{"meta":{"query_hash":"81aa2a1069d3","filters":{"venue":"Physical Communication"},"cohort_total":34,"direct_labels_cover":0,"predictions_cover":34,"exported":34,"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/81aa2a1069d3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Physical+Communication"},"results":[{"id":"W1973692534","doi":"10.1016/j.phycom.2013.03.005","title":"New results on performance analysis of opportunistic regenerative relaying","year":2013,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","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 Victoria","funders":"","keywords":"Computer science; Phase-shift keying; Relay; Rayleigh fading; Bit error rate; Transmission (telecommunications); Outage probability; Modulation (music); Telecommunications; Computer network; Fading; Algorithm; Electronic engineering; Channel (broadcasting)","score_opus":0.06563368263755058,"score_gpt":0.3019016298200251,"score_spread":0.2362679471824745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973692534","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":[0.58856744,0.00043606135,0.32041958,0.012013406,0.00010601423,0.0007874214,0.000010289101,0.00035191045,0.07730789],"genre_scores_gemma":[0.98569906,0.00041623274,0.0131958835,0.00017946884,0.00002017579,0.000025175215,0.000058015114,0.000005446356,0.00040052598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998823,0.00029337037,0.00031666097,0.00022050388,0.00021419558,0.00013230855],"domain_scores_gemma":[0.9967453,0.0005026416,0.00023829726,0.0021819652,0.00024411992,0.000087664346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024492122,0.00011529031,0.00024382588,0.00017371094,0.0002262605,0.000080311416,0.0014484313,0.000028444427,0.00001790426],"category_scores_gemma":[0.00010695876,0.00010291839,0.00009915066,0.0014092326,0.000053303305,0.00047009005,0.00044637345,0.00021317707,0.00006131905],"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":[0.000022714243,0.00026252161,0.0002396046,0.0000059804424,0.00028338016,1.378831e-7,0.0045921532,0.0053857593,0.006587718,0.5947058,0.0030380145,0.38487622],"study_design_scores_gemma":[0.00024852453,0.000118345386,0.020711495,0.00004391066,0.00006383068,1.8459296e-7,0.000028452112,0.97375214,0.0027605337,0.0013049963,0.0008126403,0.00015492865],"about_ca_topic_score_codex":0.000046998335,"about_ca_topic_score_gemma":0.000013808562,"teacher_disagreement_score":0.9683664,"about_ca_system_score_codex":0.000047454563,"about_ca_system_score_gemma":0.00005053605,"threshold_uncertainty_score":0.41968903},"labels":[],"label_agreement":null},{"id":"W1989295809","doi":"10.1016/j.phycom.2013.08.002","title":"Special issue on Cognitive radio: The road for its second decade","year":2013,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"Memorial University of Newfoundland; Queen's University","funders":"","keywords":"Cognitive radio; Scholarship; Telecommunications; Computer science; Library science; Transceiver; Wireless; Political science","score_opus":0.0229862044742083,"score_gpt":0.28113130402834297,"score_spread":0.25814509955413467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989295809","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":[0.5328509,0.0009248219,0.10743516,0.044021163,0.0014232422,0.005857857,0.000042008574,0.00051672896,0.30692807],"genre_scores_gemma":[0.99402004,0.000030929295,0.00075671455,0.0009169122,0.0038179902,0.000089462694,0.000015763158,0.000011236965,0.00034092233],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990565,0.00018881286,0.00013740144,0.00023304255,0.00015791306,0.00022631588],"domain_scores_gemma":[0.9978903,0.0011806245,0.000090069865,0.00060005434,0.00018227253,0.00005669758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015531054,0.00012658803,0.00014792425,0.000029497192,0.00041295416,0.00023383767,0.00077750057,0.000034098648,0.000059672282],"category_scores_gemma":[0.000090643356,0.00009401573,0.00009664408,0.00020678094,0.000077510296,0.00037744106,0.00017876273,0.00024936226,0.0003149325],"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":[0.000022878838,0.00021035048,0.0000062641734,0.0000075799817,0.00004105062,3.4925847e-7,0.0024587952,0.00002897258,0.00070380315,0.082634926,0.023477273,0.89040774],"study_design_scores_gemma":[0.0014964507,0.000521046,0.016940217,0.00017690449,0.000046995137,0.000009684682,0.00034726344,0.7896827,0.01595583,0.058029056,0.11615061,0.00064324524],"about_ca_topic_score_codex":0.000016958089,"about_ca_topic_score_gemma":0.000028992943,"teacher_disagreement_score":0.8897645,"about_ca_system_score_codex":0.000039171016,"about_ca_system_score_gemma":0.000018815648,"threshold_uncertainty_score":0.40479252},"labels":[],"label_agreement":null},{"id":"W1994697122","doi":"10.1016/j.phycom.2014.04.010","title":"Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge","year":2014,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"University of Manitoba","funders":"","keywords":"Macrocell; Spectral efficiency; Femtocell; Computer science; Small cell; Path loss; Base station; Fading; Enhanced Data Rates for GSM Evolution; Stochastic geometry; Efficient energy use; Telecommunications link; Transmitter power output; Cellular network; Energy consumption; Moment-generating function; Power control; Computer network; Energy (signal processing); Topology (electrical circuits); Power (physics); Telecommunications; Wireless; Transmitter; Electrical engineering; Mathematics; Random variable; Physics","score_opus":0.008398889378938382,"score_gpt":0.20734333590892856,"score_spread":0.1989444465299902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994697122","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":[0.18818825,0.00012720448,0.8102505,0.000008457819,0.000014272246,0.00004576292,7.951849e-7,0.00007553326,0.0012892119],"genre_scores_gemma":[0.9959096,0.00008516109,0.0038939042,0.00001034543,0.00002501171,0.000011614389,0.000036154397,0.000018557812,0.000009663772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953485,0.000054883483,0.00013862977,0.00011044339,0.000056164565,0.00010503825],"domain_scores_gemma":[0.99919623,0.0001470301,0.000060816717,0.00052549894,0.00003527693,0.00003512301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056145782,0.00010088742,0.00021267877,0.000079855876,0.000042249787,0.000011332973,0.0001486566,0.000032246327,0.0000011460563],"category_scores_gemma":[0.000004953278,0.00009088233,0.000041459756,0.0003723009,0.000044461,0.000040690535,0.000027832744,0.00008248729,8.888148e-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":[0.000008130433,0.000044509772,0.00003761952,0.00000811587,0.00008660979,4.7003727e-8,0.000098459954,0.98991954,0.001988014,0.002594338,0.0000018335463,0.0052127987],"study_design_scores_gemma":[0.00012329477,0.00007714413,0.00018934954,0.000017745124,0.00012409907,2.9694246e-7,0.000004443231,0.9924179,0.0068237865,0.00008370856,0.000043301767,0.00009494782],"about_ca_topic_score_codex":0.000020339776,"about_ca_topic_score_gemma":0.000036918173,"teacher_disagreement_score":0.8077213,"about_ca_system_score_codex":0.000025076597,"about_ca_system_score_gemma":0.0000018391233,"threshold_uncertainty_score":0.37060738},"labels":[],"label_agreement":null},{"id":"W2011492325","doi":"10.1016/j.phycom.2014.04.009","title":"A survey of QoS/QoE mechanisms in heterogeneous wireless networks","year":2014,"lang":"en","type":"article","venue":"Physical Communication","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":38,"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 Guelph","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Instituto de Telecomunicações","keywords":"Computer science; Quality of service; Heterogeneous network; Handover; Wireless network; Wireless; Quality of experience; Computer network; Scheduling (production processes); Reliability (semiconductor); Variety (cybernetics); UMTS frequency bands; Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.023066370863237436,"score_gpt":0.2569419938832254,"score_spread":0.233875623019988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011492325","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":[0.26917937,0.0002900896,0.7286193,0.0006576463,0.000052550233,0.00018498216,0.0000018334156,0.00027405945,0.00074019824],"genre_scores_gemma":[0.9923419,0.00015069847,0.007340164,0.000084652595,0.0000075445764,0.0000403891,0.000020659812,0.000009756548,0.000004259161],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841267,0.0006861379,0.00030811818,0.00021430143,0.00017392449,0.00020482905],"domain_scores_gemma":[0.99614257,0.0007290173,0.00020948173,0.0027430935,0.0001351884,0.00004065609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070481544,0.00012604584,0.00027975114,0.00010502052,0.000085593725,0.00004687579,0.003222386,0.000087765125,9.1978603e-7],"category_scores_gemma":[0.00013178597,0.00012370628,0.000053951997,0.0007165501,0.00012229066,0.00024085259,0.0010536677,0.00029882995,0.000008703355],"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":[0.000015416697,0.0005559758,0.001910925,0.000016727201,0.000015659809,2.2217475e-7,0.00045036722,0.005102972,0.0017959789,0.7110919,0.000051362913,0.27899253],"study_design_scores_gemma":[0.0002586826,0.00008291774,0.02981314,0.00003590783,0.0000023818886,7.603378e-7,0.0000114846225,0.924707,0.008754133,0.03609844,0.00007067272,0.00016448465],"about_ca_topic_score_codex":0.0005459635,"about_ca_topic_score_gemma":0.00040795206,"teacher_disagreement_score":0.919604,"about_ca_system_score_codex":0.000029251878,"about_ca_system_score_gemma":0.000020364441,"threshold_uncertainty_score":0.59880483},"labels":[],"label_agreement":null},{"id":"W2029359097","doi":"10.1016/j.phycom.2013.03.003","title":"Introduction to the Special Issue on Network Coding and its Applications to Wireless