{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"87b7763716b4","filters":{"venue":"2017 International Conference on Computing, Networking and Communications (ICNC)"}},"results":[{"id":"W2600921912","doi":"10.1109/iccnc.2017.7876242","title":"Using DEVS for modeling and simulating a Fog Computing environment","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; Computer science; Provisioning; DEVS; Context (archaeology); Distributed computing; The Internet; Computer network; Edge computing; Real-time computing; Modeling and simulation; Simulation; World Wide Web; Operating system","authors":[{"name":"Mohammad Etemad","is_ca":true},{"name":"Mohammad Aazam","is_ca":true},{"name":"Marc St‐Hilaire","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2784782755897334,"gpt":0.3842372861029872,"spread":0.1057590105132538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004330612,0.0006619056,0.0006338662,0.0005112221,0.0005297872,0.0009829594,0.0009952461,0.00107574,0.003284041],"category_scores_gemma":[0.001245796,0.000426528,0.001137292,0.000431322,0.0003618796,0.0004974804,0.0006013256,0.00104889,0.0002878148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007470143,"about_ca_system_score_gemma":0.0008786777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284189,"about_ca_topic_score_gemma":0.0156149,"domain_scores_codex":[0.9998226,0.00004422879,0.00001657691,0.000028053,0.00004813368,0.00004041852],"domain_scores_gemma":[0.9994346,0.0003277716,0.00004587795,0.00003682876,0.0001226858,0.00003220071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002171639,0.00002046061,0.001053276,0.00004430621,0.00001623677,0.00007280918,0.00003731202,0.992423,0.0008202021,0.003203533,0.0003634361,0.001923693],"study_design_scores_gemma":[0.000004846613,0.000005857135,0.00009223539,0.000003818062,0.000003648005,0.000008412256,0.0000114033,0.9982942,0.0003248761,0.0005266747,0.0007211662,0.000002807731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2340601,0.0006111179,0.7261162,0.0006808812,0.0003934464,0.0003348084,0.00373172,0.00332321,0.03074857],"genre_scores_gemma":[0.8941457,0.0004840068,0.09718168,0.0001224941,0.00003773873,0.0004139227,0.001984473,0.0002419448,0.005388131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02284189,"threshold_uncertainty_score":0.0454179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2599956637","doi":"10.1109/iccnc.2017.7876121","title":"Dynamic Traffic Diversion in SDN: testbed vs Mininet","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Testbed; Computer science; Emulation; Jitter; PlanetLab; Computer network; OpenFlow; Software-defined networking; Packet loss; Network packet; Backup; CarSim; Real-time computing; Operating system; The Internet","authors":[{"name":"R. C. Barrett","is_ca":true},{"name":"Andre Facey","is_ca":true},{"name":"Welile Nxumalo","is_ca":true},{"name":"Josh Rogers","is_ca":true},{"name":"Phil Vatcher","is_ca":true},{"name":"Marc St‐Hilaire","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07887851570034508,"gpt":0.3304468956242561,"spread":0.251568379923911,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001642144,0.000434229,0.0004617936,0.0005540699,0.0002516007,0.0006562286,0.0009023469,0.000293707,0.000716346],"category_scores_gemma":[0.002079512,0.00016366,0.0001340249,0.000426727,0.0003565158,0.001782479,0.0006898353,0.0003555901,0.0001401923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723035,"about_ca_system_score_gemma":0.0003052503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005729339,"about_ca_topic_score_gemma":0.0006281338,"domain_scores_codex":[0.9993821,0.0002713513,0.0000480678,0.0001032341,0.0001318679,0.00006330275],"domain_scores_gemma":[0.9988323,0.0003847386,0.0001255421,0.0002837828,0.000215373,0.0001583129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004745096,0.00150455,0.03587579,0.0007431582,0.0002686171,0.0006186073,0.0003849939,0.3106184,0.2435778,0.01805533,0.003885483,0.3797222],"study_design_scores_gemma":[0.00009473747,0.001603694,0.007929783,0.00004833307,0.00006212934,0.0004557212,0.000218987,0.9122996,0.06947028,0.003241202,0.004524922,0.00005060728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6056636,0.001624226,0.3842684,0.0003572977,0.0002607606,0.0002158352,0.0001490859,0.002748091,0.004712656],"genre_scores_gemma":[0.9396715,0.0002713987,0.05925543,0.0000710135,0.00002258482,0.00005867831,0.0001488066,0.00005393331,0.0004466572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001642144,"threshold_uncertainty_score":0.008684576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2599893809","doi":"10.1109/iccnc.2017.7876220","title":"Modeling