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008520338,0.0039424733,0.9827597,0.0043092235,0.00014706764,0.00013409946,2.7370547e-7,0.00013769981,0.000049136303],"genre_scores_gemma":[0.37500596,0.0012434843,0.6231754,0.000054917688,0.00048766017,0.0000141083065,0.0000027682745,0.000009801747,0.0000059298914],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991179,0.000058159916,0.00026922836,0.0002421282,0.00012446243,0.0001881256],"domain_scores_gemma":[0.99907565,0.00019367215,0.00014215216,0.00046361366,0.00006683995,0.000058089525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035852354,0.00011095887,0.00016956529,0.000141233,0.00015726328,0.0005612488,0.0014239134,0.00007493072,8.3573883e-7],"category_scores_gemma":[0.00002610756,0.0000900245,0.000019308389,0.00073441636,0.00005388437,0.0004893301,0.0030346592,0.00045928964,5.982569e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037426937,0.000048172264,0.0016430641,0.000042488366,0.000105633335,0.000091000344,0.0002646459,0.04428953,0.000028159715,0.018538758,0.018938856,0.9159723],"study_design_scores_gemma":[0.00023563261,0.000106521606,0.0005621588,0.00023568123,0.000009752596,0.0002353986,0.000009340908,0.9744333,0.000010148679,0.01585977,0.008199492,0.000102830854],"about_ca_topic_score_codex":0.000003677259,"about_ca_topic_score_gemma":0.000005800128,"teacher_disagreement_score":0.9301437,"about_ca_system_score_codex":0.00003266424,"about_ca_system_score_gemma":0.00004432287,"threshold_uncertainty_score":0.5412135},"labels":[],"label_agreement":null},{"id":"W4406583763","doi":"10.1016/j.jnca.2025.104105","title":"Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; École de Technologie Supérieure","funders":"Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Computer science; Scheme (mathematics); Cluster (spacecraft); Internet of Things; Federated learning; Differential privacy; Computer network; Data mining; Computer security; Distributed computing","score_opus":0.03087237617886379,"score_gpt":0.30477714145754814,"score_spread":0.27390476527868435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406583763","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002987099,0.00033404335,0.9775169,0.017734874,0.00028949598,0.00090822217,0.000020033727,0.0001541373,0.00005521648],"genre_scores_gemma":[0.04175274,0.000026452975,0.957036,0.00053394714,0.00042754575,0.00013424388,0.00004565125,0.000015439016,0.000027957103],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813855,0.000054214335,0.00064362056,0.0005551863,0.00020423079,0.00040421274],"domain_scores_gemma":[0.9942294,0.0010793117,0.00048021242,0.0037201587,0.00039822992,0.000092723436],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0011986502,0.00019893996,0.00034729217,0.00016031791,0.00066368736,0.0004803678,0.0157135,0.0001271394,0.0000014234934],"category_scores_gemma":[0.00095691456,0.00018620776,0.000095700045,0.00069386436,0.0000650618,0.00019180954,0.02732544,0.00036499093,0.0000015694635],"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":[0.00011545269,0.00033305318,0.0014812228,0.0003444756,0.00026853688,0.000002766217,0.000049473823,0.07484615,0.00018296909,0.011817432,0.67304754,0.2375109],"study_design_scores_gemma":[0.00094004016,0.00009840966,0.00038502467,0.00018250602,0.000030728577,0.000012123889,0.0000068850695,0.89450264,0.000055154775,0.029226586,0.07440562,0.00015425624],"about_ca_topic_score_codex":0.0000021028527,"about_ca_topic_score_gemma":0.0000017274458,"teacher_disagreement_score":0.8196565,"about_ca_system_score_codex":0.000060616825,"about_ca_system_score_gemma":0.0002466897,"threshold_uncertainty_score":0.989612},"labels":[],"label_agreement":null},{"id":"W4406873089","doi":"10.1016/j.jnca.2025.104106","title":"A survey on the state-of-the-art CDN architectures and future directions","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":9,"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":"Korea Research Council of Fundamental Science