Communications","year":2013,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Wireless; Computer network; Coding (social sciences); Wireless network; Telecommunications","score_opus":0.038737554655470054,"score_gpt":0.30539111830734894,"score_spread":0.26665356365187887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029359097","genre_codex":"commentary","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":[0.011264856,0.00083176093,0.18026687,0.77552253,0.0003933447,0.0050577126,0.0000063650577,0.0005314779,0.026125109],"genre_scores_gemma":[0.9766928,0.0011433181,0.009865654,0.004263605,0.0057270476,0.0017539529,0.000028706105,0.000020459393,0.00050448475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833876,0.0005212646,0.00027506336,0.00036988044,0.00022473425,0.0002702745],"domain_scores_gemma":[0.9946529,0.00070583273,0.00010484349,0.0040286193,0.0003304579,0.00017733705],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004372957,0.00017810188,0.00018807541,0.00007965213,0.0014223828,0.0004020359,0.0034963517,0.000038170543,0.000042774795],"category_scores_gemma":[0.00010532433,0.0001494004,0.000046001158,0.0011906885,0.000075734344,0.0004476203,0.0023505029,0.00040741795,0.0017401903],"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":[0.0000041959115,0.00013008555,0.000009030571,0.000003201341,0.000012387128,1.691485e-8,0.0017148637,0.0007638166,0.00093491847,0.62865233,0.08247532,0.28529984],"study_design_scores_gemma":[0.00012161102,0.00008393784,0.0016516584,0.000038406855,0.00000896644,0.000001710779,0.000093044575,0.097291276,0.00042563712,0.0037915548,0.8962375,0.00025472423],"about_ca_topic_score_codex":0.000014154528,"about_ca_topic_score_gemma":0.00008703264,"teacher_disagreement_score":0.96542794,"about_ca_system_score_codex":0.0000851349,"about_ca_system_score_gemma":0.000026050824,"threshold_uncertainty_score":0.99987763},"labels":[],"label_agreement":null},{"id":"W2047256318","doi":"10.1016/j.phycom.2008.12.003","title":"Fairness and throughput performance of infrastructure IEEE 802.11 networks with hidden-nodes","year":2008,"lang":"en","type":"article","venue":"Physical Communication","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Throughput; Computer network; IEEE 802.11; Wireless; Telecommunications","score_opus":0.014200845452383397,"score_gpt":0.23614929213451977,"score_spread":0.22194844668213637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047256318","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":[0.9056099,0.00012199547,0.09299379,0.00013897785,0.000018362587,0.0006557841,5.840331e-7,0.00005800648,0.0004025809],"genre_scores_gemma":[0.9862434,0.00019181716,0.013230102,0.000053054748,0.000063161744,0.00019691505,0.0000041161124,0.0000082013385,0.00000920174],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927235,0.00009464583,0.00014179423,0.00017629038,0.00016446489,0.00015047331],"domain_scores_gemma":[0.9987116,0.00013058186,0.00013423628,0.0008899661,0.0000899562,0.000043685468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008291772,0.00011835512,0.00019314773,0.00002038458,0.00021236656,0.000034995246,0.0007745865,0.00004628842,0.0000010731746],"category_scores_gemma":[0.0000028825748,0.000090485984,0.000026298809,0.00027618808,0.0002261613,0.0005149515,0.00023959359,0.00020247014,0.0000011522924],"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":[0.00033311232,0.0008918578,0.23422189,0.0003251457,0.00014169727,0.0000064018927,0.01447077,0.16396375,0.00170572,0.14008938,0.0021826564,0.44166762],"study_design_scores_gemma":[0.00046504405,0.00021763187,0.16276042,0.0001428958,0.0000076524975,0.000019856263,0.000015736516,0.8316931,0.0019391859,0.002164676,0.00035513018,0.00021866361],"about_ca_topic_score_codex":0.000029602777,"about_ca_topic_score_gemma":0.000006738657,"teacher_disagreement_score":0.6677294,"about_ca_system_score_codex":0.000012273581,"about_ca_system_score_gemma":0.000027202108,"threshold_uncertainty_score":0.36899114},"labels":[],"label_agreement":null},{"id":"W2145322824","doi":"10.1016/j.phycom.2012.04.007","title":"Interference mitigation for cognitive radio MIMO systems based on practical precoding","year":2012,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"International Science and Technology Cooperation Programme; Engineering and Physical Sciences Research Council; Guilin University of Electronic Technology; Ministry of Science and Technology; Research Councils UK; National Natural Science Foundation of China; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Nortel Networks Inc; Department of Science and Technology, Hubei Provincial People's Government; University of Edinburgh; Heriot-Watt University","keywords":"Precoding; Zero-forcing precoding; Interference (communication); Cognitive radio; MIMO; Transmission (telecommunications); Throughput","score_opus":0.04054740957625802,"score_gpt":0.3148894739483746,"score_spread":0.27434206437211656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145322824","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":[0.014968589,0.00016947679,0.97999793,0.00008895515,0.000224578,0.0008266934,0.000020064177,0.00028383083,0.0034198929],"genre_scores_gemma":[0.9909113,0.000012457594,0.008138928,0.000019062252,0.00018607167,0.0004755032,0.00020317307,0.0000380589,0.000015431026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925536,0.00013373588,0.00019814103,0.00011143246,0.00009778446,0.00020352374],"domain_scores_gemma":[0.99821764,0.0011637654,0.00008450803,0.00034653235,0.0001160026,0.00007152043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020949855,0.00013337807,0.00016236535,0.000053401243,0.00009896054,0.000040267707,0.000119037875,0.000057137055,0.0000023756347],"category_scores_gemma":[0.0002626552,0.00013926264,0.000047595666,0.00012072525,0.000032035772,0.00054265046,0.000019597717,0.00017666267,0.000033414926],"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":[0.00034025178,0.00143055,0.0012792511,0.0011729082,0.00019705875,2.9986285e-7,0.005945701,0.8499344,0.025846282,0.09531078,0.001868095,0.01667443],"study_design_scores_gemma":[0.00037750328,0.000058025533,0.0001810275,0.00026188072,0.000032490516,0.0000010976655,0.00019422157,0.9923836,0.0058858097,0.00018424369,0.00027394257,0.00016614796],"about_ca_topic_score_codex":0.0000035887097,"about_ca_topic_score_gemma":9.943847e-7,"teacher_disagreement_score":0.97594273,"about_ca_system_score_codex":0.00015009196,"about_ca_system_score_gemma":0.000010412383,"threshold_uncertainty_score":0.5678966},"labels":[],"label_agreement":null},{"id":"W2276047994","doi":"10.1016/j.phycom.2013.05.001","title":"A history-aware greedy channel restoration scheme for cognitive radio-based LTE networks","year":2013,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Computer science; Cognitive radio; Computer network; Scheme (mathematics); Channel (broadcasting); Telecommunications; Wireless","score_opus":0.03165424981752435,"score_gpt":0.2575854960317833,"score_spread":0.22593124621425897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276047994","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":[0.017227475,0.0005369618,0.9783406,0.002152926,0.00014043135,0.00079633994,0.0000023604987,0.00020786084,0.0005950273],"genre_scores_gemma":[0.9908274,0.000023410603,0.007905357,0.0005560853,0.00026855455,0.00023167982,0.000115971896,0.00002118893,0.000050359613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987424,0.00021569403,0.00021015172,0.00034139171,0.00018920156,0.0003011641],"domain_scores_gemma":[0.9978044,0.00071762013,0.00018487914,0.00074079813,0.0004512203,0.000101081416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021017806,0.00018110158,0.00022239372,0.00007377967,0.00029046525,0.00013814891,0.0005879293,0.00006786619,0.000006082],"category_scores_gemma":[0.00007465014,0.00018587535,0.00012765263,0.00026070068,0.00010855238,0.000723549,0.00013677837,0.00026022876,0.000030081806],"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":[0.00045708052,0.0035440903,0.00048455884,0.00019299351,0.0004175608,0.0000073336514,0.010374452,0.014258568,0.008525089,0.27125603,0.05435572,0.6361265],"study_design_scores_gemma":[0.000606143,0.00013119802,0.0013463655,0.000081221195,0.000016251513,0.0000011854535,0.000032772536,0.9905552,0.0002515663,0.005965088,0.00078132306,0.00023166304],"about_ca_topic_score_codex":0.0001006381,"about_ca_topic_score_gemma":0.000021813956,"teacher_disagreement_score":0.97629666,"about_ca_system_score_codex":0.0002649319,"about_ca_system_score_gemma":0.000069637295,"threshold_uncertainty_score":0.75797766},"labels":[],"label_agreement":null},{"id":"W2528782828","doi":"10.1016/j.phycom.2016.09.004","title":"Power allocation for cognitive underlay networks with spectrum band selection","year":2016,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Underlay; Computer science; Interference (communication); Transmission (telecommunications); Cognitive radio; Power control; Transmitter power output; Channel (broadcasting); Power (physics); Computer network; Channel state information; Selection (genetic algorithm); Telecommunications; Topology (electrical circuits); Electronic engineering; Signal-to-noise ratio (imaging); Wireless; Transmitter; Electrical