{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":25,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":25,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"c2e4553f7658","filters":{"venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)"}},"results":[{"id":"W4312868944","doi":"10.1109/iscas48785.2022.9937567","title":"Efficient Fine-Tuning of BERT Models on the Edge","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Adaptability; Software deployment; Edge device; Fine-tuning; Computation; Inference; Distributed computing; Resource (disambiguation); Metric (unit); Resource allocation; Artificial intelligence; Computer engineering; Operating system; Computer network","authors":[{"name":"Danilo Vucetic","is_ca":true},{"name":"Mohammadreza Tayaranian","is_ca":true},{"name":"Maryam Ziaeefard","is_ca":true},{"name":"James J. Clark","is_ca":true},{"name":"Brett H. Meyer","is_ca":true},{"name":"Warren J. Gross","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03886087501171164,"gpt":0.2612023358593475,"spread":0.2223414608476358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004718707,0.0001533839,0.000175936,0.000106003,0.0004397249,0.00009196431,0.001090937,0.00002674847,0.00002524522],"category_scores_gemma":[0.00001537422,0.0001200723,0.00007620933,0.0003126452,0.00004072831,0.00008322237,0.0002820421,0.0002452146,0.00001215497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377975,"about_ca_system_score_gemma":0.00002412033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894934,"about_ca_topic_score_gemma":0.000002266614,"domain_scores_codex":[0.9980552,0.000152637,0.0003732716,0.0004436127,0.0007842986,0.0001910401],"domain_scores_gemma":[0.9986339,0.0004598266,0.0002539721,0.0004884743,0.0001038943,0.00005995623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000480786,0.00008517834,0.00004130053,0.000005253954,0.00002304644,0.000004939358,0.000453966,0.5960106,0.004821332,0.3958717,0.001669791,0.001008107],"study_design_scores_gemma":[0.0002147011,0.0001212346,0.00009279907,0.00003448828,0.000004725711,0.0000672565,0.00009971636,0.9901181,0.0004346334,0.0009251584,0.007740679,0.0001465244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035157,0.0004728622,0.3023622,0.01979936,0.009337189,0.002025656,0.0002653884,0.0002709892,0.06195064],"genre_scores_gemma":[0.998158,0.00001565154,0.00002765874,0.0004045856,0.0002078303,0.0003139264,0.000007191776,0.00001481983,0.0008503618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949465,"threshold_uncertainty_score":0.4896405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312994745","doi":"10.1109/iscas48785.2022.9937721","title":"Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spacecraft; Convolutional neural network; Computer science; Pose; Artificial neural network; Artificial intelligence; Competition (biology); Generalization; Estimation; Real-time computing; Computer vision; Aerospace engineering; Engineering; Mathematics; Systems engineering","authors":[{"name":"Julien Posso","is_ca":true},{"name":"Guy Bois","is_ca":true},{"name":"Yvon Savaria","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01461185170076781,"gpt":0.2445497243904176,"spread":0.2299378726896498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005899048,0.0003210277,0.0004021019,0.0001396323,0.0003594103,0.000281388,0.0003268728,0.00009396828,0.0001053067],"category_scores_gemma":[0.000008480045,0.0003209191,0.000139787,0.0001648509,0.00001990697,0.0002746036,0.00003722857,0.0002597994,0.00001884015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028917,"about_ca_system_score_gemma":0.00001949463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577538,"about_ca_topic_score_gemma":0.0000327129,"domain_scores_codex":[0.9978604,0.0001241078,0.0005089891,0.0004664072,0.0006030927,0.0004369995],"domain_scores_gemma":[0.9991546,0.0001182824,0.0001527285,0.000315781,0.0000970149,0.0001616323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004295203,0.00006315289,0.0005332442,0.00009143174,0.0001638635,0.00001490752,0.000768274,0.9738728,0.01065716,0.002434876,0.006713564,0.004643727],"study_design_scores_gemma":[0.000903329,0.0005325757,0.0001983435,0.00004857732,0.00003066874,0.0001212678,0.0006966682,0.9308046,0.0001178978,0.00007012288,0.06609736,0.0003786538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201189,0.004729697,0.01631464,0.0005304336,0.04027044,0.004461488,0.001203079,0.0008784318,0.01149292],"genre_scores_gemma":[0.9929024,0.00006072941,0.00004549378,0.0001188763,0.001754538,0.00154391,0.000192686,0.00009138828,0.003289972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07278354,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313188981","doi":"10.1109/iscas48785.2022.9937767","title":"A Review of Simulation Algorithms of Classical Ising Machines for Combinatorial optimization","year":2022,"lang":"en","type":"review","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Ising model; Computer science; Algorithm; Hamiltonian (control theory); Combinatorial optimization; Mathematical optimization; Theoretical computer science; Mathematics; Statistical physics; Physics","authors":[{"name":"Tingting Zhang","is_ca":true},{"name":"Qichao Tao","is_ca":true},{"name":"Bailiang Liu","is_ca":true},{"name":"Jie Han","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05021346461592806,"gpt":0.33339897317634,"spread":0.2831855085604119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001113162,0.0004051921,0.00153027,0.0002611635,0.0001691999,0.0001249899,0.001011723,0.0001730197,0.00001998678],"category_scores_gemma":[0.0001584257,0.0003402737,0.0005225993,0.0004386761,0.00004574698,0.0001428887,0.0002217998,0.0003474722,9.609062e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501645,"about_ca_system_score_gemma":0.0001435049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864546,"about_ca_topic_score_gemma":2.040961e-7,"domain_scores_codex":[0.996335,0.0004146099,0.001450778,0.0007096109,0.0008647089,0.0002252646],"domain_scores_gemma":[0.9963853,0.001254994,0.001540191,0.0004592406,0.0002786212,0.00008170229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006686503,0.0002056073,7.979589e-7,0.04855588,0.0003124058,0.000006476226,0.000138713,0.1744767,0.00000575361,0.01240031,0.0005112097,0.7633795],"study_design_scores_gemma":[0.000255636,0.0001890197,1.764449e-7,0.02078181,0.0001007942,0.00004930867,0.000002518875,0.6247806,0.000001039752,0.0000661602,0.3535536,0.0002193729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002850124,0.8009518,0.1886148,0.0001126396,0.008304252,0.00131434,0.0003015352,0.00005012714,0.00034763],"genre_scores_gemma":[0.000250054,0.9973198,0.0008816711,0.00006693599,0.0009148154,0.0001791984,0.0002420124,0.00005104793,0.00009445941],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.76316,"threshold_uncertainty_score":0.9999049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312344003","doi":"10.1109/iscas48785.2022.9937612","title":"Does