and Technology; China Scholarship Council; Carleton University","keywords":"Computer science; State (computer science); Telecommunications; Computer network; Algorithm","score_opus":0.009652477367472186,"score_gpt":0.2251843150163875,"score_spread":0.21553183764891531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406873089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08736078,0.0035940001,0.89647895,0.011261559,0.0006852134,0.00024821924,0.0000054931484,0.000020995323,0.00034477355],"genre_scores_gemma":[0.99348795,0.00077474664,0.0027036471,0.0020143813,0.0006819985,0.000016751548,7.136719e-7,0.0000049216123,0.0003148853],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99937725,0.00012958268,0.00019723017,0.00010405715,0.00010593674,0.00008596063],"domain_scores_gemma":[0.999074,0.00040831685,0.00013905657,0.00025125698,0.00009431659,0.00003307217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034541287,0.000068188194,0.0001142541,0.00005112944,0.00026833845,0.00008716849,0.00038277713,0.000018707706,4.3409656e-7],"category_scores_gemma":[0.000003902344,0.00003805508,0.00006165944,0.00037072596,0.000051501902,0.000029498953,0.0001398166,0.00021570442,3.98922e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026610096,0.00011354898,0.007078796,0.000012309513,0.00016541347,0.0000010125142,0.0004340062,0.007325838,0.000023233613,0.04094075,0.053670153,0.8902083],"study_design_scores_gemma":[0.00035249477,0.00014246155,0.61489594,0.0001383618,0.00004022212,0.000068163616,0.000013400409,0.0707804,0.000018263174,0.030385043,0.28301933,0.00014594998],"about_ca_topic_score_codex":0.000012011169,"about_ca_topic_score_gemma":0.000035162226,"teacher_disagreement_score":0.90612715,"about_ca_system_score_codex":0.0000073048723,"about_ca_system_score_gemma":0.000038058373,"threshold_uncertainty_score":0.20638694},"labels":[],"label_agreement":null},{"id":"W4407028782","doi":"10.1016/j.jnca.2025.104131","title":"A holistic survey of UAV-assisted wireless communications in the transition from 5G to 6G: State-of-the-art intertwined innovations, challenges, and opportunities","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"UAV Applications and Optimization","field":"Engineering","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":"Carleton University","funders":"","keywords":"Computer science; Wireless; Transition (genetics); Telecommunications; State (computer science)","score_opus":0.06421037673043445,"score_gpt":0.2675352189510265,"score_spread":0.20332484222059205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407028782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08783017,0.0034473864,0.9045446,0.003258761,0.00006866602,0.00047150636,0.000053773947,0.000013621248,0.00031150665],"genre_scores_gemma":[0.9885568,0.003913682,0.007198074,0.00017413183,0.000033843047,0.00006756646,0.000042240063,0.000006783843,0.0000068602976],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99918187,0.00010481761,0.00049701217,0.00006873603,0.00007879959,0.000068786896],"domain_scores_gemma":[0.9989714,0.0003181424,0.00014100067,0.00032367973,0.00022251424,0.000023255765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037185667,0.00007614315,0.00017782529,0.000119081415,0.00007382761,0.000023425946,0.00029665907,0.00003316633,7.3948405e-7],"category_scores_gemma":[0.0000041749176,0.000058951937,0.000024646517,0.0005201196,0.00006634718,0.00006147283,0.000041191623,0.00013453393,1.2640994e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005726722,0.0004130466,0.0020596257,0.00018873483,0.00026587452,4.789902e-7,0.006048374,0.09408181,0.00027599873,0.047030177,0.0068536885,0.8427249],"study_design_scores_gemma":[0.0006262493,0.0000623312,0.71901774,0.00042758326,0.00009470172,0.00001123961,0.0004203698,0.25728554,0.000027576662,0.0070440574,0.014820369,0.00016225195],"about_ca_topic_score_codex":0.000035361576,"about_ca_topic_score_gemma":0.00032096085,"teacher_disagreement_score":0.9007266,"about_ca_system_score_codex":0.000017753091,"about_ca_system_score_gemma":0.000032912354,"threshold_uncertainty_score":0.24039902},"labels":[],"label_agreement":null},{"id":"W4407684738","doi":"10.1016/j.jnca.2025.104139","title":"An