{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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":"093b9d9739df","filters":{"venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)"}},"results":[{"id":"W4321192246","doi":"10.1109/icce56470.2023.10043432","title":"A Survey on Visual SLAM Algorithms Compatible for 3D Space Reconstruction and Navigation","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Robotics and Sensor-Based Localization","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simultaneous localization and mapping; Computer science; Occupancy grid mapping; Robot; Point cloud; Artificial intelligence; Task (project management); Computer vision; Grid; Ground truth; Collision avoidance; Mobile robot; Motion planning; Space (punctuation); Algorithm; Collision; Mathematics; Engineering; Computer security; Systems engineering","authors":[{"name":"Abhishek Khoyani","is_ca":true},{"name":"Marzieh Amini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05399328155215232,"gpt":0.3124471173631413,"spread":0.258453835810989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007730471,0.001333481,0.0009458718,0.002150205,0.0005286718,0.001597411,0.001808675,0.001129292,0.00523484],"category_scores_gemma":[0.00298915,0.0007112697,0.00125563,0.003670692,0.0004036297,0.001882716,0.001519595,0.0009853884,0.0035377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087815,"about_ca_system_score_gemma":0.001526609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417479,"about_ca_topic_score_gemma":0.004118552,"domain_scores_codex":[0.9989215,0.0001564149,0.00009035628,0.0002667919,0.0004724309,0.00009253149],"domain_scores_gemma":[0.9990129,0.0003011129,0.00006735797,0.0002306031,0.0003548306,0.00003312083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007342231,0.00005500735,0.001193392,0.001304104,0.00009743532,0.00004880068,0.0000907006,0.0210786,0.00442205,0.004984544,0.01331417,0.9533378],"study_design_scores_gemma":[0.00005090012,0.0004601516,0.008085787,0.001876988,0.0002606716,0.001333497,0.000744496,0.4433715,0.02868846,0.03956312,0.47533,0.0002344284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006947458,0.03660323,0.9390445,0.0004035247,0.0004761291,0.00009729667,0.0008573706,0.005062765,0.01050759],"genre_scores_gemma":[0.1953166,0.07221919,0.7074546,0.0009819968,0.0006416336,0.0003273062,0.009702581,0.001891549,0.01146458],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00523484,"threshold_uncertainty_score":0.01751226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192213","doi":"10.1109/icce56470.2023.10043508","title":"A Step-By-Step Approach for Camera and Low-Resolution-3D-LiDAR Calibration","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Lidar; Computer science; Calibration; Computer vision; Artificial intelligence; Process (computing); Sensor fusion; Remote sensing; Segmentation; MATLAB; Geography","authors":[{"name":"Hasan Abbasi","is_ca":true},{"name":"Ankita Dey","is_ca":true},{"name":"Ian Lam","is_ca":true},{"name":"Ziaaddin Sharifisoraki","is_ca":true},{"name":"Ebrahim Ali","is_ca":true},{"name":"Marzieh Amini","is_ca":true},{"name":"Sreeraman Rajan","is_ca":true},{"name":"James Green","is_ca":true},{"name":"Felix Kwamena","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02914180781569082,"gpt":0.2619017689204339,"spread":0.2327599611047431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073577,0.001496586,0.0008055258,0.001594015,0.000954961,0.00174571,0.002055539,0.001220098,0.0154844],"category_scores_gemma":[0.004091871,0.0009831692,0.001127784,0.001285291,0.0005591004,0.001442544,0.002893891,0.001960979,0.0102825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006384694,"about_ca_system_score_gemma":0.002128244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447033,"about_ca_topic_score_gemma":0.00514541,"domain_scores_codex":[0.998464,0.0001546631,0.00008048662,0.0003730964,0.0008109248,0.0001168648],"domain_scores_gemma":[0.9987148,0.0001950112,0.0001127998,0.0003116497,0.0006137182,0.00005207101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002388866,0.0001817208,0.002693244,0.0005062398,0.0001198432,0.0003329212,0.0005210568,0.05734684,0.1274192,0.01519537,0.01238394,0.7830607],"study_design_scores_gemma":[0.00006533199,0.0002561767,0.004466908,0.0001038898,0.00008044032,0.001586224,0.0002892171,0.6575449,0.2379989,0.011411,0.08597422,0.0002227734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001977057,0.00007581575,0.991798,0.00005694579,0.00005556117,0.0001040246,0.00007353692,0.004442315,0.001416688],"genre_scores_gemma":[0.04471289,0.0001191966,0.9503881,0.00009782102,0.00002295648,0.0001920267,0.0003914765,0.0008582794,0.003217299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0154844,"threshold_uncertainty_score":0.05180043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192562","doi":"10.1109/icce56470.2023.10043394","title":"Comparison of heuristic approaches to PCI planning for Quantum Computers","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Quantum Computing Algorithms and Architecture","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":"University of Toronto","funders":"","keywords":"Computer science; Quantum annealing; Heuristic; Quantum computer; Qubit; Quadratic unconstrained binary optimization; Decomposition; Theoretical computer science; Quantum algorithm; Mathematical optimization; Optimization problem; Heuristics; Quantum; Parallel computing; Algorithm; Mathematics; Artificial intelligence","authors":[{"name":"Giuseppe Barillaro","is_ca":false},{"name":"Andrea Boella","is_ca":false},{"name":"Filippo Gandino","is_ca":false},{"name":"Mohammad Ghazi Vakili","is_ca":true},{"name":"Edoardo Giusto","is_ca":false},{"name":"Giovanni Mondo","is_ca":false},{"name":"Bartolomeo Montrucchio","is_ca":false},{"name":"A. Scarabosio","is_ca":false},{"name":"Alberto Scionti","is_ca":false},{"name":"Olivier Terzo","is_ca":false},{"name":"Giacomo Vitali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2211595828882265,"gpt":0.3697650420043322,"spread":0.1486054591161056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146727,0.0008491401,0.0008298797,0.000891506,0.0005444561,0.001208367,0.00126744,0.001293243,0.004027796],"category_scores_gemma":[0.003745732,0.0003993634,0.0007234845,0.0009658323,0.0008022877,0.0009491158,0.0008772655,0.00108508,0.0003730223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793192,"about_ca_system_score_gemma":0.00259902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007606557,"about_ca_topic_score_gemma":0.008173517,"domain_scores_codex":[0.9991372,0.0003989397,0.00003012838,0.00009527888,0.0001928394,0.000145667],"domain_scores_gemma":[0.9983208,0.001127517,0.00008917724,0.0001693988,0.0001923974,0.0001006972],"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":[0.0001036205,0.00007302136,0.0003350265,0.0001069695,0.000035969,0.00002078598,0.00004465,0.9331332,0.0004546093,0.02313094,0.001093252,0.04146798],"study_design_scores_gemma":[0.00002375907,0.00003965005,0.000102638,0.00001174172,0.000007420116,0.000008084064,0.00003083947,0.9931966,0.0002703596,0.005457225,0.0008467786,0.000004923386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07957029,0.002393601,0.8859034,0.0007153183,0.0001978253,0.000252168,0.0002112459,0.0007321926,0.03002403],"genre_scores_gemma":[0.610621,0.0009739072,0.3846173,0.0002348434,0.00007568806,0.0003298282,0.0002974406,0.0002222282,0.002627833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007606557,"threshold_uncertainty_score":0.01512456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192564","doi":"10.1109/icce56470.2023.10043417","title":"A Novel Face Recognition Using Specific Values from Deep Neural Network-based Landmarks","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Face recognition and analysis","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Landmark; Artificial intelligence; Computer science; Facial recognition system; Pattern recognition (psychology); Face (sociological concept); Three-dimensional face recognition; Artificial neural network; Computer vision; Deep learning; Face detection","authors":[{"name":"Ziaaddin Sharifisoraki","is_ca":true},{"name":"Marzieh Amini","is_ca":true},{"name":"Sreeraman