Video Compression Impact Tracking Accuracy?","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data compression; Compression (physics); Tracking (education); Computer vision; Artificial intelligence","authors":[{"name":"Takehiro Tanaka","is_ca":true},{"name":"Alon Harell","is_ca":true},{"name":"Ivan V. Bajić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02679022863866442,"gpt":0.3121599568375748,"spread":0.2853697281989104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006285851,0.0002638875,0.0002859217,0.0002265269,0.0005930836,0.0007147306,0.001437578,0.00005408766,0.0000803461],"category_scores_gemma":[0.00006827959,0.0001848642,0.0001139283,0.0002712145,0.00004184107,0.001094534,0.000482849,0.0004113656,0.00001089155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733611,"about_ca_system_score_gemma":0.0000547566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008806946,"about_ca_topic_score_gemma":0.00000227036,"domain_scores_codex":[0.9972607,0.0002129143,0.000482237,0.0007144424,0.001011222,0.0003184937],"domain_scores_gemma":[0.998515,0.000302583,0.0003968801,0.0004958473,0.0001702159,0.0001194763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009732031,0.0007808727,0.007582776,0.0002177947,0.0003220096,0.0004174636,0.004919915,0.0170748,0.8017154,0.03534349,0.01815845,0.1133697],"study_design_scores_gemma":[0.00187117,0.0009328775,0.003633562,0.0007037369,0.00003336752,0.001422602,0.0006425208,0.8611391,0.02496548,0.006430212,0.09646086,0.001764478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1656262,0.001354622,0.7949137,0.00534145,0.01861853,0.001548665,0.0003443878,0.001797105,0.01045532],"genre_scores_gemma":[0.9976567,0.00006520041,0.0005992021,0.0003071573,0.0003081766,0.0001967164,0.00001714832,0.00002934054,0.0008203469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8440644,"threshold_uncertainty_score":0.7538543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312341102","doi":"10.1109/iscas48785.2022.9937455","title":"Power Delivery for Ultra-Large-Scale Applications on Si-IF","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Nature; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Neuromorphic engineering; Computer science; Interconnection; Supercomputer; Network topology; Bandwidth (computing); Electronic engineering; Computer architecture; Embedded system; Engineering; Artificial neural network; Telecommunications; Computer network; Artificial intelligence; Parallel computing","authors":[{"name":"Yousef Safari","is_ca":true},{"name":"Anja Kroon","is_ca":true},{"name":"Boris Vaisband","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01637634707340285,"gpt":0.2464614321836615,"spread":0.2300850851102586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276319,0.0001904064,0.0001973526,0.0001112243,0.0004041001,0.00006582939,0.0002569924,0.00004701388,0.00007707644],"category_scores_gemma":[0.000006770393,0.0002002922,0.00009676084,0.0001171994,0.00001382268,0.00009978739,0.0000301679,0.0002574835,0.00002285506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858859,"about_ca_system_score_gemma":0.000008535141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002627645,"about_ca_topic_score_gemma":0.000001341191,"domain_scores_codex":[0.9986562,0.00004023676,0.0003276401,0.0003611778,0.0003579286,0.0002568276],"domain_scores_gemma":[0.9993556,0.0002216027,0.00008177432,0.000199188,0.00005921444,0.0000826875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006548678,0.0002389769,0.0002397718,0.0001580747,0.000177933,0.00002014843,0.001042533,0.7363911,0.2392661,0.01395111,0.005388419,0.00306037],"study_design_scores_gemma":[0.002588865,0.0008419883,0.0004398612,0.0001748521,0.00005065479,0.0002703158,0.002475298,0.2471915,0.02353214,0.0003929401,0.7207672,0.001274332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919596,0.0005900739,0.04579277,0.0004801623,0.0110035,0.002239255,0.001661096,0.0005899204,0.04568362],"genre_scores_gemma":[0.9970085,0.00003895158,0.000009606536,0.000246655,0.0004553862,0.0006846141,0.00007110563,0.00004538552,0.001439801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7153788,"threshold_uncertainty_score":0.8167678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312251372","doi":"10.1109/iscas48785.2022.9937940","title":"Optimizing a Multispectral-Images-Based DL Model, Through Feature Selection, Pruning and Quantization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multispectral image; Computer science; Pruning; Quantization (signal processing); Feature selection; Artificial intelligence; Software deployment; Inference; Machine learning; Population; Pattern recognition (psychology); Data mining; Computer vision","authors":[{"name":"Julio Torres-Tello","is_ca":true},{"name":"Seok‐Bum Ko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0258733469313551,"gpt":0.2415366400573778,"spread":0.2156632931260227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676535,0.0002095172,0.0002136568,0.0000303281,0.0007817325,0.0002760054,0.0001989527,0.00008346455,0.00008753562],"category_scores_gemma":[0.00001386282,0.0001031822,0.0000735954,0.0002877869,0.00002749147,0.0002355506,0.00005546205,0.0002777397,0.000003423542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060443,"about_ca_system_score_gemma":0.00001095423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002689825,"about_ca_topic_score_gemma":0.0001008779,"domain_scores_codex":[0.9983624,0.0001322939,0.0002581722,0.0004972396,0.0005140355,0.0002358748],"domain_scores_gemma":[0.9994784,0.0001164431,0.0001732455,0.00004813952,0.0001101257,0.00007363376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006411111,0.0002467484,0.009615055,0.0000368874,0.000111875,0.00002248473,0.001150388,0.133463,0.8343116,0.004871659,0.01413888,0.001967269],"study_design_scores_gemma":[0.002265922,0.001687172,0.02693987,0.0003034268,0.0001323281,0.0006637009,0.004258884,0.8224624,0.0145326,0.000278492,0.1246506,0.001824543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865695,0.0005591323,0.0007508194,0.005395656,0.001521404,0.0006100998,0.0002650459,0.0001582172,0.004170185],"genre_scores_gemma":[0.9963796,0.00007524822,0.00004417657,0.0005092247,0.0005268794,0.0001158147,0.0001919694,0.000004050428,0.002153055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.819779,"threshold_uncertainty_score":0.6012533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312352406","doi":"10.1109/iscas48785.2022.9937258","title":"A 200GΩ-Z<sub>IN</sub>, &lt;0.2%-THD CT-△Σ-Based ADC-Direct Artifact-Tolerant Neural Recording Circuit","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Electronic engineering; Total harmonic distortion; Computer science; Chopper; Capacitor; Electrical engineering; Engineering; Voltage","authors":[{"name":"Tania