expert system for privacy-preserving vessel detection leveraging optimized Extended-YOLOv7 and SHA-256","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","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":"Brandon University","funders":"","keywords":"Computer science; Computer security; Privacy protection","score_opus":0.014593457819600251,"score_gpt":0.2554319066620428,"score_spread":0.24083844884244254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407684738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04933326,0.00055106875,0.9464002,0.0027609963,0.0002212436,0.00032561528,5.496527e-7,0.00008591388,0.00032110003],"genre_scores_gemma":[0.9621472,0.0000643552,0.03489736,0.0011125595,0.0016387447,0.00010418071,0.0000063280218,0.000011924883,0.000017381815],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925435,0.00000892566,0.0003567412,0.00016447995,0.00006466443,0.00015083667],"domain_scores_gemma":[0.9991626,0.00007539519,0.0002796501,0.00021085609,0.00025843777,0.000013051335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029970182,0.00010748947,0.00020100226,0.0002503355,0.0004735622,0.0002326961,0.00026625837,0.00007486258,0.0000018289165],"category_scores_gemma":[0.0000072566245,0.00009959156,0.000044726086,0.00044341118,0.000044894023,0.0005127343,0.00015887154,0.00015197531,6.91649e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017089165,0.0003153899,0.0065505025,0.0005836736,0.00041802233,0.000004800695,0.00021031933,0.0055495645,0.0016189854,0.28216314,0.028411098,0.6740036],"study_design_scores_gemma":[0.0027113394,0.00007994314,0.020139325,0.00051008654,0.0002772341,0.000080022786,0.0009643712,0.7077246,0.00012464196,0.04654127,0.22044192,0.00040526848],"about_ca_topic_score_codex":0.000015288862,"about_ca_topic_score_gemma":0.0000036550346,"teacher_disagreement_score":0.9128139,"about_ca_system_score_codex":0.000019772287,"about_ca_system_score_gemma":0.000013632068,"threshold_uncertainty_score":0.4061226},"labels":[],"label_agreement":null},{"id":"W4408396060","doi":"10.1016/j.jnca.2025.104166","title":"Hierarchical multi-scale spatio-temporal semantic graph convolutional network for traffic flow forecasting","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":6,"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; Canada Research Chairs","keywords":"Computer science; Graph; Scale (ratio); Theoretical computer science; Cartography","score_opus":0.01344112464202516,"score_gpt":0.2290410482172885,"score_spread":0.21559992357526334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408396060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027719787,0.0006927977,0.9950976,0.00020928441,0.00039359828,0.00037691536,0.000006169251,0.00035186514,0.000099785095],"genre_scores_gemma":[0.6071332,0.00017987471,0.3913134,0.00015708311,0.001061403,0.000091180686,0.000027203712,0.000012089242,0.00002457661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992211,0.000016946817,0.00038257046,0.00010921301,0.00008090409,0.00018927034],"domain_scores_gemma":[0.9995847,0.000100093,0.0000794837,0.00009153254,0.00007565977,0.000068578716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022207033,0.000109673805,0.00018808786,0.00010109595,0.00019020485,0.0000455839,0.00013068662,0.000060574894,0.0000016914303],"category_scores_gemma":[0.0000013970987,0.00010747012,0.00010473139,0.00025404815,0.00004115934,0.00006950831,0.000030818774,0.00017483994,4.272671e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015357467,0.00004381612,0.0005991628,0.00006106082,0.000103992425,8.548792e-7,0.00002858738,0.716683,0.0000015637066,0.0029169559,0.14318122,0.13636445],"study_design_scores_gemma":[0.00045627047,0.00003960981,0.0025350677,0.0000837815,0.00005148905,0.000019472189,0.0000052237783,0.92112416,9.71268e-7,0.0018233004,0.073778115,0.00008253575],"about_ca_topic_score_codex":4.549661e-7,"about_ca_topic_score_gemma":0.000016699421,"teacher_disagreement_score":0.60436124,"about_ca_system_score_codex":0.000023459894,"about_ca_system_score_gemma":0.000019348783,"threshold_uncertainty_score":0.43825042},"labels":[],"label_agreement":null},{"id":"W4408911641","doi":"10.1016/j.jnca.2025.104176","title":"Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Computer