engineering; Engineering; Physics","score_opus":0.012450801207182264,"score_gpt":0.2496819860922191,"score_spread":0.23723118488503683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528782828","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":[0.044740934,0.000065361484,0.94884086,0.0038322592,0.00003963149,0.00034775437,0.0000014548906,0.00014484474,0.0019868952],"genre_scores_gemma":[0.9960427,0.000043846245,0.0034765129,0.000160696,0.00013910406,0.00004479361,0.000011847586,0.000016612905,0.00006388089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990284,0.00013153412,0.00013252851,0.0003045408,0.00014757636,0.00025541894],"domain_scores_gemma":[0.99835914,0.0008659263,0.00011838833,0.00040090614,0.0001957699,0.000059842547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017608091,0.00013939316,0.00015013789,0.000048491376,0.00028759908,0.00011127503,0.00031916297,0.000041523388,0.0000040380955],"category_scores_gemma":[0.000036007114,0.000096060314,0.000059314712,0.000331814,0.00008577954,0.0005253851,0.00006267153,0.00011637135,0.0000090081485],"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":[0.0005672483,0.0009052901,0.001342188,0.000016514252,0.00029035416,0.0000015809679,0.0018484335,0.0016991607,0.010927546,0.6050483,0.0008779563,0.37647542],"study_design_scores_gemma":[0.00349188,0.0014990962,0.022557193,0.0004964487,0.0000896171,0.000031692176,0.00010529864,0.861492,0.024486866,0.083384685,0.0014682712,0.0008969638],"about_ca_topic_score_codex":0.000011240059,"about_ca_topic_score_gemma":0.000076383665,"teacher_disagreement_score":0.95130175,"about_ca_system_score_codex":0.00009307797,"about_ca_system_score_gemma":0.000035263103,"threshold_uncertainty_score":0.3917226},"labels":[],"label_agreement":null},{"id":"W2565469751","doi":"10.1016/j.phycom.2016.12.001","title":"Cognitive radio network with secrecy and interference constraints","year":2016,"lang":"en","type":"article","venue":"Physical Communication","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive radio; Secrecy; Interference (communication); Co-channel interference; Computer network; Telecommunications; Computer security; Wireless; Channel (broadcasting)","score_opus":0.016083350681746864,"score_gpt":0.24961991300952108,"score_spread":0.2335365623277742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565469751","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":[0.8284027,0.00079868705,0.14939548,0.000787677,0.000018183306,0.00040200044,0.000018858604,0.0011312499,0.019045198],"genre_scores_gemma":[0.99661624,0.0006984868,0.0025179805,0.00002911159,0.00002505203,0.0000696986,0.00001289565,0.000020924519,0.000009583537],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994671,0.00010513808,0.00011409429,0.00010329535,0.00007558083,0.00013484269],"domain_scores_gemma":[0.99874574,0.0005347318,0.000036962865,0.0005575241,0.00007237091,0.000052652467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009778828,0.00011349471,0.00014171287,0.000024458242,0.00007354352,0.000027746612,0.0003048816,0.00003601803,0.000015033911],"category_scores_gemma":[0.000026073707,0.00008236517,0.000017697548,0.00010769868,0.00038817982,0.0002144819,0.00013075164,0.00017166605,0.00001661345],"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":[0.00010240282,0.000202537,0.0037632827,0.00007081779,0.00020293354,0.0000012482259,0.004028138,0.000088166315,0.01584526,0.1857653,0.00082170404,0.7891082],"study_design_scores_gemma":[0.012309591,0.0019850596,0.1599773,0.015648538,0.00056544616,0.00020193512,0.003069,0.15029848,0.20338231,0.43187487,0.014029996,0.006657464],"about_ca_topic_score_codex":0.0000054716756,"about_ca_topic_score_gemma":0.000017196517,"teacher_disagreement_score":0.78245074,"about_ca_system_score_codex":0.000032639313,"about_ca_system_score_gemma":0.000008115919,"threshold_uncertainty_score":0.33587542},"labels":[],"label_agreement":null},{"id":"W2752661757","doi":"10.1016/j.phycom.2017.08.018","title":"MRC SC-FDMA scheme performance evaluation based on measurements at 30 GHz for 5G communications","year":2017,"lang":"en","type":"article","venue":"Physical Communication","topic":"PAPR reduction in OFDM","field":"Engineering","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":"Université du Québec en Outaouais","funders":"","keywords":"Non-line-of-sight propagation; Telecommunications link; Computer science; Frequency-division multiple access; Electronic engineering; Waveform; Bit error rate; Transmission (telecommunications); Channel (broadcasting); Maximal-ratio combining; Multipath propagation; Telecommunications; Wireless; Orthogonal frequency-division multiplexing; Fading; Engineering; Radar","score_opus":0.2053426491648539,"score_gpt":0.37886064047862944,"score_spread":0.17351799131377554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752661757","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":[0.91241163,0.00030792356,0.001265394,0.0021908288,0.00035011143,0.0016997427,0.000028232274,0.00047630482,0.08126985],"genre_scores_gemma":[0.99445224,0.0000743765,0.004194283,0.000051542494,0.00009536278,0.00082336576,0.00020229127,0.000043399075,0.000063116895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988052,0.00013137716,0.00023619682,0.00017714761,0.00044369613,0.00020635218],"domain_scores_gemma":[0.9948868,0.00019379567,0.00016511416,0.0043821638,0.0003044018,0.0000677142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066201115,0.00017390538,0.0001738917,0.000062074854,0.0012924755,0.00010004672,0.001520824,0.0000656432,0.00003411103],"category_scores_gemma":[0.00028668658,0.00019117384,0.00009288531,0.000072048075,0.00017482499,0.0003761063,0.0001341715,0.00023978786,0.00022393094],"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":[0.00040419126,0.0028282178,0.016501253,0.00060292217,0.0005450721,1.1714069e-7,0.0022244768,0.47477472,0.2311171,0.00835399,0.019891094,0.24275684],"study_design_scores_gemma":[0.00083979906,0.00004867363,0.01752528,0.0000983489,0.000041783354,2.2916821e-7,0.00000934992,0.9507193,0.024173813,0.000536787,0.0057990095,0.00020763787],"about_ca_topic_score_codex":0.000011600904,"about_ca_topic_score_gemma":0.000014553493,"teacher_disagreement_score":0.47594458,"about_ca_system_score_codex":0.00047004,"about_ca_system_score_gemma":0.000032308446,"threshold_uncertainty_score":0.9940807},"labels":[],"label_agreement":null},{"id":"W2873932147","doi":"10.1016/j.phycom.2018.07.007","title":"Biologically inspired covert underwater acoustic communication—A review","year":2018,"lang":"en","type":"article","venue":"Physical Communication","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":47,"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":"National Natural Science Foundation of China; Federation for the Humanities and Social Sciences; Natural Science Foundation of Heilongjiang Province; Woods Hole Oceanographic Institution","keywords":"Covert; Underwater; Computer science; Underwater acoustic communication; Marine mammal; Interception; SIGNAL (programming language); Process (computing); Similarity (geometry); Acoustics; Artificial intelligence; Oceanography; Ecology; Geology","score_opus":0.026891258595793027,"score_gpt":0.26484268218831486,"score_spread":0.23795142359252183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2873932147","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":[0.42222473,0.09809345,0.124355465,0.0269825,0.00039192042,0.005119397,0.000112759524,0.0082918415,0.31442794],"genre_scores_gemma":[0.98402536,0.012196579,0.0019833609,0.0012166852,0.00008571609,0.00014891956,0.00016503625,0.000041244784,0.00013708087],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985242,0.00037867684,0.00044701362,0.00018592898,0.0002017143,0.0002625015],"domain_scores_gemma":[0.9969175,0.0002255758,0.000101735095,0.0024296741,0.00023091696,0.0000945851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034265587,0.00022520816,0.00034480693,0.000047682704,0.000327864,0.00007760923,0.0014940934,0.000086774024,0.00009226009],"category_scores_gemma":[0.000017140323,0.00019324878,0.00011196068,0.0003415554,0.00029983564,0.00026082472,0.00038330274,0.00032992839,0.00082748797],"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":[0.00019913795,0.0033679497,0.0028219358,0.004889703,0.0015449551,0.0000034113064,0.013662145,0.0027539434,0.5702973,0.04312317,0.12764262,0.22969371],"study_design_scores_gemma":[0.00148973,0.00036984036,0.0042019547,0.0037445985,0.0002726697,0.000034770066,0.000364614,0.08718676,0.02651239,0.0313106,0.8426448,0.0018672526],"about_ca_topic_score_codex":0.000057141424,"about_ca_topic_score_gemma":0.000057893194,"teacher_disagreement_score":0.7150022,"about_ca_system_score_codex":0.00010212693,"about_ca_system_score_gemma":0.000016548327,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W2887180200","doi":"10.1016/j.phycom.2018.07.017","title":"An efficient time-switching relaying protocol for multiuser cognitive radio relay networks with SWIPT","year":2018,"lang":"en","type":"article","venue":"Physical Communication","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","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":"Memorial University of Newfoundland","funders":"Deanship of Scientific Research, King Saud University; National Plan for Science,Technology and Innovation","keywords":"Relay; Computer science; Underlay; Computer network; Cognitive radio; Node (physics); Wireless; Maximum power transfer theorem; Protocol (science); Signal-to-noise ratio (imaging); Power (physics); Telecommunications; Engineering","score_opus":0.014513798746237724,"score_gpt":0.28765675372440314,"score_spread":0.27314295497816543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887180200","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":[0.264587,0.000021356896,0.6907145,0.00004120465,0.00006248377,0.040463142,0.0000038886055,0.0013224358,0.002784003],"genre_scores_gemma":[0.9217702,9.2203504e-7,0.015914382,0.000030614967,0.0004075836,0.06170635,0.0000488399,0.0001021636,0.000018947025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988907,0.00014390165,0.00022728584,0.00024909756,0.00015672269,0.00033228632],"domain_scores_gemma":[0.99821216,0.00063472526,0.00010034148,0.0007589056,0.00019495361,0.00009893676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027958505,0.00022439728,0.00021824912,0.00004232664,0.00036900595,0.00008367361,0.00041560797,0.00009568334,0.0000045878883],"category_scores_gemma":[0.00005387943,0.00020202238,0.000051586383,0.00023804574,0.000121279176,0.00022022151,0.00006604881,0.00042460428,0.000020556714],"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":[0.00013756864,0.00017526913,0.00011877125,0.000031638338,0.00004499262,3.0402717e-7,0.0009503431,0.9882342,0.0016552774,0.0005478073,0.000117259486,0.007986527],"study_design_scores_gemma":[0.0010079498,0.00024003787,0.00064654945,0.0004357015,0.000030496843,0.0000018372369,0.000037675556,0.9951031,0.0017619767,0.0000614855,0.00039079896,0.0002823406],"about_ca_topic_score_codex":0.000014254168,"about_ca_topic_score_gemma":0.000018335708,"teacher_disagreement_score":0.6748001,"about_ca_system_score_codex":0.00008530695,"about_ca_system_score_gemma":0.000014307333,"threshold_uncertainty_score":0.82382333},"labels":[],"label_agreement":null},{"id":"W2944107031","doi":"10.1016/j.phycom.2019.100705","title":"On the performance of cognitive two-way relay networks with multi-user scheduling and shadowing","year":2019,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Relay; Fading; Scheduling (production processes); Cognitive radio; Outage probability; Ergodic theory; Wireless; Computer network; Diversity gain; Telecommunications; Mathematical optimization; Channel (broadcasting); Mathematics","score_opus":0.02787491568401198,"score_gpt":0.2760612250773842,"score_spread":0.2481863093933722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944107031","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":[0.94182587,0.00029815253,0.055844083,0.0006677205,0.000016579863,0.00026836907,3.0382228e-7,0.00004193677,0.0010370015],"genre_scores_gemma":[0.99439484,0.00033395216,0.0048723216,0.00029157897,0.000011987525,0.000026511178,0.00000468855,0.000008802427,0.000055303884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991091,0.00029657644,0.00014047061,0.00018253163,0.00014337387,0.00012794796],"domain_scores_gemma":[0.997262,0.0013699536,0.00012490731,0.0010580443,0.00015356386,0.00003152187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003562622,0.00011024127,0.00014609238,0.000030885196,0.00027093128,0.000067707515,0.00084650936,0.000021615773,0.000004564371],"category_scores_gemma":[0.000049409344,0.000073142946,0.000029137895,0.00032220894,0.000115656236,0.0003380669,0.00052206934,0.0003716977,0.000015696622],"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":[0.00013201706,0.0005675591,0.011994998,0.000027269463,0.00010954256,2.641171e-7,0.008405645,0.075993605,0.0031181688,0.83106524,0.000023800643,0.06856187],"study_design_scores_gemma":[0.0005081242,0.00014306855,0.009932367,0.00036096817,0.0000076110937,8.920051e-7,0.0000827999,0.9876732,0.0010476601,0.00009271561,0.00003725055,0.00011333472],"about_ca_topic_score_codex":0.0000050899334,"about_ca_topic_score_gemma":0.00000811313,"teacher_disagreement_score":0.9116796,"about_ca_system_score_codex":0.00001711868,"about_ca_system_score_gemma":0.000015240778,"threshold_uncertainty_score":0.2982683},"labels":[],"label_agreement":null},{"id":"W2947809570","doi":"10.1016/j.phycom.2019.100711","title":"Editorial on Technologies and Designs for Cooperative and Heterogeneous Vehicular Networks","year":2019,"lang":"en","type":"article","venue":"Physical Communication","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"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":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Computer network; Distributed computing","score_opus":0.010632713514575638,"score_gpt":0.23042681526478037,"score_spread":0.21979410175020472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947809570","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":[0.984886,0.0019035133,0.009395249,0.00017791256,0.0018796355,0.0009614196,0.00000789592,0.0005705113,0.00021789521],"genre_scores_gemma":[0.9976028,0.0003374293,0.00049952965,0.000016589967,0.0013905938,0.0000922746,0.000028958515,0.000025446665,0.0000063633015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949455,0.000042198826,0.00008845609,0.00013982049,0.00007645242,0.00015849386],"domain_scores_gemma":[0.9992063,0.00029194268,0.000021460652,0.00041162307,0.00004072235,0.00002796645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008914861,0.00012487949,0.0001636234,0.00002187231,0.000082138875,0.00004656879,0.00015476061,0.00010477549,7.107163e-7],"category_scores_gemma":[0.000023668706,0.00011679148,0.000027845013,0.00006560317,0.00006319896,0.00008272549,0.000082260936,0.00023931345,0.000005711104],"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":[0.000029822588,0.000028852926,0.000026686994,0.000022722392,0.00004207187,1.3472622e-7,0.00011043517,0.98348224,0.002975582,0.002248732,0.0022414515,0.008791258],"study_design_scores_gemma":[0.00035933446,0.00016632896,0.000041787564,0.000031206895,0.000014817731,0.0000012548019,0.000036605798,0.9868995,0.002094744,0.0012473156,0.008960297,0.00014678939],"about_ca_topic_score_codex":0.0000021971011,"about_ca_topic_score_gemma":0.000004394557,"teacher_disagreement_score":0.0127168475,"about_ca_system_score_codex":0.000030469128,"about_ca_system_score_gemma":0.0000035161233,"threshold_uncertainty_score":0.47626185},"labels":[],"label_agreement":null},{"id":"W2993922222","doi":"10.1016/j.phycom.2019.100965","title":"Unmanned aerial vehicle assisted communications and networking","year":2019,"lang":"en","type":"article","venue":"Physical Communication","topic":"UAV Applications and Optimization","field":"Engineering","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":"Carleton University","funders":"","keywords":"Computer science; Telecommunications; Computer network; Real-time computing","score_opus":0.013682229781424714,"score_gpt":0.23451397225181278,"score_spread":0.22083174247038806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993922222","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":[0.9578137,0.0016922804,0.004539337,0.0008629355,0.00012627122,0.000610968,0.000008231597,0.00064215896,0.033704106],"genre_scores_gemma":[0.99545413,0.0007677333,0.0034319072,0.000035362522,0.000060840124,0.00006167573,0.00012622663,0.000023475748,0.000038668197],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995159,0.00005555636,0.0001393461,0.00010080223,0.00007221067,0.00011620516],"domain_scores_gemma":[0.99862254,0.00013361897,0.000036849953,0.0011253301,0.000041321015,0.000040328632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007964454,0.00009090349,0.00011804423,0.000031072977,0.00014079605,0.000056155422,0.0003517309,0.000043383658,0.00001024492],"category_scores_gemma":[0.0000030021058,0.00009886689,0.000027729619,0.00021434536,0.000057730005,0.00017127849,0.00015431826,0.00015941274,0.00007994501],"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":[0.00007456207,0.0009596692,0.0119316,0.00022068834,0.00028464332,2.470179e-7,0.0047180597,0.03611585,0.15173332,0.1631109,0.0024411702,0.62840927],"study_design_scores_gemma":[0.0003233002,0.000020790978,0.007848946,0.000023739005,0.000018771912,8.378565e-7,0.000050735634,0.97117436,0.0003124783,0.00200192,0.018064516,0.00015963097],"about_ca_topic_score_codex":0.000018632802,"about_ca_topic_score_gemma":0.000015461299,"teacher_disagreement_score":0.9350585,"about_ca_system_score_codex":0.00003595402,"about_ca_system_score_gemma":0.000005188755,"threshold_uncertainty_score":0.4031675},"labels":[],"label_agreement":null},{"id":"W3043432218","doi":"10.1016/j.phycom.2020.101172","title":"Delivery phase in cache-based wireless networks with modified LT codes","year":2020,"lang":"en","type":"article","venue":"Physical Communication","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Encoding (memory); Cache; Coding (social sciences); Decoding methods; Wireless; Latency (audio); Computer network; Erasure code; Channel (broadcasting); Theoretical computer science; Algorithm; Telecommunications; Artificial intelligence","score_opus":0.035165049886444345,"score_gpt":0.25815750422731354,"score_spread":0.2229924543408692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043432218","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":[0.6564677,0.000113767215,0.34045675,0.002354073,0.0000098057435,0.000114031915,0.0000014879338,0.00013491753,0.0003474779],"genre_scores_gemma":[0.9978883,0.000017601213,0.0010420189,0.0009497174,0.00003401265,0.00002777302,0.000028162625,0.000008743891,0.0000036147464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906933,0.00021406349,0.0001405031,0.0002379158,0.00017447022,0.00016373995],"domain_scores_gemma":[0.9988294,0.00022248259,0.00007264695,0.0007272725,0.00006357126,0.00008461595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110323905,0.00011648075,0.00017824548,0.000032522355,0.00009997377,0.00009345095,0.0009849018,0.000031332307,5.8329886e-7],"category_scores_gemma":[0.000012172561,0.000104520666,0.000049370203,0.000379664,0.000057807454,0.0002919234,0.00018761633,0.0003004071,0.000008292906],"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":[0.0011477217,0.003910618,0.0013859383,0.00007319553,0.00009749208,0.000039717703,0.008082429,0.59093314,0.032927915,0.09719439,0.0007111994,0.26349625],"study_design_scores_gemma":[0.0011668564,0.00013540279,0.00029236573,0.000035620433,0.000007226127,4.2858744e-7,0.000020885205,0.997322,0.000620443,0.00020742576,0.000051821542,0.00013950458],"about_ca_topic_score_codex":0.00021380773,"about_ca_topic_score_gemma":0.000051712246,"teacher_disagreement_score":0.40638888,"about_ca_system_score_codex":0.00003721043,"about_ca_system_score_gemma":0.00004164701,"threshold_uncertainty_score":0.4262229},"labels":[],"label_agreement":null},{"id":"W3133005020","doi":"10.1016/j.phycom.2021.101293","title":"Power allocation and scaling law analysis for secured and energy efficient URLLC IoT