{"meta":{"query_hash":"cd49e8da13f2","filters":{"venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/cd49e8da13f2","api":"https://metacan.xera.ac/api/v1/cohort?venue=2018+52nd+Asilomar+Conference+on+Signals%2C+Systems%2C+and+Computers"},"results":[{"id":"W2898132586","doi":"10.1109/acssc.2018.8645388","title":"Learning from the Syndrome","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Code word; Inference; Decoding methods; Function (biology); Algorithm; Relaxation (psychology); Block code; Block (permutation group theory); Machine learning; Artificial intelligence; Mathematics; Medicine","score_opus":0.04598265160560145,"score_gpt":0.2577555843162757,"score_spread":0.21177293271067427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898132586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01502518,0.00021367116,0.98230225,0.00028812326,0.00006246084,0.00002368382,0.000114807044,0.0004373911,0.001532368],"genre_scores_gemma":[0.6907377,0.00076930644,0.29559505,0.0007258656,0.00026726138,0.00019257423,0.0011325055,0.00029634908,0.010283312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898106,0.0003535067,0.0000625238,0.00021759963,0.0003026877,0.000082557875],"domain_scores_gemma":[0.9952362,0.0031056346,0.00028641388,0.00057640806,0.0006578049,0.00013763484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015691663,0.0009912513,0.0009111063,0.0007027907,0.000314752,0.0010069214,0.001141433,0.0012795969,0.0032545635],"category_scores_gemma":[0.013750674,0.00039105225,0.00039475452,0.00047533773,0.0010497121,0.002055525,0.0017591144,0.0017560506,0.00086582336],"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":[0.00039585633,0.00008899037,0.002250338,0.00023406942,0.00012263432,0.00027493446,0.00012969601,0.5891438,0.010569894,0.091377735,0.0057330425,0.29967898],"study_design_scores_gemma":[0.000018327253,0.000062209605,0.0001761929,0.00002386921,0.000012329331,0.00009876837,0.00001137813,0.96590614,0.003994174,0.028489066,0.0011968834,0.00001064888],"about_ca_topic_score_codex":0.0014118677,"about_ca_topic_score_gemma":0.0016016755,"teacher_disagreement_score":0.0032545635,"about_ca_system_score_codex":0.0006672337,"about_ca_system_score_gemma":0.0013968571,"threshold_uncertainty_score":0.010887623},"labels":[],"label_agreement":null},{"id":"W2918504904","doi":"10.1109/acssc.2018.8645239","title":"Widely Linear Multiuser Precoding for One-dimensional Signalling","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Precoding; Zero-forcing precoding; Computer science; Transmission (telecommunications); Signal-to-noise ratio (imaging); Electronic engineering; Control theory (sociology); Mathematics; Algorithm; Telecommunications; MIMO; Engineering; Channel (broadcasting); Artificial intelligence","score_opus":0.05397238420143019,"score_gpt":0.2606182221934885,"score_spread":0.20664583799205832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918504904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03302279,0.00087052013,0.9620076,0.00026337907,0.000039601447,0.00001784041,0.000037477454,0.00004986342,0.003690886],"genre_scores_gemma":[0.8887126,0.0018709148,0.10535834,0.00022100094,0.00011520838,0.00006734686,0.00006153061,0.000019599765,0.0035735564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995172,0.00021311299,0.000015966745,0.00007475335,0.00013890225,0.000039998966],"domain_scores_gemma":[0.9990176,0.0006140149,0.00013147411,0.00009075344,0.00012401969,0.000022180568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053981063,0.00055640907,0.00041207037,0.00016743419,0.00016931273,0.00057905924,0.00039104218,0.0005791409,0.00094711134],"category_scores_gemma":[0.0022638459,0.00021000099,0.00026050987,0.0004367526,0.0007949349,0.0008470474,0.0005537107,0.00076188426,0.000330786],"