of free riders in P2P live streaming systems","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Live streaming; Computer science; Free rider problem; The Internet; Peer-to-peer; Domain (mathematical analysis); Free riding; Computer network; World Wide Web; Mathematics; Microeconomics","authors":[{"name":"Istiaque Shahriar","is_ca":true},{"name":"Dongyu Qiu","is_ca":true},{"name":"Brigitte Jaumard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1229173289367838,"gpt":0.3365380170672215,"spread":0.2136206881304377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546289,0.001417049,0.001641314,0.000937604,0.001086961,0.001955854,0.003411555,0.003394115,0.003379717],"category_scores_gemma":[0.005840132,0.0007933979,0.0009864203,0.0007592425,0.00162622,0.00283049,0.00146813,0.001892673,0.0005058711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752827,"about_ca_system_score_gemma":0.001269222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179483,"about_ca_topic_score_gemma":0.008552332,"domain_scores_codex":[0.9986308,0.0003410672,0.00008531605,0.0003125279,0.0003691969,0.0002610559],"domain_scores_gemma":[0.9966384,0.001639231,0.0006190809,0.0001353184,0.0007195854,0.0002483254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007355367,0.00006336021,0.001462934,0.00008650639,0.00003644753,0.000522408,0.0002057518,0.9676467,0.002187763,0.02411758,0.001066526,0.002530616],"study_design_scores_gemma":[0.000005501137,0.00001443553,0.0001206758,0.000003813184,0.00000638246,0.0000282685,0.00002382854,0.9977509,0.0000862798,0.001760054,0.0001932011,0.00000653336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2695926,0.001742783,0.7079922,0.002335567,0.0002888709,0.0004905729,0.0009187539,0.0005526496,0.01608596],"genre_scores_gemma":[0.9759435,0.0006519255,0.01263289,0.0001363948,0.00008411288,0.0002229219,0.0002338787,0.00005483428,0.01003958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02179483,"threshold_uncertainty_score":0.04333591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2602909668","doi":"10.1109/iccnc.2017.7876216","title":"Evaluation and selection of Cloud security services based on Multi-Criteria Analysis MCA","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Cloud computing; Selection (genetic algorithm); Security analysis; Computer security; Artificial intelligence; Operating system","authors":[{"name":"Talal Halabi","is_ca":true},{"name":"Martine Bellaïche","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1208685918960402,"gpt":0.4223958172759003,"spread":0.30152722537986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01698137,0.001896096,0.00196224,0.007658337,0.001432858,0.004405585,0.001341178,0.001327768,0.00142147],"category_scores_gemma":[0.02266595,0.0004250916,0.00234428,0.004456431,0.001365456,0.002088654,0.002064362,0.00129128,0.0001631186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004586454,"about_ca_system_score_gemma":0.004740065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779955,"about_ca_topic_score_gemma":0.003021827,"domain_scores_codex":[0.9731741,0.01520697,0.001422388,0.0009326557,0.00822762,0.001036158],"domain_scores_gemma":[0.9820451,0.01170738,0.001484675,0.0004550233,0.003677667,0.0006301078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000526627,0.0007154317,0.01411302,0.002124114,0.001198721,0.0006072134,0.001564658,0.6130096,0.01327257,0.1099505,0.002665383,0.2402522],"study_design_scores_gemma":[0.00004163478,0.0004336049,0.002103948,0.0001688373,0.0001465016,0.00007865483,0.0003932526,0.9626449,0.003236635,0.02879674,0.001900758,0.00005460079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09177156,0.001463841,0.8919065,0.000954696,0.0000678823,0.00157154,0.0001544319,0.0001560956,0.01195345],"genre_scores_gemma":[0.638576,0.0005179907,0.3588114,0.00009973944,0.00004761686,0.0009755984,0.0001390495,0.00002797081,0.0008045691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01698137,"threshold_uncertainty_score":0.08980709,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2600584904","doi":"10.1109/iccnc.2017.7876194","title":"Joint RRH selection and beamforming in distributed antenna systems with energy harvesting","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Beamforming; Power budget; Transmission (telecommunications); Antenna (radio); Power (physics); Electronic engineering; Wireless; Mathematical optimization; Telecommunications; Electric power system; Engineering; Mathematics","authors":[{"name":"Yanjie Dong","is_ca":true},{"name":"M. J. Hossain","is_ca":true},{"name":"Julian Cheng","is_ca":true},{"name":"Victor C. M. Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06235989454400951,"gpt":0.2674653390066701,"spread":0.2051054444626606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088157,0.0008721914,0.0009479988,0.0003124567,0.0003997365,0.0008314181,0.0007033776,0.0005528996,0.001061747],"category_scores_gemma":[0.001373055,0.0004305106,0.0004131131,0.0009786241,0.0006765875,0.001014385,0.0009191639,0.0005086506,0.0002925455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004898111,"about_ca_system_score_gemma":0.0005346116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047167,"about_ca_topic_score_gemma":0.00194079,"domain_scores_codex":[0.9992232,0.000356116,0.00002962949,0.0001453909,0.0001404893,0.0001051201],"domain_scores_gemma":[0.9994331,0.0003769659,0.00006896847,0.0000367695,0.00005986286,0.00002436017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001753514,0.00006960439,0.0009909997,0.0001723884,0.00007667444,0.0002466387,0.000170505,0.831251,0.01654807,0.02116612,0.001170419,0.1279622],"study_design_scores_gemma":[0.0000196818,0.0000864203,0.0002050476,0.000006874619,0.00002047425,0.0000860151,0.00004340586,0.9879408,0.002211542,0.008789977,0.0005776962,0.00001213988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0109829,0.0002834172,0.9874039,0.00008333157,0.00001357023,0.00002364964,0.00001530274,0.0000720209,0.001121884],"genre_scores_gemma":[0.8060472,0.0006306655,0.189693,0.00008490947,0.00006712134,0.0001448414,0.00005864368,0.00003390781,0.003239733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001061747,"threshold_uncertainty_score":0.004662216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2603528522","doi":"10.1109/iccnc.2017.7876202","title":"True ConvergeCast scheduling in Wireless Sensor Networks","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Scheduling (production processes); Key distribution in wireless sensor networks; Wireless; Wireless network; Telecommunications; Engineering","authors":[{"name":"Mahesh Bakshi","is_ca":true},{"name":"Brigitte Jaumard","is_ca":true},{"name":"Lata Narayanan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08153028200543427,"gpt":0.3238478600484578,"spread":0.2423175780430236,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612506,0.001029416,0.0009957639,0.0007208267,0.0006536162,0.001709421,0.001393368,0.001088327,0.001265939],"category_scores_gemma":[0.006541536,0.0008370521,0.0009036147,0.001026642,0.001510401,0.002548499,0.001129591,0.001754613,0.0002637599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581619,"about_ca_system_score_gemma":0.002135738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157804,"about_ca_topic_score_gemma":0.001824054,"domain_scores_codex":[0.9983221,0.0006979983,0.00008077043,0.0002485436,0.0004920046,0.0001586346],"domain_scores_gemma":[0.9975287,0.001716754,0.0002335535,0.0001680052,0.0002404861,0.0001125512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007132208,0.00004093359,0.0001565163,0.0001285786,0.00002754031,0.00007449938,0.0001087851,0.8902391,0.001368935,0.09200995,0.001038822,0.01473508],"study_design_scores_gemma":[0.00001771157,0.00004772075,0.00003879399,0.00001327773,0.000007766565,0.00002895901,0.00002860686,0.9503322,0.0008851583,0.04728969,0.001302311,0.00000783988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008402175,0.0002975643,0.9884952,0.000196842,0.0000580627,0.00005486566,0.00004645623,0.0001035559,0.002345318],"genre_scores_gemma":[0.6003876,0.001959169,0.3896903,0.0002592095,0.0002400574,0.0004335713,0.0002502192,0.0002328173,0.006547109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002612506,"threshold_uncertainty_score":0.01381642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2601244914","doi":"10.1109/iccnc.2017.7876226","title":"Performance study of dedicated in-band Control Channels for Cognitive Radio Networks","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Cognitive