networks","year":2021,"lang":"en","type":"article","venue":"Physical Communication","topic":"Wireless Communication Security Techniques","field":"Engineering","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":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Mathematical optimization; Throughput; Internet of Things; Scaling; Reliability (semiconductor); Efficient energy use; Transmitter power output; Optimization problem; Power (physics); Computer network; Algorithm; Telecommunications; Wireless; Computer security; Mathematics","score_opus":0.009086286853525983,"score_gpt":0.24172725304885326,"score_spread":0.2326409661953273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133005020","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":[0.489088,0.0075475615,0.49830383,0.0012998516,0.000029385568,0.00021190911,0.000013555405,0.00064132403,0.0028645797],"genre_scores_gemma":[0.992756,0.0006260607,0.006155523,0.00011978363,0.000018923058,0.00009753033,0.00019482104,0.000023704682,0.000007625568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992948,0.00011564117,0.00019566715,0.00016370718,0.00009547272,0.00013472194],"domain_scores_gemma":[0.99856925,0.00033897473,0.00005019874,0.0008367893,0.00014684042,0.000057941234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015994144,0.00012274935,0.00021984924,0.000060995095,0.00017640037,0.00008452808,0.00020879351,0.00007321461,0.000002983203],"category_scores_gemma":[0.000021974904,0.00014044772,0.00007069249,0.00038316823,0.00009100107,0.00006897583,0.00016816215,0.00014918,4.9547197e-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":[0.000018488532,0.0002758871,0.00014873769,0.00006390667,0.000525188,2.6861238e-7,0.0026324538,0.23387735,0.012406475,0.7361709,0.00021477383,0.013665579],"study_design_scores_gemma":[0.000151398,0.000008337576,0.00080635486,0.000022201333,0.00011114592,8.600565e-7,0.00008763028,0.9853598,0.0065427613,0.0029180422,0.0038312704,0.00016022881],"about_ca_topic_score_codex":0.000041848536,"about_ca_topic_score_gemma":0.00010380437,"teacher_disagreement_score":0.7514824,"about_ca_system_score_codex":0.000039975886,"about_ca_system_score_gemma":0.0000060024536,"threshold_uncertainty_score":0.57272923},"labels":[],"label_agreement":null},{"id":"W3159255481","doi":"10.1016/j.phycom.2021.101352","title":"Physical layer secrecy performance analysis of relay selection in a cooperative wireless network","year":2021,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Secrecy; Relay; Computer science; Physical layer; Computer network; Selection (genetic algorithm); Wireless; Transmission (telecommunications); PHY; Secure transmission; Telecommunications; Computer security; Artificial intelligence","score_opus":0.03321907957227433,"score_gpt":0.3027233771348125,"score_spread":0.2695042975625382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159255481","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":[0.95378363,0.00030321805,0.043207806,0.00059166213,0.000023254444,0.00012939367,0.0000013100097,0.00006592146,0.0018938079],"genre_scores_gemma":[0.99631536,0.000775389,0.0025636416,0.00012534924,0.000045438363,0.000047497335,0.000046022553,0.000008849757,0.00007247089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980417,0.0008695474,0.00031829416,0.00031359858,0.00023503606,0.00022180588],"domain_scores_gemma":[0.9977199,0.00050469843,0.0001686499,0.0010994206,0.00045434549,0.000052979118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034752765,0.00015180573,0.00043502095,0.00014078674,0.00023322762,0.00007232174,0.0009521542,0.00004577218,0.000011488539],"category_scores_gemma":[0.000054672222,0.00015290109,0.00014558417,0.0052904636,0.00008048134,0.00053040095,0.00063951797,0.000421232,0.000010619709],"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":[0.000047826936,0.001983692,0.017306913,0.00002874774,0.00062724884,0.0000016023695,0.011951926,0.3726137,0.044418957,0.46397737,0.00019210702,0.08684992],"study_design_scores_gemma":[0.00022992752,0.000047644167,0.046762854,0.00005296263,0.00006743178,8.1452777e-7,0.00004187787,0.94286734,0.009063437,0.0004986048,0.00020732982,0.00015978841],"about_ca_topic_score_codex":0.00001799532,"about_ca_topic_score_gemma":0.0003834904,"teacher_disagreement_score":0.5702537,"about_ca_system_score_codex":0.00009848665,"about_ca_system_score_gemma":0.000101905855,"threshold_uncertainty_score":0.62351257},"labels":[],"label_agreement":null},{"id":"W4293079979","doi":"10.1016/j.phycom.2022.101837","title":"A matching-theoretic approach to resource allocation in D2D-enabled downlink NOMA cellular networks","year":2022,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Kuwait University; Kuwait Foundation for the Advancement of Sciences; Dartmouth College","keywords":"Noma; Computer science; Telecommunications link; Resource allocation; Matching (statistics); Cellular network; Computer network; Distributed computing; Mathematics","score_opus":0.010402977689774945,"score_gpt":0.21943411683964767,"score_spread":0.20903113914987273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293079979","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":[0.48571476,0.0012407693,0.49444398,0.0012639259,0.000053676333,0.0010503416,0.0000080701975,0.0018202082,0.014404287],"genre_scores_gemma":[0.99006504,0.000097397526,0.008420438,0.00009740075,0.000021780917,0.0009823662,0.00023399467,0.000055824756,0.000025773645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867284,0.00030554208,0.00030635833,0.00022683476,0.00021348112,0.0002749704],"domain_scores_gemma":[0.9976034,0.0002369991,0.000073243726,0.0020063103,0.000030344812,0.00004965893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034838848,0.00018164374,0.00023460906,0.00017913757,0.00027723183,0.00003501813,0.0015829903,0.000058209018,0.000008161502],"category_scores_gemma":[0.000025314806,0.00021624178,0.00005441955,0.00095590495,0.0000780762,0.00014944882,0.0009423248,0.00091647235,0.000018022503],"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":[0.000014449728,0.00019988454,0.000016154676,0.00001767966,0.000008544421,2.2740058e-7,0.0016669376,0.9235876,0.0038497201,0.061430495,0.00012660396,0.009081691],"study_design_scores_gemma":[0.00031151902,0.000040268536,0.00023069234,0.000022593165,0.000007769957,0.0000013637673,0.0018719806,0.95704705,0.0019095506,0.03353764,0.0046916427,0.00032795474],"about_ca_topic_score_codex":0.000029577675,"about_ca_topic_score_gemma":0.0000066433226,"teacher_disagreement_score":0.50435024,"about_ca_system_score_codex":0.00035062456,"about_ca_system_score_gemma":0.000009466199,"threshold_uncertainty_score":0.88180834},"labels":[],"label_agreement":null},{"id":"W4360999414","doi":"10.1016/j.phycom.2023.102061","title":"An efficient hybrid energy harvesting protocol for cooperative NOMA systems: Error and outage performance","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Zonguldak Bülent Ecevit Üniversitesi; Carleton University","keywords":"Computer science; Benchmark (surveying); Correctness; Fading; Energy harvesting; Energy (signal processing); Protocol (science); Noma; Bit error rate; Nakagami distribution; Power (physics); Wireless; Channel (broadcasting); Algorithm; Topology (electrical circuits); Computer network; Telecommunications; Mathematics; Statistics","score_opus":0.039453091882009926,"score_gpt":0.3197071342233554,"score_spread":0.2802540423413455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360999414","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":[0.80857897,0.0001201566,0.13519894,0.00025679587,0.000054695956,0.048637293,0.000055365705,0.0058779554,0.001219812],"genre_scores_gemma":[0.85977787,0.000020359032,0.0018095974,0.0000062925346,0.000018185992,0.13823785,0.00006819079,0.000034244094,0.000027409853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992815,0.000071157796,0.00020652368,0.00015587642,0.00009391527,0.00019101876],"domain_scores_gemma":[0.9985045,0.00027956255,0.00006816198,0.0010085627,0.00009845878,0.000040743722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014112108,0.00014701372,0.00017788696,0.00007935403,0.0002849641,0.00006869245,0.00052809773,0.000036649442,4.9359903e-7],"category_scores_gemma":[0.000060563754,0.00014425172,0.000023122586,0.00025231947,0.00011889283,0.00027593804,0.00017973527,0.00016309232,0.000008361035],"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":[0.000018775303,0.000091845504,0.000053003485,0.00022879682,0.000016774937,1.7851963e-7,0.00049571675,0.93300456,0.00947786,0.017599177,0.00010375394,0.038909588],"study_design_scores_gemma":[0.00031690244,0.00008109109,0.00044798016,0.00008740202,0.0000032477499,0.0000010638274,0.0002909726,0.98086035,0.0138894785,0.000255378,0.0035980598,0.00016805893],"about_ca_topic_score_codex":0.00000988822,"about_ca_topic_score_gemma":0.000003949586,"teacher_disagreement_score":0.13338934,"about_ca_system_score_codex":0.00005833673,"about_ca_system_score_gemma":0.000009187441,"threshold_uncertainty_score":0.58824146},"labels":[],"label_agreement":null},{"id":"W4380148762","doi":"10.1016/j.phycom.2023.102122","title":"Pilot design and doubly-selective channel estimation for faster-than-Nyquist signaling","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":4,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Channel (broadcasting); Nyquist–Shannon sampling theorem; Nyquist rate; Intersymbol interference; Mean squared error; Bit error rate; Equalization (audio); Frame (networking); Algorithm; Spectral efficiency; Minimum mean square error; Transmission (telecommunications); Control theory (sociology); Telecommunications; Mathematics; Sampling (signal processing); Statistics; Artificial