Moeinfard","is_ca":true},{"name":"Hossein Kassiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04233830270032658,"gpt":0.2537150835771458,"spread":0.2113767808768192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006725946,0.0004236178,0.0004820089,0.0005588863,0.0005596105,0.0003500984,0.0007701982,0.00005252778,0.00009894405],"category_scores_gemma":[0.0001880053,0.0004334631,0.0001868359,0.0007551807,0.00008466189,0.0004391557,0.0001410182,0.0006810035,0.0000596986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004040755,"about_ca_system_score_gemma":0.00006650217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009426667,"about_ca_topic_score_gemma":0.00001647502,"domain_scores_codex":[0.9954995,0.0003834186,0.0007700489,0.001242411,0.001401284,0.0007033524],"domain_scores_gemma":[0.9985262,0.0005115758,0.0002879804,0.0003979054,0.00005181307,0.0002244934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003517618,0.0001642003,0.0007670631,0.00003916735,0.000008520505,0.0006833868,0.0001471642,0.05425389,0.9407915,0.0006060906,0.0006016992,0.00190209],"study_design_scores_gemma":[0.001670399,0.0005343456,0.0009299482,0.0001915055,0.00002155539,0.001158257,0.000125882,0.5149948,0.4661866,0.00003683548,0.01314158,0.001008309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824535,0.0001128606,0.0000755751,0.0007242044,0.01096462,0.0006617666,0.0002067298,0.0001908808,0.004609857],"genre_scores_gemma":[0.9972391,0.00007633116,5.304375e-7,0.001173346,0.0003716555,0.0003453282,0.00001243168,0.00006765216,0.0007135952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.474605,"threshold_uncertainty_score":0.9998117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312509687","doi":"10.1109/iscas48785.2022.9937894","title":"DSegAN: A Deep Light-weight Segmentation-based Attention Network for Image Restoration","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Artificial intelligence; Computer science; Feature (linguistics); Image restoration; Benchmark (surveying); Discriminative model; Image segmentation; Computer vision; Pattern recognition (psychology); Segmentation; Image (mathematics); Feature detection (computer vision); Pixel; Feature extraction; Image texture; Image processing; Geography; Cartography","authors":[{"name":"Alireza Esmaeilzehi","is_ca":true},{"name":"M. Omair Ahmad","is_ca":true},{"name":"M.N.S. Swamy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01747603524583953,"gpt":0.2746711991238214,"spread":0.2571951638779819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007369224,0.0002187045,0.0002162116,0.0001894907,0.0007046505,0.0005310281,0.0007156082,0.00005393621,0.00002266723],"category_scores_gemma":[0.00003263859,0.0002272186,0.0000959157,0.0003236086,0.00002784913,0.0007823275,0.000116506,0.0001923778,0.000008188445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004233225,"about_ca_system_score_gemma":0.00006302135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002005899,"about_ca_topic_score_gemma":0.000007031041,"domain_scores_codex":[0.9976284,0.0001806465,0.0004990756,0.0006472344,0.0007642271,0.000280441],"domain_scores_gemma":[0.9986802,0.0001754002,0.0004223335,0.0003509386,0.0002929797,0.0000781091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000200662,0.0008085763,0.002382813,0.0004221484,0.0002804458,0.0001249092,0.00206821,0.05154615,0.7425933,0.1219067,0.05366791,0.02399815],"study_design_scores_gemma":[0.001171634,0.0004971661,0.0002113986,0.0001172884,0.00002409061,0.0001032629,0.0001279475,0.9616528,0.005383711,0.002817344,0.0273787,0.0005146286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003335748,0.0002693641,0.987247,0.002811817,0.003857894,0.0008578974,0.00005697624,0.0003174944,0.001245793],"genre_scores_gemma":[0.9672657,0.00002824495,0.02680679,0.0009128148,0.0009999175,0.00224434,0.0002269072,0.00005822718,0.001457105],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9639299,"threshold_uncertainty_score":0.9265707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313191607","doi":"10.1109/iscas48785.2022.9937618","title":"Selective Input Sparsity in Spiking Neural Networks for Pattern Classification","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"MNIST database; Inference; Computer science; Artificial neural network; Artificial intelligence; Spiking neural network; Pattern recognition (psychology); Set (abstract data type); Enhanced Data Rates for GSM Evolution; Machine learning","authors":[{"name":"Alexander J. Leigh","is_ca":true},{"name":"Moslem Heidarpur","is_ca":true},{"name":"Mitra Mirhassani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03510406941949527,"gpt":0.2583732742245974,"spread":0.2232692048051022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003094159,0.000166563,0.0002003199,0.000130638,0.0002266582,0.00006575683,0.0001989681,0.0000493308,0.00001028668],"category_scores_gemma":[0.00001176219,0.0001859397,0.00005751259,0.0001632304,0.00001216449,0.0001430569,0.0000463176,0.0003607436,0.000001374105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236147,"about_ca_system_score_gemma":0.000005835692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002101856,"about_ca_topic_score_gemma":0.00001879072,"domain_scores_codex":[0.9987432,0.00007900454,0.0003414793,0.0003298866,0.0002621491,0.0002442612],"domain_scores_gemma":[0.999509,0.0001767431,0.000102704,0.0001164457,0.00004506983,0.00004997857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000212478,0.00003306512,0.00519233,0.00004686056,0.00003368593,0.00001311645,0.0003605418,0.9693932,0.01648556,0.0004847765,0.0002478738,0.007687758],"study_design_scores_gemma":[0.0004860887,0.00009605167,0.004800321,0.00003910135,0.00000642688,0.00004497903,0.0002119118,0.9921475,0.0005405564,0.00003415295,0.001378938,0.0002139523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622431,0.0001761417,0.02962172,0.000167875,0.005562077,0.000623416,0.00006680184,0.0001351415,0.001403746],"genre_scores_gemma":[0.9989464,0.00002012753,0.000002745694,0.0001160464,0.0005087173,0.0001971298,0.00004670031,0.00003090775,0.0001312182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670333,"threshold_uncertainty_score":0.7582399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312477243","doi":"10.1109/iscas48785.2022.9937314","title":"Single-Event Transient Tolerant Optical Receiver Using Triple Modular Redundancy","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Redundancy (engineering); Triple modular redundancy; Voltage; Modular design; Bandwidth (computing); Electronic engineering; Electrical engineering; Engineering; Telecommunications","authors":[{"name":"Sami Sattar","is_ca":true},{"name":"Glenn