science; Computer security; Internet of Things; Efficient energy use; Electrical engineering","score_opus":0.005548473028580629,"score_gpt":0.223297364636888,"score_spread":0.21774889160830738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408911641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016557052,0.0016140285,0.9945806,0.0005418841,0.0004808116,0.00018926297,1.5541055e-7,0.000052676318,0.0008848761],"genre_scores_gemma":[0.22288737,0.0000933383,0.77288175,0.0012442822,0.0027033053,0.00006128195,0.0000013371279,0.000013942517,0.00011342801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880445,0.000056505854,0.00038184164,0.00027476324,0.00012373267,0.00035870323],"domain_scores_gemma":[0.99860615,0.00039977618,0.00023411501,0.00022539108,0.00041654907,0.00011802558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049998914,0.00015353393,0.00026070687,0.00016543079,0.000555299,0.00027570708,0.0004085742,0.00007038304,1.549901e-7],"category_scores_gemma":[0.0000048673733,0.00014035164,0.00009716945,0.0005738193,0.000046419646,0.00016246668,0.0002638787,0.00016070585,2.092677e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009426202,0.00055124034,0.0007314926,0.0002572698,0.0002662419,0.00003295742,0.002092442,0.041167505,0.000008138839,0.75438076,0.03873305,0.16168462],"study_design_scores_gemma":[0.00060461083,0.00016858577,0.0002065415,0.000060563434,0.000039213646,0.00003225296,0.00003263984,0.8677037,0.00001366524,0.027740205,0.1032519,0.00014614614],"about_ca_topic_score_codex":0.000005802908,"about_ca_topic_score_gemma":6.7814517e-7,"teacher_disagreement_score":0.8265362,"about_ca_system_score_codex":0.00005542288,"about_ca_system_score_gemma":0.00019366754,"threshold_uncertainty_score":0.5723374},"labels":[],"label_agreement":null},{"id":"W4410461111","doi":"10.1016/j.jnca.2025.104214","title":"ARS: Adaptive routing strategies using AT-GCN for traffic optimization in data center networks","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Software-Defined Networks and 5G","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":"The Scarborough Hospital; University of Toronto","funders":"Natural Science Foundation of Zhejiang Province; Hangzhou Normal University; National Natural Science Foundation of China","keywords":"Computer science; Routing (electronic design automation); Computer network; Data center; Adaptive routing; Center (category theory); Traffic optimization; Routing protocol; Static routing; Traffic congestion; Floating car data","score_opus":0.03501669394170247,"score_gpt":0.28376385544345645,"score_spread":0.24874716150175397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410461111","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016192632,0.0014197791,0.995981,0.00027555056,0.00030606738,0.00032706038,0.0000036540264,0.000026415582,0.0000412247],"genre_scores_gemma":[0.34785953,0.00030461047,0.65054935,0.00038808264,0.0008333204,0.000022589691,0.000019670688,0.000011589491,0.000011267788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871665,0.000056434692,0.00053409906,0.00031150455,0.00010646,0.00027484115],"domain_scores_gemma":[0.9987305,0.00032932786,0.00032721413,0.0004075998,0.0001423896,0.000062968465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045964398,0.00014076021,0.00026040396,0.0001177501,0.00024202294,0.00025710027,0.0007786149,0.000080565434,7.475218e-7],"category_scores_gemma":[0.0000037556792,0.00013099576,0.00005875384,0.00061571033,0.000034646437,0.00043948492,0.00043830