intelligence","score_opus":0.06587276200331157,"score_gpt":0.3017703881236115,"score_spread":0.23589762612029994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380148762","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":[0.30876154,0.00018281798,0.687292,0.0004403606,0.00020640776,0.0009697562,0.000011228904,0.0012345924,0.0009013507],"genre_scores_gemma":[0.99202704,0.00003879938,0.00734524,0.00000968747,0.000093513874,0.00034505062,0.00006904328,0.000033462387,0.00003813797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944025,0.000063164436,0.00012954365,0.00012282214,0.00008925474,0.000154988],"domain_scores_gemma":[0.99911046,0.0004686694,0.000036571782,0.00028099635,0.000062367566,0.000040956016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019330825,0.00010722071,0.00012128373,0.00007846449,0.00016732376,0.000045096334,0.00015537596,0.000023797387,9.561929e-7],"category_scores_gemma":[0.00006528717,0.00011964879,0.000030289908,0.00027178085,0.00004766951,0.0002046637,0.000044089033,0.00012379936,0.00003891661],"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":[0.000066224784,0.0000818345,0.000006880774,0.000115422146,0.000064590815,1.2101472e-7,0.0025771516,0.87783945,0.10418907,0.0028888658,0.0023242326,0.00984618],"study_design_scores_gemma":[0.00030446335,0.00009633044,0.00030328147,0.00003460566,0.000018231498,0.0000010046591,0.000075328244,0.94496274,0.031847883,0.022106031,0.00011479416,0.00013531798],"about_ca_topic_score_codex":0.000009341132,"about_ca_topic_score_gemma":0.0000014200651,"teacher_disagreement_score":0.68326557,"about_ca_system_score_codex":0.000059751652,"about_ca_system_score_gemma":0.000007249133,"threshold_uncertainty_score":0.4879136},"labels":[],"label_agreement":null},{"id":"W4386753104","doi":"10.1016/j.phycom.2023.102179","title":"Secure precoding design for high-mobility systems with OTFS modulation","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"PAPR reduction in OFDM","field":"Engineering","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":"Western University","funders":"Guangzhou Municipal Science and Technology Project; National Natural Science Foundation of China","keywords":"Precoding; Computer science; Telecommunications link; Eavesdropping; Maximization; Zero-forcing precoding; Artificial noise; Control theory (sociology); Algorithm; Mathematical optimization; Computer network; Mathematics; MIMO; Telecommunications; Wireless; Channel (broadcasting); Physical layer; Artificial intelligence","score_opus":0.046058030159169906,"score_gpt":0.2730773790318172,"score_spread":0.22701934887264733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386753104","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":[0.7739972,0.00008559253,0.22222647,0.00023484549,0.00022495977,0.0011335614,0.000017629645,0.0014752616,0.0006045119],"genre_scores_gemma":[0.9962668,0.000022834927,0.0028768997,0.0000022784793,0.000109713306,0.00053175865,0.00011500164,0.000031460695,0.000043261465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994094,0.00008402764,0.00013441396,0.00011930805,0.000115137685,0.0001377543],"domain_scores_gemma":[0.9989796,0.00032555943,0.000039716353,0.0005495249,0.00007343176,0.000032158703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022523709,0.000095985444,0.00012681594,0.000047370067,0.00012331572,0.000039282975,0.00018941065,0.00004117267,0.0000014256537],"category_scores_gemma":[0.000028967097,0.00009157901,0.000027629332,0.00028513896,0.0000308526,0.00020426704,0.000027246777,0.00012189993,0.00003487331],"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":[0.000018629686,0.00003684738,0.000039324615,0.0001177857,0.00003334899,4.2011962e-8,0.0005345273,0.9805688,0.007869561,0.0077597527,0.0011348651,0.001886512],"study_design_scores_gemma":[0.00021119324,0.000037063084,0.0026237397,0.000043921176,0.000015659794,6.476273e-7,0.0000914665,0.98725635,0.0035084388,0.0056059635,0.00047990895,0.00012563783],"about_ca_topic_score_codex":0.000017408847,"about_ca_topic_score_gemma":0.0000021233484,"teacher_disagreement_score":0.22226962,"about_ca_system_score_codex":0.00009990669,"about_ca_system_score_gemma":0.000008263812,"threshold_uncertainty_score":0.37344837},"labels":[],"label_agreement":null},{"id":"W4386812617","doi":"10.1016/j.phycom.2023.102194","title":"Neural layered min-sum decoders for cyclic codes","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"Coding theory and cryptography","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":"McGill University","funders":"National University's Basic Research Foundation of China; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"BCH code; Computer science; Decoding methods; Berlekamp–Welch algorithm; Algorithm; Artificial neural network; Quadratic equation; Binary number; Binary code; Block code; Linear code; Arithmetic; Mathematics; Artificial intelligence","score_opus":0.040927238321110476,"score_gpt":0.3116940082888786,"score_spread":0.27076676996776816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386812617","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":[0.78432035,0.00013194935,0.20427442,0.0073562907,0.00017551659,0.0004419079,0.000010649972,0.0011722987,0.0021166205],"genre_scores_gemma":[0.99480647,0.000020027193,0.0047691525,0.00019101964,0.00003868092,0.000095599076,0.00003149857,0.000008266383,0.0000393019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926394,0.00013798021,0.000110780864,0.0001853728,0.00010916069,0.00019274457],"domain_scores_gemma":[0.99812716,0.00072808715,0.000055351353,0.0009934448,0.000048287435,0.000047669568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002487385,0.000086808155,0.000114215014,0.00007339382,0.00027141912,0.00009581513,0.0012348654,0.000024497967,0.0000012322192],"category_scores_gemma":[0.00005082977,0.000084555366,0.00012465606,0.00056148024,0.00006622089,0.0002744115,0.00031389514,0.00009806874,0.00005592276],"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":[0.000029603894,0.00017065874,0.0001852673,0.000020292338,0.000029622239,3.6822107e-7,0.0021530946,0.00047968465,0.009146371,0.89077413,0.003119932,0.09389095],"study_design_scores_gemma":[0.00034229303,0.000092753864,0.003782246,0.000014879971,0.0000105194085,7.580795e-7,0.00008269421,0.5410086,0.0033044291,0.44515902,0.0060059484,0.0001958658],"about_ca_topic_score_codex":0.000007434781,"about_ca_topic_score_gemma":0.000009299025,"teacher_disagreement_score":0.5405289,"about_ca_system_score_codex":0.000011946945,"about_ca_system_score_gemma":0.000009400294,"threshold_uncertainty_score":0.34480676},"labels":[],"label_agreement":null},{"id":"W4388573723","doi":"10.1016/j.phycom.2023.102227","title":"DGT-based pulse shaping filter for Generalized Frequency Division Multiplexing system","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":2,"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":"Institut de Cardiologie de Montréal; European Commission","keywords":"Computer science; Nakagami distribution; Pulse shaping; Electronic engineering; Orthogonal frequency-division multiplexing; Additive white Gaussian noise; Modulation (music); Communications system; QAM; Fading; Telecommunications; Quadrature amplitude modulation; Bit error rate; Power (physics); Channel (broadcasting); Physics; Acoustics","score_opus":0.06881917004974515,"score_gpt":0.305117784175563,"score_spread":0.23629861412581787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388573723","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":[0.86500996,0.000297396,0.12563793,0.0006559031,0.0005493127,0.0009720499,0.000075516095,0.0039463323,0.0028556066],"genre_scores_gemma":[0.9922105,0.000013381104,0.0068293707,0.000019464946,0.00013586278,0.00038607465,0.00033108596,0.00005126073,0.00002300629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991876,0.000079412624,0.00021940134,0.00014928267,0.00014511186,0.00021918483],"domain_scores_gemma":[0.99884593,0.00030114618,0.00004772423,0.0006866754,0.000065990185,0.000052543837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018773186,0.00013842921,0.00017649727,0.00009746215,0.00020151131,0.000046959678,0.0003418015,0.000050625353,0.000006380471],"category_scores_gemma":[0.000068687106,0.0001410552,0.00011290689,0.00026963314,0.000031354568,0.00017085829,0.000059346014,0.00014560246,0.00012093731],"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":[0.000018871555,0.00007990961,0.00011515389,0.0006877713,0.00006828487,6.648408e-7,0.00089551107,0.53030443,0.43180588,0.020154463,0.0024240706,0.013444964],"study_design_scores_gemma":[0.00046634272,0.000013002465,0.0010382073,0.00012658465,0.000011920404,3.3673237e-7,0.000058730373,0.9788046,0.017170485,0.0014530317,0.00068814465,0.00016863045],"about_ca_topic_score_codex":0.00002851389,"about_ca_topic_score_gemma":0.0000023787559,"teacher_disagreement_score":0.44850013,"about_ca_system_score_codex":0.00014899453,"about_ca_system_score_gemma":0.000008885131,"threshold_uncertainty_score":0.57520646},"labels":[],"label_agreement":null},{"id":"W4388822052","doi":"10.1016/j.phycom.2023.102236","title":"On the performance of intelligent reflecting surfaces-assisted OAM with NOMA under imperfect SIC","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","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":"Polytechnique Montréal","funders":"Ministry of Science and ICT, South Korea; Ministry of Education, Science and Technology; National Research Foundation of Korea","keywords":"Computer science; Noma; Single antenna interference cancellation; Non-line-of-sight propagation; Imperfect; Interference (communication); Transmitter; Channel state information; Throughput; Spectral efficiency; Channel (broadcasting); Enhanced Data Rates for GSM Evolution; Telecommunications; Topology (electrical circuits); Computer network; Wireless; Telecommunications link; Electrical