Cowan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01902726417902261,"gpt":0.2373922444370387,"spread":0.218364980258016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004295181,0.0002577039,0.0003072557,0.0001952444,0.0002562348,0.0001358366,0.0002974463,0.00008125856,0.0001374157],"category_scores_gemma":[0.00001501721,0.0002823683,0.0001258688,0.0002126979,0.00002896153,0.0001543398,0.0000316477,0.0004082004,0.000012486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221038,"about_ca_system_score_gemma":0.00003444218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003643296,"about_ca_topic_score_gemma":0.000004924018,"domain_scores_codex":[0.997664,0.0001448445,0.0005324148,0.0004158713,0.0008666401,0.0003761701],"domain_scores_gemma":[0.9993678,0.00009329092,0.0000982677,0.0002518682,0.00006409867,0.0001246985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001684612,0.0001172203,0.00003046836,0.00004908425,0.0001370325,0.00003969674,0.0005191121,0.8652373,0.1288851,0.002314183,0.000753894,0.001900025],"study_design_scores_gemma":[0.0007775815,0.000243089,0.0001303112,0.0000629081,0.00003507074,0.000308882,0.0001309201,0.9553113,0.003164757,0.00003137246,0.03945013,0.0003536591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716886,0.0008656768,0.007818067,0.0003003267,0.01136316,0.0006598781,0.0001483185,0.0001915344,0.006964392],"genre_scores_gemma":[0.9985539,0.00004529603,0.00001792546,0.00007952809,0.0004487979,0.0001391558,0.00004019915,0.0000696241,0.0006056291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257204,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312649535","doi":"10.1109/iscas48785.2022.9937607","title":"A Templated VHDL Architecture for Terabit/s P4-programmable FPGA-based Packet Parsing","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Field-programmable gate array; Header; Pipeline (software); Throughput; VHDL; Parsing; Computer architecture; Virtex; Network packet; Embedded system; Parallel computing; Operating system; Computer network; Programming language","authors":[{"name":"Parisa Mashreghi-Moghadam","is_ca":true},{"name":"Tarek Ould‐Bachir","is_ca":true},{"name":"Yvon Savaria","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02861849980791213,"gpt":0.2583875093207397,"spread":0.2297690095128275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007403181,0.0003109824,0.0004077631,0.0002357998,0.0006947282,0.0006358391,0.0009686288,0.00009264181,0.00003536412],"category_scores_gemma":[0.00002447272,0.0002913642,0.0002324864,0.00039184,0.00003859082,0.000193624,0.0001685084,0.0003681161,0.000009223724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101184,"about_ca_system_score_gemma":0.00008070257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001855872,"about_ca_topic_score_gemma":0.00001896411,"domain_scores_codex":[0.9970828,0.0002052027,0.0005238829,0.0008382428,0.0008482629,0.0005015896],"domain_scores_gemma":[0.9984823,0.0004401603,0.0002753228,0.0004864546,0.0001519795,0.0001637624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004893442,0.001872934,0.004929907,0.0006379149,0.003485866,0.0005297802,0.005633446,0.7094,0.01683929,0.07356041,0.0868303,0.09579077],"study_design_scores_gemma":[0.003560436,0.00142665,0.0003083116,0.0001898958,0.0001691933,0.0006180414,0.0002161955,0.7625902,0.0009447917,0.001652851,0.2271435,0.001179948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3773621,0.002965502,0.5432569,0.02125374,0.03601797,0.006953964,0.001854711,0.00203864,0.008296437],"genre_scores_gemma":[0.9961019,0.000009335746,0.0003170443,0.001020222,0.0004963417,0.0007307983,0.0001180136,0.00004389627,0.001162415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6187398,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312772542","doi":"10.1109/iscas48785.2022.9937463","title":"Classification of Alzheimer’s Disease from MRI Data Using a Lightweight Deep Convolutional Model","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pointwise; Artificial intelligence; Convolution (computer science); Computer science; Kernel (algebra); Neuroimaging; Pattern recognition (psychology); Alzheimer's Disease Neuroimaging Initiative; Separable space; Cognitive impairment; Deep learning; Disease; Mathematics; Medicine; Psychology; Pathology; Neuroscience","authors":[{"name":"Emimal Jabason","is_ca":true},{"name":"M. Omair Ahmad","is_ca":true},{"name":"M.N.S. Swamy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1021152314814876,"gpt":0.3445177518618712,"spread":0.2424025203803836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350422,0.0001719038,0.0002827179,0.0002078938,0.0002347866,0.00006370778,0.0003743315,0.0000438635,0.0005084673],"category_scores_gemma":[0.00002964895,0.0001628577,0.00008590049,0.000149144,0.00007732645,0.000201074,0.0002521752,0.0002341324,0.00001370731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009733,"about_ca_system_score_gemma":0.0002149704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180215,"about_ca_topic_score_gemma":0.000005022958,"domain_scores_codex":[0.9970139,0.0001707553,0.000514036,0.0006025677,0.001482327,0.0002164367],"domain_scores_gemma":[0.9987176,0.00009522719,0.0002441659,0.0004685617,0.0002659017,0.0002085522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002198418,0.005251616,0.3986147,0.0004306708,0.004708537,0.0004527689,0.001618677,0.02759841,0.5000978,0.0379593,0.01663295,0.004436123],"study_design_scores_gemma":[0.001471426,0.0001554708,0.05443787,0.0001083199,0.0003032726,0.00005148364,0.0003719316,0.9395298,0.000356983,0.0001410329,0.00289057,0.000181865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763713,0.001701051,0.006558441,0.002075288,0.001646761,0.001113459,0.004119485,0.00004215025,0.006372038],"genre_scores_gemma":[0.9964232,0.00009792316,0.00002875299,0.0001747436,0.0003473005,0.0001295189,0.001904922,0.00002549039,0.0008681798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9119314,"threshold_uncertainty_score":0.6641145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312989709","doi":"10.1109/iscas48785.2022.9937432","title":"Metastability Correction Techniques for TSPC-DFF with Applications in Vernier TDC","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Science and Engineering Research Council","keywords":"Vernier scale; Metastability; Computer science; Converters; CMOS; Materials science; Voltage; Optoelectronics; Optics; Physics","authors":[{"name":"Fei