616,0.0001864012,1.5353476e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019939273,0.00005145363,0.00048236692,0.000006779208,0.00003514335,0.0000014180434,0.000062897474,0.94029313,4.7725854e-7,0.012919232,0.0020178943,0.044109263],"study_design_scores_gemma":[0.0005907706,0.00004618197,0.0006586947,0.00015428534,0.000024416224,0.000033148743,0.000024934992,0.99328774,2.378172e-7,0.002041881,0.0030251448,0.0001125654],"about_ca_topic_score_codex":0.0000024534131,"about_ca_topic_score_gemma":0.000017288552,"teacher_disagreement_score":0.34624025,"about_ca_system_score_codex":0.00006262729,"about_ca_system_score_gemma":0.00010780035,"threshold_uncertainty_score":0.5341852},"labels":[],"label_agreement":null},{"id":"W4411196631","doi":"10.1016/j.jnca.2025.104236","title":"Poisoning behavioral-based worker selection in mobile crowdsensing using generative adversarial networks","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Adversarial Robustness in Machine Learning","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":"Computer science; Crowdsensing; Adversarial system; Selection (genetic algorithm); Generative grammar; Generative adversarial network; Pedestrian; Artificial intelligence; Machine learning; Computer security; Human–computer interaction; Deep learning; Transport engineering","score_opus":0.011906244348397457,"score_gpt":0.2936087360083873,"score_spread":0.2817024916599899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411196631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03187407,0.0005196952,0.966685,0.00015096365,0.00045621823,0.00024041372,1.3067664e-7,0.000033012784,0.000040466253],"genre_scores_gemma":[0.5950865,0.000016255342,0.40383193,0.0002262412,0.0008125884,0.000010964749,8.199932e-7,0.000007472203,0.0000072151815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863154,0.00017902965,0.0005110752,0.00025913227,0.00015601782,0.00026321976],"domain_scores_gemma":[0.9990328,0.00020512467,0.00036418342,0.00015432575,0.00018219711,0.00006139441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049551367,0.00015458687,0.00027700723,0.0005572146,0.00033842062,0.0002053237,0.0003281042,0.000103981525,0.0000017811109],"category_scores_gemma":[0.000004991579,0.00015515422,0.00008080827,0.0026457864,0.000045985205,0.00033857187,0.00016204774,0.0005233523,2.8444197e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016369633,0.00005028384,0.006177342,0.0000031243333,0.000018142993,0.000005201267,0.00010288155,0.9112728,0.000034042405,0.002630113,0.00018479521,0.07950487],"study_design_scores_gemma":[0.00059358147,0.00006536037,0.005292335,0.00013378037,0.00003132684,0.000032238535,0.000017069924,0.9912272,0.000012474232,0.0008656184,0.0016026271,0.0001263976],"about_ca_topic_score_codex":0.000016284808,"about_ca_topic_score_gemma":0.000013175239,"teacher_disagreement_score":0.56321245,"about_ca_system_score_codex":0.00014377674,"about_ca_system_score_gemma":0.00016578309,"threshold_uncertainty_score":0.6327005},"labels":[],"label_agreement":null},{"id":"W4411527080","doi":"10.1016/j.jnca.2025.104237","title":"Energy and density-based stable election routing protocol for wireless IoT network","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Energy Efficient Wireless Sensor Networks","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":"Nexen (Canada)","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Ministry of Education; Chung-Ang University","keywords":"Computer science; Computer network; Protocol (science); Wireless Routing Protocol; Routing protocol; Energy (signal processing); Wireless; Zone Routing Protocol; Routing (electronic design automation); Internet of Things; Telecommunications; Computer