engineering; Engineering","score_opus":0.05001536753637455,"score_gpt":0.3015022311742218,"score_spread":0.2514868636378473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388822052","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":[0.9954588,0.0001099861,0.0015931223,0.0006124771,0.000014001169,0.00018452274,0.0000018001263,0.00085701165,0.0011682898],"genre_scores_gemma":[0.99871373,0.00052628556,0.00058181473,0.00001699497,0.000005402938,0.00008194895,0.000020683601,0.000032405755,0.000020738296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930894,0.000090123336,0.00018070315,0.00010320879,0.00015828406,0.00015871944],"domain_scores_gemma":[0.99719745,0.001057471,0.00008561488,0.0015819976,0.000061034134,0.000016460212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017982064,0.00013031035,0.00015785782,0.00007474246,0.0001825452,0.00001599534,0.0008172877,0.000039633782,0.000003997169],"category_scores_gemma":[0.000053634383,0.00009147856,0.000039977374,0.00074897654,0.00015705063,0.000115745264,0.00020313404,0.00040987507,0.00005678317],"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":[0.000041983356,0.0001417707,0.00040998688,0.00008200615,0.000092177455,1.5953626e-7,0.001089227,0.85519046,0.07227399,0.03428651,0.00015986104,0.036231887],"study_design_scores_gemma":[0.00019633237,0.00026083906,0.014581128,0.00023128853,0.000015338426,0.0000013514043,0.001165317,0.68095845,0.29646942,0.005661013,0.00019481799,0.00026471264],"about_ca_topic_score_codex":0.000009598737,"about_ca_topic_score_gemma":0.000015020022,"teacher_disagreement_score":0.22419542,"about_ca_system_score_codex":0.00008059336,"about_ca_system_score_gemma":0.000009036577,"threshold_uncertainty_score":0.37303874},"labels":[],"label_agreement":null},{"id":"W4390414012","doi":"10.1016/j.phycom.2023.102267","title":"A multi-user cognitive radio full-duplex channel under imperfect spectrum sensing: Achievable rates and energy efficiency","year":2023,"lang":"en","type":"article","venue":"Physical Communication","topic":"Full-Duplex Wireless Communications","field":"Engineering","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":"Air Force Research Laboratory; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; McGill University; National Science Foundation","keywords":"Cognitive radio; Computer science; Channel (broadcasting); False alarm; Telecommunications link; Energy (signal processing); Gaussian; Interference (communication); Efficient energy use; Transmitter power output; Imperfect; Algorithm; Telecommunications; Transmitter; Wireless; Statistics; Electrical engineering; Mathematics; Physics; Artificial intelligence","score_opus":0.024172971630468443,"score_gpt":0.26658861351062596,"score_spread":0.24241564188015752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390414012","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":[0.9856016,0.0009932524,0.010708356,0.0010099696,0.000064194406,0.00020561843,0.000023558852,0.0010510533,0.0003423837],"genre_scores_gemma":[0.99710554,0.0013798829,0.0007036022,0.000055132667,0.00006124431,0.00006798385,0.0002785814,0.00008461328,0.00026342817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862975,0.0002397901,0.00025904662,0.00027467636,0.00018108783,0.00041562808],"domain_scores_gemma":[0.9976852,0.00095164205,0.000066571076,0.001096622,0.00008301711,0.00011693191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020387257,0.0002808175,0.0003070287,0.00017498674,0.0004277613,0.000102598715,0.0004994575,0.00009356275,0.000007636211],"category_scores_gemma":[0.000086921435,0.00029506936,0.00008947762,0.00085275155,0.00022891717,0.00025640157,0.00038929252,0.00040938845,0.00012654986],"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":[0.000076111886,0.00065247493,0.00011115841,0.00013626643,0.0003453291,0.0000039139863,0.006786337,0.73451346,0.23162673,0.016778635,0.000964076,0.008005493],"study_design_scores_gemma":[0.00062231655,0.000052678344,0.003928749,0.00007567788,0.000042403557,0.000006829135,0.00061000045,0.98607033,0.0076319114,0.00019391045,0.00042883024,0.00033633094],"about_ca_topic_score_codex":0.00019664403,"about_ca_topic_score_gemma":0.00022380783,"teacher_disagreement_score":0.2515569,"about_ca_system_score_codex":0.000095201176,"about_ca_system_score_gemma":0.000023086594,"threshold_uncertainty_score":0.9999502},"labels":[],"label_agreement":null},{"id":"W4392123452","doi":"10.1016/j.phycom.2024.102333","title":"Enhancing security for physical layer communication in RIS-aided MIMO-NOMA systems in the presence of an eavesdropper","year":2024,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"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 Toronto; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science Research and Technology","keywords":"Noma; Computer science; Physical layer; MIMO; Computer network; Computer security; Telecommunications; Wireless; Telecommunications link; Channel (broadcasting)","score_opus":0.023688271747098158,"score_gpt":0.30836016876938827,"score_spread":0.2846718970222901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392123452","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":[0.98915654,0.0046998635,0.0037888857,0.0004878858,0.00003733417,0.00083933864,0.000018390696,0.00039416566,0.0005775963],"genre_scores_gemma":[0.9970133,0.00044641236,0.0016348412,0.000009496786,0.000027784718,0.0007529621,0.00007399934,0.00003759488,0.0000036370939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849004,0.00043951254,0.00042483484,0.00019717844,0.00019601863,0.00025244747],"domain_scores_gemma":[0.9954591,0.0019363733,0.0000809342,0.002424446,0.000072563846,0.000026621325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066281145,0.00018340067,0.00031321117,0.00015746892,0.00008772739,0.0000718435,0.0017789763,0.00009306572,7.769821e-7],"category_scores_gemma":[0.00018067712,0.00015971415,0.000079323596,0.0006581467,0.00018814826,0.0005125555,0.00023824167,0.0006884941,0.000006231382],"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":[0.00011980328,0.0027704171,0.0004339116,0.0021221552,0.000117551404,0.000002398697,0.0754645,0.2616696,0.1942299,0.42170796,0.0003306242,0.041031167],"study_design_scores_gemma":[0.00025470156,0.0000789323,0.0014993642,0.0004701939,0.000012255393,0.0000016205147,0.0032168638,0.9251559,0.027962184,0.04051765,0.0006176662,0.00021271213],"about_ca_topic_score_codex":0.00020537201,"about_ca_topic_score_gemma":0.0003567815,"teacher_disagreement_score":0.66348624,"about_ca_system_score_codex":0.00014613815,"about_ca_system_score_gemma":0.000021961177,"threshold_uncertainty_score":0.6512954},"labels":[],"label_agreement":null},{"id":"W4401830393","doi":"10.1016/j.phycom.2024.102475","title":"An experimental analysis of outdoor UAV localisation through diverse estimators and crowd-sensed data fusion","year":2024,"lang":"en","type":"article","venue":"Physical Communication","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Estimator; Sensor fusion; Artificial intelligence; Fusion; Computer vision; Data mining; Statistics; Mathematics","score_opus":0.050670243504041305,"score_gpt":0.33212481073095357,"score_spread":0.28145456722691226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401830393","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":[0.9072077,0.0005025437,0.091729954,0.00005717766,0.000044896617,0.000097522054,0.000056901496,0.00016310447,0.00014019413],"genre_scores_gemma":[0.99554306,0.000102839906,0.002615582,0.000012463592,0.000023023957,0.0000037534735,0.0016796426,0.000017914339,0.0000017322427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993654,0.00006826491,0.00017331712,0.00017142079,0.00014275315,0.00007885097],"domain_scores_gemma":[0.99895203,0.00009183028,0.000027784065,0.0008599773,0.000031977066,0.000036425132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080945225,0.00009922916,0.000167964,0.000090411864,0.000067369736,0.00006287103,0.00022948085,0.000040458515,0.000010961763],"category_scores_gemma":[0.000012499177,0.000097575474,0.000039521623,0.00044525298,0.0000727537,0.0004529764,0.00009879975,0.000086322405,0.0000043983127],"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":[0.000024200357,0.0003289303,0.00072643836,0.00013044302,0.00044780507,0.0000015524787,0.008038355,0.7846533,0.18112862,0.016248211,0.0003556272,0.007916498],"study_design_scores_gemma":[0.00008898149,0.000027274129,0.00087983283,0.000024775334,0.0002680283,2.2783215e-7,0.00039904306,0.98250943,0.015280095,0.00027393913,0.00014762388,0.000100768164],"about_ca_topic_score_codex":0.00012696376,"about_ca_topic_score_gemma":0.000018774888,"teacher_disagreement_score":0.19785608,"about_ca_system_score_codex":0.000035988644,"about_ca_system_score_gemma":0.000006626804,"threshold_uncertainty_score":0.39790124},"labels":[],"label_agreement":null},{"id":"W4409316008","doi":"10.1016/j.phycom.2025.102680","title":"Capture effect-based optimal access class barring for IoT communications","year":2025,"lang":"en","type":"article","venue":"Physical Communication","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Class (philosophy); Computer network; Telecommunications; Artificial