Yuan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01791263785955253,"gpt":0.259229766325646,"spread":0.2413171284660935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000261083,0.0001569684,0.0001905714,0.0002009719,0.0001837012,0.00004669771,0.0002257538,0.0000479768,0.00003112832],"category_scores_gemma":[0.0000132316,0.0001423677,0.0000386617,0.0002250948,0.00003404345,0.0001234348,0.00004300722,0.0002133476,0.000001928868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658314,"about_ca_system_score_gemma":0.00001012637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003836316,"about_ca_topic_score_gemma":0.00004223145,"domain_scores_codex":[0.9989282,0.00002840549,0.0002884717,0.0003003517,0.0002858205,0.0001686908],"domain_scores_gemma":[0.9995146,0.0001287214,0.00007467807,0.0002007951,0.00005381647,0.00002738875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004079233,0.001846525,0.06522368,0.001279967,0.00132679,0.00004376841,0.003157028,0.560382,0.09584009,0.1167867,0.01611508,0.1375905],"study_design_scores_gemma":[0.001994433,0.001138756,0.002551277,0.0002101807,0.00008536655,0.0001883422,0.006430598,0.1390433,0.02284534,0.001301476,0.8228977,0.001313284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5959691,0.001375622,0.3176907,0.0007937764,0.01400978,0.008431255,0.001862672,0.002706656,0.05716037],"genre_scores_gemma":[0.9950283,0.00007828277,0.00008336523,0.00001995076,0.00009926529,0.003687942,0.00006476814,0.00002775817,0.0009104029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8067826,"threshold_uncertainty_score":0.5805587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312381555","doi":"10.1109/iscas48785.2022.9937808","title":"Resolving Unusual Gate Current and Dielectric Breakdown of Solution Processed Carbon Nanotube Thin Film Transistor","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thin-film transistor; Dielectric; Materials science; Transistor; Gate dielectric; Leakage (economics); Optoelectronics; Carbon nanotube; Fabrication; Active layer; Nanotechnology; Layer (electronics); Electrical engineering; Voltage","authors":[{"name":"Sean F. Romanuik","is_ca":true},{"name":"Bishakh Rout","is_ca":true},{"name":"Pierre‐Luc Girard‐Lauriault","is_ca":true},{"name":"Sharmistha Bhadra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01511541996824313,"gpt":0.2212577413202503,"spread":0.2061423213520071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003720137,0.0002526476,0.0003403488,0.0003443244,0.0001763307,0.00006759198,0.0003083845,0.00008252453,0.00001503583],"category_scores_gemma":[0.00002411374,0.000264249,0.00007223197,0.0002975671,0.00005941957,0.0001466674,0.00004024889,0.0004304372,0.000001027526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788213,"about_ca_system_score_gemma":0.00003149782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002170124,"about_ca_topic_score_gemma":0.00004764288,"domain_scores_codex":[0.9981045,0.00008299617,0.0005174238,0.0003924415,0.0006306195,0.00027209],"domain_scores_gemma":[0.9994335,0.00009443047,0.0001338515,0.0001969779,0.00008102673,0.00006025877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001336947,0.0003214637,0.001441028,0.002058035,0.000486812,0.00004932496,0.007488432,0.1850125,0.7850105,0.004771787,0.002053008,0.01117338],"study_design_scores_gemma":[0.002032416,0.0005875748,0.002711089,0.0005322407,0.0001404136,0.0003036161,0.001209032,0.9439313,0.02838033,0.0001354797,0.01898507,0.001051403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821725,0.008334368,0.000624276,0.0002905537,0.004362117,0.0005361341,0.0002374788,0.0004287133,0.00301379],"genre_scores_gemma":[0.9989575,0.0004889157,0.000005136922,0.00001129714,0.0001114881,0.0001825364,0.00002584917,0.00004388298,0.0001733557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7589188,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312642302","doi":"10.1109/iscas48785.2022.9937598","title":"A Portable Electrochemical Impedance Spectroscopy Lab-on-chip System for Biosensing Applications","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Software portability; Biosensor; Lab-on-a-chip; System of measurement; Dielectric spectroscopy; Computer science; Chip; Electrical impedance; System on a chip; Biomolecule; Electronic engineering; Computer hardware; Electrical engineering; Materials science; Embedded system; Nanotechnology; Engineering; Physics; Electrochemistry; Microfluidics","authors":[{"name":"Xuanjie Ye","is_ca":true},{"name":"Jiajun Li","is_ca":true},{"name":"Tianxiang Jiang","is_ca":true},{"name":"Bingxuan Li","is_ca":true},{"name":"Jie Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01555199436900751,"gpt":0.2524197148325754,"spread":0.2368677204635679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000309698,0.0002768571,0.0003685036,0.00008434762,0.0003614424,0.0001036583,0.000335353,0.0001022406,0.00005882506],"category_scores_gemma":[0.00004454844,0.0002815241,0.0001655274,0.0002004394,0.00003632113,0.00005917918,0.00005427588,0.0004307637,0.00002337787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005531869,"about_ca_system_score_gemma":0.00003056612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002352873,"about_ca_topic_score_gemma":8.317606e-7,"domain_scores_codex":[0.9977625,0.00003976018,0.0005352584,0.0006380268,0.0006042915,0.0004201882],"domain_scores_gemma":[0.9988973,0.0003385571,0.0001836416,0.0003050306,0.0001037752,0.0001716756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006946718,0.0001081773,0.00006240938,0.0001893851,0.0001405173,0.00001490724,0.00007405995,0.004002509,0.9603779,0.03397082,0.0009168526,0.00007303579],"study_design_scores_gemma":[0.001488818,0.0002956091,0.00001473313,0.0002013811,0.0001086764,0.0004949044,0.001000525,0.3074842,0.643298,0.0001487394,0.04459719,0.0008672544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8555731,0.0007138072,0.04647319,0.002293655,0.003913982,0.002771679,0.001567395,0.0008763035,0.08581687],"genre_scores_gemma":[0.994579,0.00001432925,0.00002961374,0.0001439389,0.0009701127,0.0005016063,0.0001380911,0.00005237974,0.003570881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170799,"threshold_uncertainty_score":0.9999637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312709047","doi":"10.1109/iscas48785.2022.9937950","title":"Fogging-Effect-Aware Mixed-Signal IC Placement with Reinforcement Learning","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advancements in Photolithography Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Foundation for Innovation","keywords":"Reinforcement learning; Computer science; Lithography; Distortion (music); SIGNAL (programming language); Representation (politics); Transistor; Electron-beam lithography; Chip; Resist; Artificial intelligence; Electronic engineering; Computer engineering; Materials science; Electrical engineering; Optoelectronics; Engineering; Layer (electronics); Telecommunications; Nanotechnology","authors":[{"name":"Mohammad Hajijafari","is_ca":true},{"name":"Mehrnaz Ahmadi","is_ca":true},{"name":"Zhenxin