Rajan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1086661510225572,"gpt":0.3118733825788788,"spread":0.2032072315563216,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572362,0.0004657695,0.000570874,0.0006445617,0.0001894121,0.0004016544,0.0007103931,0.0004216603,0.002415463],"category_scores_gemma":[0.0006122161,0.000190761,0.0004501707,0.0005305525,0.000229897,0.0007183693,0.0005716504,0.0004952201,0.0007943552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304235,"about_ca_system_score_gemma":0.0003970308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788566,"about_ca_topic_score_gemma":0.002275418,"domain_scores_codex":[0.9997548,0.00002579481,0.00001012862,0.0000654148,0.0001112036,0.00003259784],"domain_scores_gemma":[0.9998502,0.00002919747,0.00001653029,0.00002300543,0.00006986038,0.00001121189],"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":[0.0004356001,0.00009321734,0.002249612,0.0001068243,0.00005946335,0.0001550598,0.00005820538,0.02151019,0.0976503,0.00261735,0.003593626,0.8714705],"study_design_scores_gemma":[0.00003072323,0.0004119027,0.004732718,0.00002588553,0.00005620625,0.0007260035,0.00005471266,0.86223,0.1245679,0.002178522,0.004934628,0.00005076973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08400017,0.0004703336,0.9093406,0.000123193,0.0001767899,0.0001109316,0.0002638269,0.002380294,0.003133822],"genre_scores_gemma":[0.5578736,0.0004589328,0.4329292,0.0001450273,0.00005120248,0.0001670768,0.0006916707,0.0001118513,0.007571474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002415463,"threshold_uncertainty_score":0.008080482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192297","doi":"10.1109/icce56470.2023.10043402","title":"Comparison of Modern Compression Standards on Medical Images for Telehealth Applications","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Telehealth; Data compression; Image compression; Coding (social sciences); Telemedicine; Computer vision; Multimedia; Artificial intelligence; Image processing; Image (mathematics)","authors":[{"name":"Yixiao Wang","is_ca":true},{"name":"Hamid Reza Tohidypour","is_ca":true},{"name":"Mahsa T. Pourazad","is_ca":true},{"name":"P. Nasiopoulo","is_ca":true},{"name":"Victor C. M. Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07858285840744363,"gpt":0.4409752147380609,"spread":0.3623923563306173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051617,0.0005503595,0.0003612107,0.003065389,0.0002890148,0.0008252281,0.0004641754,0.0006645723,0.001133662],"category_scores_gemma":[0.01022173,0.0001041432,0.0003449051,0.002146567,0.0004019616,0.0009368806,0.0004585709,0.0003677394,0.0003721501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865093,"about_ca_system_score_gemma":0.0004776801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718489,"about_ca_topic_score_gemma":0.002457017,"domain_scores_codex":[0.9977628,0.0003059575,0.0002454476,0.0001554517,0.001391337,0.000138875],"domain_scores_gemma":[0.9956998,0.001529097,0.0002809232,0.0004800943,0.001927983,0.00008218107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003372021,0.0005479833,0.01907212,0.001299871,0.0003159653,0.0005068616,0.0002442494,0.06711084,0.07994887,0.006166191,0.01512276,0.8062923],"study_design_scores_gemma":[0.0004328576,0.005499822,0.1609844,0.0007981093,0.0004206629,0.003099523,0.001125442,0.4937196,0.2871239,0.007328754,0.03920425,0.0002626546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815166,0.02018416,0.0693529,0.001022548,0.0006772358,0.000560601,0.003581907,0.002373746,0.02073026],"genre_scores_gemma":[0.9322309,0.007968479,0.04758161,0.0002398352,0.000152091,0.000182563,0.009164361,0.0001874223,0.002292736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003065389,"threshold_uncertainty_score":0.01085013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321193179","doi":"10.1109/icce56470.2023.10043463","title":"Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Accelerometer; Gyroscope; Event (particle physics); Computer science; Wearable computer; Convolutional neural network; Artificial intelligence; Deep learning; Spectrogram; Noise (video); Computer vision; Real-time computing; Pattern recognition (psychology); Embedded system; Engineering","authors":[{"name":"E. A. Nehary","is_ca":true},{"name":"Ankita Dey","is_ca":true},{"name":"Sreeraman