intelligence","score_opus":0.026840851414993466,"score_gpt":0.35330182039695873,"score_spread":0.32646096898196525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409316008","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":[0.034845144,0.0005945317,0.9402319,0.011933689,0.0009417769,0.00084319233,0.0000014480739,0.00051725784,0.010091027],"genre_scores_gemma":[0.9466865,0.0000050160656,0.052254587,0.0005920522,0.00016138566,0.00019061279,0.0000418686,0.000011839691,0.00005615892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878097,0.00029628797,0.00022793889,0.00028237505,0.00014114266,0.00027128943],"domain_scores_gemma":[0.994747,0.0018562576,0.000117024814,0.0030492404,0.00017182963,0.000058645128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041846276,0.00016881172,0.00023440343,0.00011393813,0.00073229667,0.0003632196,0.005147822,0.00006969423,3.052043e-7],"category_scores_gemma":[0.00014252681,0.00016514491,0.00014888035,0.00059122214,0.00011209565,0.00032799112,0.0018285539,0.00035562678,0.000011315009],"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":[0.00014301561,0.0014930002,0.0024552913,0.00050009135,0.00026147356,8.7479725e-7,0.0031509537,0.011556215,0.00926247,0.598951,0.032897186,0.33932844],"study_design_scores_gemma":[0.00054765295,0.00004861807,0.0010959348,0.000101984726,0.000032432836,2.9331295e-7,0.000007901195,0.96411103,0.006057062,0.006638912,0.021170463,0.00018773643],"about_ca_topic_score_codex":0.00005403121,"about_ca_topic_score_gemma":0.00000880244,"teacher_disagreement_score":0.9525548,"about_ca_system_score_codex":0.00008569446,"about_ca_system_score_gemma":0.000120708966,"threshold_uncertainty_score":0.956602},"labels":[],"label_agreement":null},{"id":"W4409359489","doi":"10.1016/j.phycom.2025.102672","title":"Moment based analysis over generalized fading accompanying hypergeometric and exponential functions with diversity","year":2025,"lang":"en","type":"article","venue":"Physical Communication","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Univerzita Hradec Králové","keywords":"Fading; Confluent hypergeometric function; Computer science; Exponential function; Moment (physics); Hypergeometric function; Diversity (politics); Applied mathematics; Diversity scheme; Mathematics; Telecommunications; Mathematical analysis; Physics; Law","score_opus":0.015437273333270402,"score_gpt":0.23962552775378082,"score_spread":0.2241882544205104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409359489","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":[0.888942,0.00034322415,0.10949615,0.000105951,0.000020968115,0.00009474945,0.0000043873947,0.0001280108,0.00086453446],"genre_scores_gemma":[0.99836576,0.00006151258,0.0014194247,0.000024592393,0.000012235535,0.000028702822,0.000033952136,0.000006446548,0.000047366102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949265,0.00005312069,0.00010675376,0.00011840779,0.0001291026,0.000099946265],"domain_scores_gemma":[0.9994181,0.0001316375,0.000029560215,0.00034406193,0.00004908992,0.000027553626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007708216,0.00009607093,0.00018704266,0.00037014653,0.00040394193,0.000039308743,0.00012944249,0.000017982042,0.000010552742],"category_scores_gemma":[0.000010574144,0.00009053768,0.000059679853,0.0015178652,0.00004551832,0.00013489013,0.0001811518,0.00010512364,0.00000373703],"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":[0.00011891012,0.0005414864,0.1536003,0.00016416535,0.006211581,8.259917e-7,0.0019971763,0.7840377,0.0192665,0.0025079965,0.0013844179,0.030168945],"study_design_scores_gemma":[0.0006988513,0.000009088434,0.2546378,0.000016518805,0.0006928058,8.337659e-8,0.00009707153,0.74196076,0.0011631552,0.00013971556,0.00043952125,0.00014462856],"about_ca_topic_score_codex":0.00006434622,"about_ca_topic_score_gemma":0.000021492164,"teacher_disagreement_score":0.10942374,"about_ca_system_score_codex":0.00009440372,"about_ca_system_score_gemma":0.000004653817,"threshold_uncertainty_score":0.36920196},"labels":[],"label_agreement":null},{"id":"W4414478919","doi":"10.1016/j.phycom.2025.102857","title":"A survey of domain generalization in AI-enabled semantic communication: Architecture, challenges and future opportunities","year":2025,"lang":"en","type":"article","venue":"Physical Communication","topic":"Topic Modeling","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":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalization; Domain (mathematical analysis); Semantics (computer science); Domain knowledge; Semantic Web","score_opus":0.06782133331123338,"score_gpt":0.2978231013388399,"score_spread":0.2300017680276065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414478919","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":[0.5634601,0.03890493,0.32605007,0.06196053,0.00011175048,0.0007422977,0.000006815941,0.00019555545,0.00856792],"genre_scores_gemma":[0.9845598,0.005208988,0.009923211,0.00020558135,0.000014972118,0.000028284983,0.000033258882,0.000005110746,0.000020826756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841136,0.0008950724,0.00026267918,0.00018670927,0.00013060769,0.000113551585],"domain_scores_gemma":[0.99793154,0.0003098252,0.00009485987,0.0014935599,0.00014377252,0.000026454718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006431678,0.000102860075,0.0002171288,0.00014340018,0.00009198449,0.00005100589,0.0009548823,0.000050859446,6.610426e-7],"category_scores_gemma":[0.000038035465,0.000101557205,0.000024364384,0.0003081992,0.00008740126,0.0002529799,0.0005660123,0.00020202523,4.2735596e-7],"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":[0.000008177974,0.00013849145,0.00050251384,0.00007987001,0.000014716652,2.0497694e-7,0.0050300593,0.0005789887,0.00016002556,0.85321736,0.000022666374,0.14024691],"study_design_scores_gemma":[0.0008607034,0.000049355174,0.17191301,0.00029947306,0.0000143228435,0.0000019409795,0.0006918549,0.4271432,0.00037339397,0.39603308,0.0023179655,0.0003017065],"about_ca_topic_score_codex":0.00043177346,"about_ca_topic_score_gemma":0.000875976,"teacher_disagreement_score":0.45718428,"about_ca_system_score_codex":0.000026878317,"about_ca_system_score_gemma":0.000056006236,"threshold_uncertainty_score":0.41413826},"labels":[],"label_agreement":null},{"id":"W4417302597","doi":"10.1016/j.phycom.2025.102961","title":"Sum rate maximization in RIS-assisted multi-user MISO systems: A proximal policy optimization-based approach","year":2025,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"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); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximization; Beamforming; Reinforcement learning; Base station; Channel (broadcasting); Wireless; Optimization problem; Channel state information; Frequency band","score_opus":0.018748384337327555,"score_gpt":0.2761044283484599,"score_spread":0.2573560440111323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417302597","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":[0.0062382445,0.0009915918,0.9865245,0.00072092033,0.000034933826,0.0008303285,0.0000115317225,0.0013551187,0.0032927985],"genre_scores_gemma":[0.9383179,0.00032669894,0.06014404,0.000044982717,0.000011725188,0.00069841556,0.00030637262,0.000042440133,0.00010741877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986254,0.00031013135,0.00042514215,0.00022641757,0.00012323196,0.00028965028],"domain_scores_gemma":[0.99765,0.00029826726,0.00011630367,0.0017464285,0.00015005238,0.000038909217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022609421,0.00023179599,0.0003107605,0.0004598483,0.00015668449,0.00008073904,0.0009937909,0.00014945687,0.0000016570003],"category_scores_gemma":[0.0002926955,0.00025318368,0.000059115897,0.0016110044,0.00013757445,0.00030558923,0.00020269823,0.00045635932,0.0000073436386],"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":[0.0000138334,0.00033785743,0.00043892677,0.00012831716,0.000019812356,9.98473e-8,0.00011742869,0.9800543,0.0009731434,0.015382002,0.000040893,0.0024933862],"study_design_scores_gemma":[0.0008365175,0.0000090696185,0.0024948528,0.00015465719,0.000010420039,2.3145478e-7,0.00021199799,0.99359447,0.001643683,0.00032349772,0.00050456286,0.00021601697],"about_ca_topic_score_codex":0.00013217113,"about_ca_topic_score_gemma":0.000027747226,"teacher_disagreement_score":0.9320797,"about_ca_system_score_codex":0.00046365077,"about_ca_system_score_gemma":0.00008151862,"threshold_uncertainty_score":0.999992},"labels":[],"label_agreement":null},{"id":"W72831219","doi":"10.1016/j.phycom.2009.09.003","title":"Multi-user cooperation schemes with iterative decoding","year":2009,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Decoding methods; Relay; Bandwidth (computing); Transmission (telecommunications); Computer network; Telecommunications; Power (physics); Computer engineering","score_opus":0.04079098655625182,"score_gpt":0.31463915645428925,"score_spread":0.27384816989803745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W72831219","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":[0.05885526,0.0005643776,0.92950743,0.0065532676,0.000025907359,0.00034642548,8.039133e-7,0.00036820196,0.0037783156],"genre_scores_gemma":[0.8817542,0.00024316827,0.11692716,0.00077784917,0.00003080405,0.000029086537,0.000022069622,0.0000071039294,0.00020854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988888,0.00029926482,0.00018677826,0.0002660107,0.00017293125,0.000186232],"domain_scores_gemma":[0.99791396,0.00016047097,0.000106544576,0.0014404707,0.00030583597,0.000072739946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019728886,0.00016320792,0.00017195432,0.0000649164,0.0005314095,0.00031426674,0.0012601108,0.000032608925,0.000006806874],"category_scores_gemma":[0.00004899709,0.00013513032,0.00004385952,0.00056810933,0.00006301443,0.0011692627,0.00024536098,0.00027943426,0.000046427576],"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":[0.00001829984,0.000542958,0.0001588034,0.0000029693852,0.000022772663,7.94336e-7,0.0040908325,0.00041906722,0.024456529,0.82235134,0.0003510318,0.14758457],"study_design_scores_gemma":[0.0014289813,0.00038749044,0.008507627,0.00015575187,0.00001748733,0.000007785308,0.00007879537,0.9455739,0.020290961,0.0025618416,0.020356955,0.000632426],"about_ca_topic_score_codex":0.0000019590864,"about_ca_topic_score_gemma":0.000019487705,"teacher_disagreement_score":0.94515485,"about_ca_system_score_codex":0.00006162733,"about_ca_system_score_gemma":0.000039968974,"threshold_uncertainty_score":0.5510455},"labels":[],"label_agreement":null}]}