Zhao","is_ca":true},{"name":"Lihong Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01008167234698945,"gpt":0.2335002124327038,"spread":0.2234185400857144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005061792,0.0003416701,0.0003130307,0.0002847446,0.0003713558,0.0001271263,0.0003456841,0.00005472296,0.0003117282],"category_scores_gemma":[0.000004324072,0.0003224693,0.00008477639,0.0002093782,0.00003812808,0.0001699407,0.0001023636,0.0005068701,0.000009986527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145597,"about_ca_system_score_gemma":0.00001445552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000369611,"about_ca_topic_score_gemma":0.000003771359,"domain_scores_codex":[0.9975626,0.0001351824,0.0004594188,0.0004365794,0.001039405,0.0003668237],"domain_scores_gemma":[0.9993225,0.0001077301,0.0001598433,0.0002393303,0.00006248842,0.000108061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008135563,0.00006775258,0.003972885,0.0001869611,0.000491767,0.00008894972,0.0005431086,0.9725415,0.01398244,0.002410558,0.003503298,0.002129495],"study_design_scores_gemma":[0.004913827,0.005582805,0.0006497262,0.0008649552,0.0001844634,0.000891877,0.002509265,0.6540461,0.03260818,0.00007556271,0.2952398,0.002433457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684746,0.00116273,0.1991265,0.0002404897,0.01314707,0.004864089,0.000324064,0.002825403,0.109835],"genre_scores_gemma":[0.9965147,0.00008291737,0.00001471637,0.00006420796,0.0001981048,0.001241112,0.00009642936,0.00007305889,0.001714709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3280401,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312468999","doi":"10.1109/iscas48785.2022.9937446","title":"Design of A New Memristive-Based Architecture Using VTM Method","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Windsor","funders":"","keywords":"Memristor; Spice; Crossbar switch; NAND logic; CMOS; Diagonal; Computer science; NAND gate; Electronic engineering; Logic gate; Computation; Nonlinear system; Novelty; Comparator; Electrical engineering; Algorithm; Engineering; Mathematics; Physics","authors":[{"name":"Farzad Mozafari","is_ca":true},{"name":"Majid Ahmadi","is_ca":true},{"name":"Arash Ahmadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.054048819344559,"gpt":0.2915284134426919,"spread":0.2374795940981329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003828342,0.0001917029,0.0002741186,0.0001611546,0.0001632932,0.00003653103,0.0002369576,0.00004221256,0.00006054387],"category_scores_gemma":[0.0000161089,0.0001935198,0.00007291623,0.0001765966,0.00001550024,0.00006226441,0.00004251462,0.000305671,0.000001707362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652754,"about_ca_system_score_gemma":0.00003350466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003762243,"about_ca_topic_score_gemma":8.930617e-7,"domain_scores_codex":[0.9985397,0.0001834417,0.0003650028,0.0002810479,0.000437906,0.0001928938],"domain_scores_gemma":[0.9992986,0.0002880681,0.0001345816,0.0001527232,0.00004294007,0.00008313542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002463101,0.00001660583,0.00002874104,0.00004842652,0.00005225064,0.00001937426,0.0003515736,0.7564717,0.2405388,0.000235602,0.0001352097,0.002077064],"study_design_scores_gemma":[0.0006991644,0.0001786983,0.00003904873,0.0001150244,0.00002837956,0.0001793946,0.0002132524,0.9582427,0.03707687,0.0001270576,0.002802598,0.0002977816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1492423,0.0003553342,0.8457987,0.00008418199,0.002940832,0.0003937418,0.00007233517,0.0001187756,0.0009938099],"genre_scores_gemma":[0.9983348,0.000007973973,0.00087258,0.00007078793,0.0003083249,0.00002694219,0.00001025874,0.00003921771,0.000329164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8490925,"threshold_uncertainty_score":0.789151,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313066984","doi":"10.1109/iscas48785.2022.9937306","title":"Lightweight and CCA2-Secure Hardware Implementation of Binary Ring-LWE","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cryptosystem; Computer science; Cryptography; Field-programmable gate array; Side channel attack; Virtex; Embedded system; Binary number; Computer hardware; Computer security; Mathematics; Arithmetic","authors":[{"name":"Karim Shahbazi","is_ca":true},{"name":"Seok‐Bum Ko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01810657573184832,"gpt":0.266981463705849,"spread":0.2488748879740007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004937391,0.0001757515,0.0002282277,0.0002550507,0.0003206903,0.0002018659,0.0006199401,0.00004436666,0.00009816705],"category_scores_gemma":[0.000005575794,0.0001712791,0.00007939937,0.0002881188,0.00003957366,0.0004309291,0.0003542658,0.0001967878,0.000003846759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007022787,"about_ca_system_score_gemma":0.00003324356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002352435,"about_ca_topic_score_gemma":0.000027268,"domain_scores_codex":[0.997958,0.0001553455,0.0004367286,0.0005239773,0.0007286381,0.0001972805],"domain_scores_gemma":[0.9991105,0.00009596562,0.0002657317,0.0003351053,0.00009765017,0.00009510694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004377732,0.000429471,0.02319945,0.0002640638,0.0003462195,0.0001255027,0.007671922,0.0005775866,0.04431673,0.9018934,0.01300355,0.00812831],"study_design_scores_gemma":[0.01233264,0.005599289,0.1332414,0.0007327775,0.0002453804,0.002565696,0.01661221,0.1320372,0.01966468,0.0108911,0.6620561,0.004021546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770721,0.001392909,0.006883839,0.002057985,0.005921423,0.0007316646,0.001651645,0.0001266901,0.004161732],"genre_scores_gemma":[0.9992428,0.0001272946,0.00004987607,0.0001313821,0.0001660419,0.00009469347,0.0000902893,0.00001158635,0.00008602677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8910023,"threshold_uncertainty_score":0.6984558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312258934","doi":"10.1109/iscas48785.2022.9937512","title":"pyNeurode: a real-time neural signal processing framework","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Discovery Centre","funders":"Simons Initiative for the Developing Brain","keywords":"Spike sorting; Computer science; Python (programming language); Spike (software development); Graphical user interface; Decoding methods; Sorting; Brain–computer interface; Software; Process (computing); Computer hardware; Algorithm","authors":[{"name":"Wing-kin Tam","is_ca":true},{"name":"Matthew F. Nolan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02894183438913472,"gpt":0.2654860865199743,"spread":0.2365442521308396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003946222,0.0002698053,0.0002732204,0.0001895062,0.0007661704,0.0004200715,0.0004938273,0.00007229787,0.00038135],"category_scores_gemma":[0.00006647503,0.0002565793,0.0001101939,0.000347003,0.00006544832,0.0002665777,0.0001631652,0.0005497942,0.00005646929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027966,"about_ca_system_score_gemma":0.00003934512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005838624,"about_ca_topic_score_gemma":0.000001314612,"domain_scores_codex":[0.9967911,0.0003474472,0.0004746722,0.0008486743,0.00117982,0.0003582853],"domain_scores_gemma":[0.9988945,0.0003690683,0.0002996918,0.0002323917,0.00007045503,0.0001339518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009315667,0.0002176985,0.0004727744,0.00005092429,0.00001949775,0.0002191097,0.0004166304,0.01597424,0.9634719,0.01061683,0.001832258,0.006614922],"study_design_scores_gemma":[0.0009716118,0.001009485,0.0011159,0.0001447725,0.00003620327,0.001669181,0.0002684421,0.9647949,0.005555758,0.0008147177,0.02273704,0.000881935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737997,0.00005123885,0.0003309261,0.002229711,0.005882492,0.0005932077,0.0002735665,0.0002200969,0.01661908],"genre_scores_gemma":[0.9919652,0.00004332318,0.000003084627,0.001159252,0.0006388788,0.000166991,0.00002313984,0.00005168492,0.005948424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9579162,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312962942","doi":"10.1109/iscas48785.2022.9937933","title":"Comparison