radio; Control channel; Computer science; Schedule; Channel (broadcasting); Computer network; Channel allocation schemes; Spectrum management; License; Control (management); Scarcity; Telecommunications; Wireless; Base station; Artificial intelligence","authors":[{"name":"Ayman Sabbah","is_ca":true},{"name":"Omneya Issa","is_ca":true},{"name":"Bernard Doray","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.080762075299027,"gpt":0.3308307711694184,"spread":0.2500686958703914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002936195,0.001241515,0.001031272,0.001206427,0.0008625864,0.00175798,0.001062171,0.0007095186,0.002361632],"category_scores_gemma":[0.0147939,0.0002009179,0.0003544477,0.001239699,0.0007684391,0.001161697,0.000910439,0.0007057404,0.0002849338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897586,"about_ca_system_score_gemma":0.001444888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005998155,"about_ca_topic_score_gemma":0.005270051,"domain_scores_codex":[0.9971175,0.0007952009,0.00009143215,0.0003140109,0.0008214373,0.0008604313],"domain_scores_gemma":[0.9788774,0.01425834,0.001457512,0.001013514,0.003850023,0.0005433487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002217843,0.0004380691,0.008488948,0.0004050687,0.0001882863,0.0002946719,0.0002676843,0.8829232,0.02184562,0.01296591,0.001986639,0.06797813],"study_design_scores_gemma":[0.00002336793,0.0008589075,0.003692555,0.00003633028,0.000109248,0.0002887037,0.0001938226,0.9847045,0.007567637,0.001858814,0.0006356386,0.00003055275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091287,0.004575175,0.1611234,0.0004569238,0.0001817843,0.0001399834,0.000441754,0.0005203772,0.02343186],"genre_scores_gemma":[0.9954621,0.0003603662,0.00336293,0.00002893773,0.00002410383,0.00002486318,0.00009442532,0.00002803257,0.0006142135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005998155,"threshold_uncertainty_score":0.01552832,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2413171354","doi":"10.1109/iccnc.2017.7876094","title":"Decentralized AP selection in large-scale wireless LANs considering multi-AP interference","year":2017,"lang":"en","type":"preprint","venue":"2017 International Conference on Computing, Networking and Communications (ICNC)","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Telecommunications link; Interference (communication); Computer science; Signal-to-interference-plus-noise ratio; Throughput; Computer network; Signal-to-noise ratio (imaging); Selection algorithm; Channel (broadcasting); Selection (genetic algorithm); Wireless; Telecommunications; Power (physics); Physics","authors":[{"name":"Phillip B. Oni","is_ca":true},{"name":"Steven D. Blostein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.129335136256484,"gpt":0.368921600868739,"spread":0.239586464612255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612214,0.000783494,0.001495252,0.0005986106,0.001362906,0.001339384,0.001963798,0.001033338,0.0006236982],"category_scores_gemma":[0.003657559,0.0005909425,0.0004559907,0.0009641653,0.001062774,0.001458594,0.001635846,0.0008529864,0.000215303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040338,"about_ca_system_score_gemma":0.001016023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288377,"about_ca_topic_score_gemma":0.003264424,"domain_scores_codex":[0.9985447,0.0005624333,0.00004902478,0.0002829194,0.0003441969,0.0002166775],"domain_scores_gemma":[0.997147,0.001505222,0.0004264213,0.0003319733,0.0004024458,0.0001869272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001688036,0.00007977286,0.002166519,0.00007463434,0.00006342282,0.0004467961,0.0001269963,0.9507085,0.007600062,0.006469831,0.0007123716,0.03138222],"study_design_scores_gemma":[0.00001780856,0.00005087251,0.0003675537,0.000002058504,0.00001819147,0.0000776477,0.00003518809,0.996657,0.0006548392,0.001901076,0.0002103557,0.000007291749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1247454,0.0008298671,0.8709762,0.0002789681,0.00007308002,0.00007776317,0.00003789881,0.0005257854,0.002455151],"genre_scores_gemma":[0.9680873,0.000205532,0.03083114,0.00003318447,0.00007384504,0.00004681439,0.00003047924,0.00001591882,0.0006757706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288377,"threshold_uncertainty_score":0.008526325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}