Rajan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06347175874893854,"gpt":0.3315246233848813,"spread":0.2680528646359427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005029838,0.001056998,0.0005364374,0.0007828406,0.0001490872,0.0003813968,0.0006691837,0.0006655513,0.001121333],"category_scores_gemma":[0.001412788,0.0002547025,0.0004409281,0.0004788235,0.0001283,0.0006558982,0.0003569045,0.0002979141,0.0003143948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901921,"about_ca_system_score_gemma":0.0004942373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456177,"about_ca_topic_score_gemma":0.02096654,"domain_scores_codex":[0.9997905,0.00003050764,0.00001358658,0.00006054783,0.00006203755,0.00004274959],"domain_scores_gemma":[0.9996853,0.0001088223,0.00003231478,0.00002345085,0.0001276835,0.000022532],"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":[0.002983503,0.0007403741,0.02787559,0.0004134118,0.0004918964,0.000340657,0.00006901917,0.3208716,0.01927759,0.0008461105,0.006112833,0.6199775],"study_design_scores_gemma":[0.00002268545,0.0001996767,0.008961787,0.00002189377,0.00005418353,0.00006339985,0.00001695347,0.9849576,0.00498248,0.0002155695,0.0004907861,0.0000130505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559325,0.004740537,0.1273453,0.0005184246,0.0003834139,0.0001133275,0.001349531,0.002584359,0.007032591],"genre_scores_gemma":[0.9647536,0.001149533,0.02914753,0.0001466079,0.00004124655,0.00005632748,0.001569298,0.00003533041,0.003100466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456177,"threshold_uncertainty_score":0.02895403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192178","doi":"10.1109/icce56470.2023.10043372","title":"Quantum sensing: target detection with coherence","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Quantum Information and Cryptography","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":"University of Waterloo; Government of Canada; Department of National Defence","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Coherence (philosophical gambling strategy); Photon; Interferometry; Quantum imaging; Quantum sensor; Coherence time; Quantum; Physics; Detector; Computer science; Quantum optics; Optics; Quantum technology; Quantum mechanics; Open quantum system","authors":[{"name":"Shihan Sajeed","is_ca":true},{"name":"Bhashyam Balaji","is_ca":true},{"name":"Alex Kirillova","is_ca":true},{"name":"Thomas Jennewein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03564472253507971,"gpt":0.2792058892169226,"spread":0.2435611666818429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521931,0.0003262634,0.0003423448,0.0006133982,0.0003932261,0.000840227,0.0009498377,0.0009273385,0.001496834],"category_scores_gemma":[0.001094964,0.0002695825,0.0002163189,0.0005393053,0.001538095,0.001966088,0.001314313,0.000717207,0.0002832021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776942,"about_ca_system_score_gemma":0.0004459464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003519685,"about_ca_topic_score_gemma":0.0004505588,"domain_scores_codex":[0.9993161,0.0001254218,0.00002006385,0.0001303454,0.0003347977,0.00007335315],"domain_scores_gemma":[0.99933,0.0002806756,0.0001107751,0.0001240348,0.0001053196,0.00004919458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003078581,0.0002247016,0.001738502,0.0002603538,0.00006355402,0.0002973588,0.0002980047,0.0109192,0.5587519,0.2921471,0.002006288,0.1329851],"study_design_scores_gemma":[0.000138717,0.0009997656,0.002295658,0.00005922356,0.0000638916,0.001247484,0.0001173066,0.4487276,0.3979463,0.1280392,0.02018823,0.0001766142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09362604,0.001613184,0.890008,0.001064096,0.000182464,0.0001346247,0.00008112242,0.0006417894,0.01264866],"genre_scores_gemma":[0.8015017,0.0006131644,0.194499,0.000528044,0.0001287346,0.00009123307,0.00005266752,0.00005261913,0.002532847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001496834,"threshold_uncertainty_score":0.005007386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192579","doi":"10.1109/icce56470.2023.10043487","title":"Investigating Suitability of Inverse Tone Mapping for Medical Images","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Image Enhancement 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":"University of British Columbia","funders":"","keywords":"Computer science; Contrast (vision); Tone