of Virtual Network Embedding Algorithms for Data Center Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Network topology; Scalability; Network virtualization; Distributed computing; Computer network; Provisioning; Data center; Virtual network; Network architecture; Networking hardware; Server; Network management; Operability; The Internet; Software-defined networking; Network management station; Embedding; Network monitoring; Virtualization; Operating system; Cloud computing","authors":[{"name":"Hardeep Kaur Takhar","is_ca":true},{"name":"Ana Laura Gonzalez Rios","is_ca":true},{"name":"Ljiljana Trajković","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07214335256538087,"gpt":0.3331638734030341,"spread":0.2610205208376533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001152736,0.0002547446,0.0004856989,0.0001173987,0.0004689935,0.0002855977,0.002133928,0.00008433135,0.000032775],"category_scores_gemma":[0.00002623884,0.0002510261,0.0001153699,0.0003095642,0.00003950068,0.0003476723,0.0008993311,0.0003272284,0.000003432481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122217,"about_ca_system_score_gemma":0.0000382188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006084262,"about_ca_topic_score_gemma":0.000008123715,"domain_scores_codex":[0.99692,0.0001883837,0.0007821698,0.0008349445,0.0008368089,0.0004376489],"domain_scores_gemma":[0.9978307,0.000602327,0.0004840416,0.0008222878,0.000140205,0.0001203984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005552821,0.0003749412,0.01193974,0.0000393811,0.0003036908,0.00001645024,0.0006805342,0.8373412,0.0001648274,0.042999,0.08087548,0.0252092],"study_design_scores_gemma":[0.000751188,0.0003615157,0.000235996,0.00007582491,0.00001650577,0.0000634043,0.0001477512,0.9447094,0.00001243829,0.00008066918,0.05328628,0.0002590292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009246674,0.001250807,0.9636993,0.0006676038,0.022151,0.0008565197,0.0005593991,0.0001604619,0.001408216],"genre_scores_gemma":[0.9963953,0.00006181787,0.000461262,0.0003018411,0.001633411,0.0001776646,0.0003490272,0.00003448877,0.0005851097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871487,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312851536","doi":"10.1109/iscas48785.2022.9937872","title":"Power-Aware Computing on GPGPU Systems Using ML Classification Techniques","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"General-purpose computing on graphics processing units; Computer science; Parallel computing; Supercomputer; Operating system; Graphics","authors":[{"name":"Furat Al-Obaidy","is_ca":true},{"name":"Farah Mohammadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04212018802114641,"gpt":0.2918484872564467,"spread":0.2497282992353003,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001192292,0.0003163887,0.0003613185,0.0004471504,0.0008360756,0.0007267531,0.001214586,0.0001092585,0.00001822713],"category_scores_gemma":[0.00002425681,0.0003234844,0.0001077191,0.0004368105,0.00003946562,0.0002889012,0.0003229578,0.0004328637,0.00001128329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005852298,"about_ca_system_score_gemma":0.00006597208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582706,"about_ca_topic_score_gemma":7.495896e-7,"domain_scores_codex":[0.99642,0.0004697695,0.000734449,0.0008764813,0.001151395,0.0003479015],"domain_scores_gemma":[0.9982393,0.0002122437,0.0005746789,0.0005955285,0.000256954,0.0001213077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005289749,0.0008190977,0.002325298,0.0001861894,0.0003046624,0.0001543198,0.002941755,0.597697,0.03136238,0.3378173,0.01666967,0.009669425],"study_design_scores_gemma":[0.0002598657,0.0003361449,0.0002218071,0.0002015974,0.000007191371,0.0002965441,0.0003000527,0.9827062,0.0006865286,0.00006676679,0.01449747,0.0004198255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06227079,0.0003208939,0.897502,0.001181604,0.009801073,0.001341863,0.0001113962,0.001637464,0.02583291],"genre_scores_gemma":[0.9979357,0.00003206954,0.0004509688,0.0003239837,0.0003583354,0.0001075785,0.00003176782,0.00003766238,0.000721988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9356648,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312424858","doi":"10.1109/iscas48785.2022.9937568","title":"Variation-Aware Analog Circuit Sizing in Carbon Nanotube","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Carbon nanotube field-effect transistor; Sizing; Computer science; Process variation; Electronic circuit; Electronic engineering; Transistor; Spice; Analogue electronics; Carbon nanotube; Circuit design; Integrated circuit design; Process (computing); Field-effect transistor; Materials science; Electrical engineering; Nanotechnology; Engineering; Embedded system; Voltage","authors":[{"name":"Zahra Heshmatpour","is_ca":true},{"name":"Lihong Zhang","is_ca":true},{"name":"Howard M. Heys","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0219919450276835,"gpt":0.2541065315056993,"spread":0.2321145864780158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007065901,0.0002724549,0.0003276028,0.0004871451,0.0003048461,0.000281938,0.0009294042,0.00007665402,0.0000544848],"category_scores_gemma":[0.00005414728,0.0003015431,0.00007809493,0.0007392429,0.0000307145,0.000478193,0.0002821139,0.0003979987,0.00001104156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008380587,"about_ca_system_score_gemma":0.00009137589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003960445,"about_ca_topic_score_gemma":0.00003252214,"domain_scores_codex":[0.9967479,0.0003193205,0.0006289984,0.0008884413,0.001056823,0.0003585446],"domain_scores_gemma":[0.9986495,0.0002477121,0.0003351694,0.0004430497,0.0002078802,0.0001167323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002562307,0.0005798884,0.008232124,0.00006194828,0.0002116595,0.0003872756,0.008030794,0.8598595,0.01746422,0.09646562,0.0001949775,0.008486344],"study_design_scores_gemma":[0.001281438,0.0001678933,0.005332922,0.0000637167,0.000008479552,0.0002443482,0.0005158126,0.9885493,0.0001764248,0.0004674528,0.002676826,0.0005154167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1259427,0.0009558514,0.7829792,0.003501458,0.03132344,0.002911881,0.0004344465,0.000761047,0.05118997],"genre_scores_gemma":[0.9975257,0.00004581346,0.0001572694,0.0003262016,0.0002532771,0.0003166448,0.00003326336,0.00003336664,0.001308468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.871583,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312712419","doi":"10.1109/iscas48785.2022.9937649","title":"A