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":[0.00013898096,0.00004681841,0.00074801204,0.00034926715,0.00008372065,0.000393893,0.0002891735,0.6077504,0.057560593,0.27189547,0.0010785605,0.059665073],"study_design_scores_gemma":[0.000011770218,0.000104823004,0.00016082574,0.000022971879,0.000013925869,0.00015140316,0.000031658412,0.96227354,0.004421612,0.031389147,0.0014018095,0.000016473266],"about_ca_topic_score_codex":0.0003911902,"about_ca_topic_score_gemma":0.00046253658,"teacher_disagreement_score":0.00094711134,"about_ca_system_score_codex":0.00040101822,"about_ca_system_score_gemma":0.00038313982,"threshold_uncertainty_score":0.003168404},"labels":[],"label_agreement":null},{"id":"W2918572158","doi":"10.1109/acssc.2018.8645203","title":"Delay-aware Conflict-free Scheduling for LTE-V, Sidelink 5G V2X Vehicular Communication, in Highways","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Reuse; Computer network; Vehicular ad hoc network; Distributed computing; Real-time computing; Wireless; Wireless ad hoc network; Telecommunications; Engineering","score_opus":0.03455809287916602,"score_gpt":0.24671733640893084,"score_spread":0.2121592435297648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918572158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05857407,0.0021533044,0.930143,0.0003723283,0.00044561457,0.0001625988,0.0003541476,0.00085724733,0.006937756],"genre_scores_gemma":[0.909204,0.0005515676,0.087016985,0.00016490518,0.0001675874,0.000073253184,0.00024580717,0.00007159026,0.0025042912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994885,0.00010673746,0.000041229287,0.000088700195,0.00014345272,0.00013139492],"domain_scores_gemma":[0.99933285,0.00018732056,0.00007208406,0.000107009255,0.00020320641,0.00009751801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065012067,0.00054544036,0.00048548728,0.0003425528,0.00090928725,0.0008830673,0.0008914656,0.00025753627,0.0014385668],"category_scores_gemma":[0.0015732123,0.00019017328,0.0002523486,0.0004887343,0.00034533138,0.000581862,0.00064567104,0.00059261447,0.00044214472],"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":[0.001062858,0.00029599658,0.0033620147,0.00033110788,0.00012557236,0.00039061098,0.0004331232,0.6151789,0.045891643,0.061040744,0.019044502,0.25284296],"study_design_scores_gemma":[0.0000408127,0.00022217484,0.00039696004,0.000012384651,0.000029260606,0.00013172014,0.000069427384,0.979683,0.0048871227,0.0081770215,0.006325682,0.000024428178],"about_ca_topic_score_codex":0.006944861,"about_ca_topic_score_gemma":0.013169985,"teacher_disagreement_score":0.006944861,"about_ca_system_score_codex":0.0011588698,"about_ca_system_score_gemma":0.0026798628,"threshold_uncertainty_score":0.013808906},"labels":[],"label_agreement":null},{"id":"W2918582631","doi":"10.1109/acssc.2018.8645076","title":"Kernel K-Mace Clustering","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kernel (algebra); Cluster analysis; Variable kernel density estimation; Initialization; Mathematics; Kernel method; Computer science; Gaussian function; Kernel embedding of distributions; Algorithm; Pattern recognition (psychology); Artificial intelligence; Gaussian; Discrete mathematics","score_opus":0.05666554003204609,"score_gpt":0.3049090948370821,"score_spread":0.24824355480503602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918582631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028743905,0.00020214848,0.9954052,0.000068589434,0.000032762047,0.000051508032,0.00008022199,0.0005483658,0.00073678873],"genre_scores_gemma":[0.12192122,0.00038435083,0.8708016,0.00018764145,0.00007753966,0.00034036435,0.0012242622,0.00045023338,0.004612714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996926,0.000720453,0.00021500539,0.0007870081,0.0011258142,0.00022569449],"domain_scores_gemma":[0.995933,0.00092876,0.00033665376,0.00080642063,0.001880696,0.00011446293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021276341,0.0012715723,0.0021235733,0.0032752715,0.0012707852,0.0023072613,0.0038235353,0.0021556087,0.0023264284],"category_scores_gemma":[0.009176969,0.0007859403,0.0024166105,0.0028588644,0.0009630307,0.0026700662,0.0023989722,0.0018862357,0.0022896826],"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":[0.00029236535,0.00021402864,0.0031174012,0.00046656444,0.000495221,0.00016124143,0.00049622066,0.5179336,0.012022764,0.04718503,0.014546231,0.40306935],"study_design_scores_gemma":[0.000012254307,0.000027046786,0.0006077466,0.0000162801,0.000019695844,0.00008531978,0.00003710396,0.98132175,0.0030646098,0.009978327,0.00479491,0.00003496758],"about_ca_topic_score_codex":0.0067436546,"about_ca_topic_score_gemma":0.006548903,"teacher_disagreement_score":0.0067436546,"about_ca_system_score_codex":0.0011332721,"about_ca_system_score_gemma":0.002244687,"threshold_uncertainty_score":0.01340884},"labels":[],"label_agreement":null},{"id":"W2919020707","doi":"10.1109/acssc.2018.8645143","title":"A Least Squares Approach to Estimation of Far-field Voltage in Unipolar Electrograms in Atrial Fibrillation","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Atrial fibrillation; Ablation; Cardiology; Catheter ablation; Medicine; Intracardiac injection; Internal medicine; Field (mathematics); Cardiac Ablation; Biomedical engineering; Mathematics","score_opus":0.02291827623473749,"score_gpt":0.27135127721529867,"score_spread":0.24843300098056117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919020707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022116948,0.0003573324,0.9764889,0.00007078091,0.0000272752,0.000023974495,0.000049461974,0.0005588828,0.0003064451],"genre_scores_gemma":[0.270303,0.00045677784,0.7262223,0.00009985822,0.00007682734,0.00011591458,0.00035850954,0.00026454002,0.0021023797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995136,0.00018790575,0.00003397341,0.00011328391,0.00012312928,0.000028153718],"domain_scores_gemma":[0.9990004,0.00066417555,0.000076331155,0.000056746245,0.00017687035,0.000025559128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006535533,0.00091884343,0.00069278624,0.0007614078,0.00030293298,0.00045586334,0.0005146766,0.0007748219,0.0010451453],"category_scores_gemma":[0.0034033435,0.00039339103,0.0005200893,0.0005821316,0.00032315662,0.00045353704,0.00046121946,0.0006980081,0.00074700394],"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":[0.0002205799,0.00015589423,0.0019397605,0.00018733212,0.00013497815,0.00019139418,0.00018929502,0.27627766,0.055802856,0.0013387244,0.0017333892,0.66182816],"study_design_scores_gemma":[0.0000197798,0.00007808893,0.0026210293,0.000012276206,0.000018843333,0.00021825105,0.000033777877,0.98468935,0.009747925,0.0013418024,0.0011857711,0.000033162545],"about_ca_topic_score_codex":0.0023390695,"about_ca_topic_score_gemma":0.0028209074,"teacher_disagreement_score":0.0023390695,"about_ca_system_score_codex":0.00016360333,"about_ca_system_score_gemma":0.0004387462,"threshold_uncertainty_score":0.004650891},"labels":[],"label_agreement":null},{"id":"W2919038108","doi":"10.1109/acssc.2018.8645389","title":"Multiple Access Binary Computational Offloading in the K-user Case","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Time division multiple access; Energy consumption; Latency (audio); Computation offloading; Computer network; Efficient energy use; Distributed computing; Embedded system; Edge computing; Internet of