security","score_opus":0.009440517983163737,"score_gpt":0.2545129681819541,"score_spread":0.2450724501987904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411527080","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056323083,0.000101923244,0.9921528,0.0004910963,0.00019453,0.006332167,3.1137677e-7,0.000055886492,0.00010803237],"genre_scores_gemma":[0.20205612,0.00004383927,0.760853,0.0030386092,0.0042568524,0.029486554,0.0000052087194,0.00004116098,0.00021863401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856436,0.00008957193,0.00051030156,0.00031324127,0.00015863162,0.00036391226],"domain_scores_gemma":[0.9984706,0.00040816335,0.0004130838,0.00027709248,0.00031923718,0.00011179848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004832093,0.00017411071,0.0003016113,0.00011073144,0.0005328022,0.00025879036,0.00037845864,0.000100246696,4.8497327e-7],"category_scores_gemma":[0.0000024648846,0.0001608177,0.00008387005,0.00072993303,0.000050927334,0.00011900193,0.00015209244,0.00017087086,1.2634662e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060077302,0.00010842181,0.0012790656,0.00004222301,0.00006380528,0.000001955572,0.00002277051,0.5800505,0.000036858648,0.20386109,0.011601951,0.20287128],"study_design_scores_gemma":[0.0008209941,0.00013196353,0.0005917691,0.0001698007,0.000021807109,0.000027613234,0.0000019492966,0.9118864,0.00011413057,0.0060924045,0.079998896,0.0001422752],"about_ca_topic_score_codex":0.000006922367,"about_ca_topic_score_gemma":0.000017584764,"teacher_disagreement_score":0.3318359,"about_ca_system_score_codex":0.000047224818,"about_ca_system_score_gemma":0.00012337002,"threshold_uncertainty_score":0.6557956},"labels":[],"label_agreement":null},{"id":"W4414164946","doi":"10.1016/j.jnca.2025.104303","title":"Energy-efficient optimal relay design for wireless sensor network in underground mines","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Full-Duplex Wireless Communications","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":"Héma-Québec","funders":"","keywords":"Relay; MIMO; Relay channel; Wireless sensor network; Transceiver; Optimal design; Channel (broadcasting); Path loss; Transmission (telecommunications)","score_opus":0.012949267320073864,"score_gpt":0.23057202854216108,"score_spread":0.2176227612220872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414164946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020254977,0.0045185443,0.97420883,0.00036572685,0.00021049193,0.00033673074,0.0000017445751,0.000043014654,0.00005991256],"genre_scores_gemma":[0.6533856,0.0015148744,0.34354222,0.00020296089,0.00088371197,0.00031580514,0.000008593519,0.000034267377,0.00011200205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896455,0.000062596315,0.00052714255,0.00012217456,0.00008084914,0.00024268957],"domain_scores_gemma":[0.99863374,0.0007852577,0.000119603,0.00027816085,0.00011911323,0.0000641339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003021544,0.00014285816,0.0003068611,0.00011925004,0.00016207575,0.00006576604,0.00030634875,0.00008260178,0.0000010547445],"category_scores_gemma":[0.0000028444601,0.00014016502,0.00008310797,0.00056727533,0.000043097032,0.000053260534,0.00006496235,0.00016969965,4.758183e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001538722,0.000052467713,0.00007106512,0.000088293295,0.00007653438,8.309129e-7,0.000046181747,0.971957,0.00003096375,0.013940438,0.00846929,0.0052515124],"study_design_scores_gemma":[0.00038929112,0.000032267035,0.00043870622,0.00032625342,0.000048659866,0.000019252762,0.000022343142,0.98604596,0.000013579997,0.00046964452,0.012072961,0.000121059],"about_ca_topic_score_codex":0.0000019682552,"about_ca_topic_score_gemma":0.000014317224,"teacher_disagreement_score":0.6331306,"about_ca_system_score_codex":0.000071397895,"about_ca_system_score_gemma":0.00004182614,"threshold_uncertainty_score":0.5715764},"labels":[],"label_agreement":null},{"id":"W4414411974","doi":"10.1016/j.jnca.2025.104323","title":"Secure event-triggered control for vehicle platooning against dual deception attacks","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"Polytechnique Montréal","funders":"","keywords":"Platoon; Resilience (materials science); Deception; Dual (grammatical number); Controller (irrigation); Stability (learning theory); Scheme (mathematics)","score_opus":0.004376061170307388,"score_gpt":0.22155770553856047,"score_spread":0.21718164436825307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414411974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05339767,0.002494523,0.9430847,0.00016139504,0.00030017103,0.00038779524,0.0000059464955,0.000055963374,0.0001118295],"genre_scores_gemma":[0.98622775,0.00025607136,0.011539824,0.0003721313,0.0014782781,0.00006835847,0.000013498585,0.00001984425,0.000024245646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991182,0.000024475008,0.00041098706,0.00011553318,0.00009517787,0.00023561742],"domain_scores_gemma":[0.9993751,0.00016513935,0.00011775763,0.0001322312,0.00011936186,0.00009040731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024323743,0.00013018286,0.00024680168,0.00007249027,0.00015694874,0.00007040442,0.00012161474,0.000094729025,0.0000023669515],"category_scores_gemma":[0.0000021903634,0.00012812392,0.00011566746,0.0002208664,0.000020776191,0.000099889505,0.000022792128,0.00023156917,0.0000019464428],"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":[0.00001903851,0.000019910009,0.00040636433,0.000029811088,0.00015712684,0.0000015879472,0.000034334706,0.9197271,0.00016834076,0.0013945231,0.021809697,0.056232203],"study_design_scores_gemma":[0.0011035398,0.000041630945,0.0015587739,0.000105024286,0.00007568745,0.000017563807,0.000009696238,0.9389732,0.000019424853,0.0015819065,0.05640106,0.00011248618],"about_ca_topic_score_codex":2.1790646e-7,"about_ca_topic_score_gemma":0.0000028122874,"teacher_disagreement_score":0.9328301,"about_ca_system_score_codex":0.000052270803,"about_ca_system_score_gemma":0.00003102705,"threshold_uncertainty_score":0.52247417},"labels":[],"label_agreement":null},{"id":"W6922144367","doi":"10.1016/j.jnca.2025.104142","title":"A Comprehensive Survey of Smart Contracts Vulnerability Detection Tools: Techniques and Methodologies","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Blockchain Technology Applications and 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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Vulnerability (computing); Vulnerability assessment; Bridge (graph theory); Cover (algebra); Vulnerability management","score_opus":0.04593326861365952,"score_gpt":0.31762217449767444,"score_spread":0.2716889058840149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922144367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046321556,0.0020487485,0.95063406,0.00054476556,0.000061369414,0.00027422403,0.0000026877578,0.000056940342,0.000055671768],"genre_scores_gemma":[0.7671343,0.0005577398,0.23207702,0.00012902543,0.00005209032,0.00004357849,7.588771e-7,0.000002437926,0.0000030712079],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988976,0.00023759167,0.0004615887,0.00020353419,0.000078886245,0.00012077865],"domain_scores_gemma":[0.9975291,0.0012539403,0.0003368156,0.0003449899,0.0004942192,0.000040940282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010654704,0.00010060793,0.00031667843,0.00012528815,0.00017153168,0.000058515066,0.00038521114,0.00011769289,3.070541e-7],"category_scores_gemma":[0.000028716617,0.00008779121,0.00004343626,0.00057026214,0.00018578325,0.00014124929,0.00024427645,0.00026156456,1.212047e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021677446,0.000068350215,0.002943454,0.00002703228,0.00006202356,7.485411e-7,0.00005068578,0.00006650369,0.00023517078,0.04272928,0.0002844922,0.9535106],"study_design_scores_gemma":[0.0007825577,0.0007093354,0.55722225,0.0001263532,0.00008929539,0.00033627593,0.00004773932,0.043063574,0.008458994,0.31430206,0.07449352,0.0003680443],"about_ca_topic_score_codex":0.000029427678,"about_ca_topic_score_gemma":0.000025231235,"teacher_disagreement_score":0.9531425,"about_ca_system_score_codex":0.0000152583225,"about_ca_system_score_gemma":0.000044884237,"threshold_uncertainty_score":0.3580022},"labels":[],"label_agreement":null}]}