Wearable Electrooculogram System with Parallel Motion Artifact Sensing and Reduction","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artifact (error); SIGNAL (programming language); Electrooculography; Channel (broadcasting); Wearable computer; Bandwidth (computing); Computer vision; Wireless; Computer hardware; Artificial intelligence; Embedded system; Telecommunications; Eye movement","authors":[{"name":"Shibam Debbarma","is_ca":true},{"name":"Sharmistha Bhadra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01641711575022838,"gpt":0.2298985901845939,"spread":0.2134814744343655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025078,0.0001875909,0.0002320177,0.000221464,0.0004888623,0.0003097009,0.0002977861,0.00006094458,0.000004189569],"category_scores_gemma":[0.000006936054,0.0001681431,0.00004030185,0.0002661043,0.00005009465,0.0002225643,0.00009313015,0.0003138483,0.000007101205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002735081,"about_ca_system_score_gemma":0.0000264601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002683686,"about_ca_topic_score_gemma":0.00001102998,"domain_scores_codex":[0.998104,0.0001901371,0.0002914688,0.0006130704,0.0005311743,0.0002701688],"domain_scores_gemma":[0.9992884,0.00004970345,0.0002171433,0.000272715,0.0001011782,0.00007087775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000275414,0.0008545997,0.00948301,0.0005211919,0.00113756,0.0008034896,0.004074339,0.08525284,0.2390726,0.4643373,0.002330497,0.1918571],"study_design_scores_gemma":[0.002448244,0.002216646,0.007181931,0.0005250835,0.00006848553,0.01534732,0.003232463,0.9570923,0.002833626,0.00051385,0.007412675,0.001127354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626955,0.0004244987,0.2251067,0.002503151,0.003367931,0.0006529769,0.00002238258,0.0006515994,0.004575262],"genre_scores_gemma":[0.9990224,0.00002650463,0.0001234428,0.00003678421,0.0001347029,0.00007109875,0.000007835566,0.00001639404,0.0005608799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8718395,"threshold_uncertainty_score":0.6856677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313175093","doi":"10.1109/iscas48785.2022.9937308","title":"CMOS Ring-Oscillator-Based Electrochemical Capacitance Imager with Frequency-Division-Multiplexed Readout","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitance; Ring oscillator; CMOS; Pixel; Optoelectronics; Multiplexing; Materials science; Electrode; Capacitive sensing; Physics; Electrical engineering; Optics; Engineering","authors":[{"name":"Ashwin Krishnan","is_ca":true},{"name":"Peter M. Levine","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0124733178866989,"gpt":0.2331420000499954,"spread":0.2206686821632965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002500587,0.0003454112,0.0004006749,0.0001066609,0.0004725138,0.0001711533,0.0005793786,0.0001052045,0.0005735676],"category_scores_gemma":[0.00003014436,0.0003039403,0.0001631997,0.0002826247,0.0000883994,0.0000987097,0.00005033882,0.0006137379,0.00003061139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896101,"about_ca_system_score_gemma":0.00007824231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175721,"about_ca_topic_score_gemma":0.00001023573,"domain_scores_codex":[0.9969621,0.0000550632,0.0005578872,0.0008748397,0.001118312,0.0004317644],"domain_scores_gemma":[0.9985974,0.0002249408,0.000319893,0.0004912715,0.000174639,0.0001918734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003860261,0.0002268665,0.002637279,0.00004896421,0.000172798,0.00001907564,0.00008564977,0.0008065354,0.9918321,0.003167469,0.0008368095,0.0001277994],"study_design_scores_gemma":[0.003516269,0.000405198,0.0003171333,0.0003388485,0.0002106177,0.0003709037,0.0005464965,0.0619214,0.8961288,0.0005876903,0.03381849,0.001838169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748237,0.000307059,0.001053549,0.00110124,0.0003291537,0.0002723959,0.0003153419,0.0001659136,0.02163165],"genre_scores_gemma":[0.9954858,0.00002069744,0.00005347667,0.0002624611,0.0003321671,0.000568702,0.0002577991,0.00005272499,0.002966168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09570337,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312849374","doi":"10.1109/iscas48785.2022.9937593","title":"Real-time Power Amplifier Impairment Assessment using Nonlinear Polynomial with Memory","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Amplifier; Linearization; Computer science; Nonlinear system; Nonlinear distortion; Predistortion; Polynomial; Bandwidth (computing); Electronic engineering; Distortion (music); Algorithm; Control theory (sociology); Mathematics; Telecommunications; Engineering; Artificial intelligence; Physics","authors":[{"name":"Ibrahim Fatungase","is_ca":true},{"name":"Jean‐François Bousquet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0156796271882446,"gpt":0.2570010444746266,"spread":0.241321417286382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004972951,0.0003530804,0.000374017,0.000211085,0.0003287484,0.0001642366,0.0003444691,0.00006918244,0.0005092806],"category_scores_gemma":[0.000003772258,0.0003426264,0.00008836301,0.0001785639,0.00004114894,0.0002093471,0.00008716254,0.0004526623,0.00003030966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047157,"about_ca_system_score_gemma":0.0000711868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001208356,"about_ca_topic_score_gemma":0.000002990936,"domain_scores_codex":[0.9974762,0.0001491376,0.0005104205,0.0005132385,0.0009506972,0.0004002615],"domain_scores_gemma":[0.9991146,0.0001232199,0.0001514268,0.000360705,0.00008451507,0.0001655018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001069889,0.0002626838,0.0009119165,0.00007904028,0.0005871218,0.0002209745,0.001115365,0.6805122,0.3082811,0.0005791664,0.00697157,0.0003718547],"study_design_scores_gemma":[0.005994055,0.002085644,0.003085564,0.0003680466,0.000200761,0.002452159,0.003386,0.9016209,0.003833484,0.00004107748,0.07411376,0.002818497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364012,0.0001383391,0.008370593,0.0001651382,0.008179328,0.001241855,0.000677374,0.0004264719,0.04439968],"genre_scores_gemma":[0.9963163,0.00003069565,0.0002538775,0.00007601624,0.0004960161,0.0002051366,0.000070773,0.0001164773,0.002434768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3044476,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}