Things; Telecommunications","score_opus":0.07215738157649956,"score_gpt":0.2991338217329639,"score_spread":0.22697644015646432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919038108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1330001,0.0010875914,0.8223913,0.0010608196,0.0002139042,0.00015634394,0.00029233083,0.0003546195,0.041443083],"genre_scores_gemma":[0.96818125,0.00039197423,0.021848047,0.00013251083,0.0000757721,0.00007472197,0.000051363248,0.000048566708,0.009195624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987204,0.00029957277,0.00004617047,0.00016168108,0.00029977626,0.00047237365],"domain_scores_gemma":[0.99756706,0.0014214169,0.00023613882,0.00025456786,0.0003558283,0.0001650196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081597216,0.001033115,0.0014820152,0.0005164522,0.0011538408,0.0019266751,0.0013390229,0.0013650949,0.0071325838],"category_scores_gemma":[0.0048051965,0.00041670972,0.0005696507,0.0013097647,0.0015598076,0.002124499,0.0016199658,0.0010518453,0.0010074769],"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":[0.00045362886,0.00015886223,0.0016329753,0.00023263326,0.00007478943,0.0022603103,0.00019159813,0.82145625,0.006018046,0.14081745,0.0031335903,0.023569781],"study_design_scores_gemma":[0.000016013217,0.000024091496,0.00024397283,0.000008246649,0.000008276549,0.0002333847,0.00006184037,0.9810906,0.0005569637,0.017263135,0.0004800176,0.000013545019],"about_ca_topic_score_codex":0.005286735,"about_ca_topic_score_gemma":0.005614177,"teacher_disagreement_score":0.0071325838,"about_ca_system_score_codex":0.0009826613,"about_ca_system_score_gemma":0.00085393945,"threshold_uncertainty_score":0.023860872},"labels":[],"label_agreement":null},{"id":"W2920754862","doi":"10.1109/acssc.2018.8645432","title":"Multi-Layer Linear Processing for Uplink Massive MIMO Systems in the Presence of Unequal-Power Co-Channel Interferers","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"MIMO; Telecommunications link; Channel (broadcasting); Computer science; Antenna (radio); Layer (electronics); Power (physics); Maximal-ratio combining; Range (aeronautics); Computational complexity theory; Physical layer; Algorithm; Computer engineering; Electronic engineering; Telecommunications; Wireless; Fading; Engineering; Materials science","score_opus":0.05531999690838995,"score_gpt":0.2925644503705544,"score_spread":0.23724445346216444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920754862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014666308,0.00028606664,0.98316216,0.00009614583,0.000024520916,0.00001461737,0.000016747634,0.00017254092,0.0015608376],"genre_scores_gemma":[0.6715058,0.0007276634,0.32387865,0.0002051289,0.00014501286,0.000092092385,0.00006882145,0.0000382635,0.003338443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953043,0.0001587789,0.000020257829,0.00005407051,0.0001722083,0.000064259504],"domain_scores_gemma":[0.99960417,0.00017182333,0.00007112773,0.00006289476,0.00007246817,0.000017596501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385736,0.00071709946,0.00046261481,0.00016067844,0.00022661427,0.000779169,0.0005172922,0.00055377505,0.00095135934],"category_scores_gemma":[0.00099352,0.00031711248,0.00042881686,0.00030633275,0.0004090924,0.0007251498,0.0008127363,0.00079512206,0.000617559],"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":[0.00026470446,0.00009488164,0.0009585649,0.0003244449,0.00013875311,0.00044117056,0.00019250994,0.6930882,0.14118889,0.025502527,0.0016476309,0.13615772],"study_design_scores_gemma":[0.000009768777,0.00012257589,0.00012796005,0.000008982313,0.000019587973,0.000088575514,0.000013530383,0.981791,0.014555138,0.0022170325,0.0010343294,0.000011454082],"about_ca_topic_score_codex":0.0003422396,"about_ca_topic_score_gemma":0.0006619157,"teacher_disagreement_score":0.00095135934,"about_ca_system_score_codex":0.0002628165,"about_ca_system_score_gemma":0.00044096177,"threshold_uncertainty_score":0.00318259},"labels":[],"label_agreement":null}]}