mapping; Computer vision; Artificial intelligence; Medical imaging; Brightness; Process (computing); Contrast enhancement; Image quality; High dynamic range; Dynamic range; Image (mathematics); Radiology; Medicine","authors":[{"name":"Hamid Reza Tohidypour","is_ca":true},{"name":"Yixiao Wang","is_ca":true},{"name":"Mahsa T. Pourazad","is_ca":true},{"name":"Panos Nasiopoulos","is_ca":true},{"name":"Dong-xu Zhao","is_ca":true},{"name":"Mingliang Xie","is_ca":true},{"name":"Divya Pandurang Kamat","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07035064885530755,"gpt":0.3616351436788329,"spread":0.2912844948235254,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000886929,0.0003981062,0.0002196302,0.000720981,0.000195579,0.0008855691,0.0002829053,0.0005800168,0.001591627],"category_scores_gemma":[0.007080896,0.0001385204,0.0002764695,0.0004610158,0.0003526611,0.0008156726,0.0003321518,0.000274035,0.0004206057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552773,"about_ca_system_score_gemma":0.0001322012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006331843,"about_ca_topic_score_gemma":0.0004028117,"domain_scores_codex":[0.999441,0.0001497948,0.00003211859,0.0001108265,0.0002084579,0.0000577653],"domain_scores_gemma":[0.9975495,0.001505317,0.0001453581,0.0001747211,0.0005578101,0.00006735044],"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":[0.001939564,0.0002100702,0.008694797,0.000805293,0.00009194308,0.0006789834,0.0004688849,0.02542996,0.7391416,0.001783854,0.0006716864,0.2200834],"study_design_scores_gemma":[0.00005708622,0.004164675,0.03065248,0.00009742418,0.0002263198,0.003544081,0.0007062434,0.3015353,0.6525344,0.0015636,0.004808445,0.0001099601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744761,0.001664305,0.1174152,0.0002490696,0.000123894,0.0001377848,0.0001237569,0.0004311357,0.005378814],"genre_scores_gemma":[0.9541491,0.001032201,0.04300311,0.00006947495,0.00004377132,0.00003455824,0.0001267506,0.00007836244,0.001462767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591627,"threshold_uncertainty_score":0.005324483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192176","doi":"10.1109/icce56470.2023.10043462","title":"Spectral Estimation from Actual Color Images based on Deep Neural Network","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"RGB color model; Artificial intelligence; Computer science; Artificial neural network; Residual; Computer vision; Pattern recognition (psychology); Spectral power distribution; Algorithm","authors":[{"name":"Peng Xu","is_ca":false},{"name":"Sreeraman Rajan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03281493103041316,"gpt":0.3108236299802413,"spread":0.2780086989498282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004550937,0.0007810686,0.000412598,0.0008133072,0.0001992298,0.0005324985,0.0007367992,0.0004632617,0.0009429722],"category_scores_gemma":[0.001019014,0.0002621708,0.000422498,0.0006800079,0.0002930248,0.0009070449,0.0005030715,0.0007038782,0.0004029165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411623,"about_ca_system_score_gemma":0.0004736789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976136,"about_ca_topic_score_gemma":0.007527073,"domain_scores_codex":[0.9997526,0.0000369368,0.00001237362,0.00009051083,0.00007332909,0.00003432234],"domain_scores_gemma":[0.9997109,0.00006271848,0.00003772028,0.00004962207,0.0001256897,0.00001324825],"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":[0.0003632099,0.0002340294,0.004685478,0.0001852973,0.0001240122,0.0001240429,0.00007351172,0.4005201,0.06230257,0.002547737,0.002813549,0.5260264],"study_design_scores_gemma":[0.000003424605,0.00001552239,0.0007914492,0.00000474761,0.00000855626,0.0000184069,0.000009550852,0.989482,0.008733221,0.0005141093,0.0004121811,0.000006827138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201176,0.0004893797,0.8744138,0.0001503387,0.00007871776,0.00005398606,0.0003757911,0.001991396,0.002328973],"genre_scores_gemma":[0.7513314,0.0005369737,0.2431087,0.0001275606,0.00004544252,0.0000802576,0.001488159,0.0001145753,0.003166943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005976136,"threshold_uncertainty_score":0.01188272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321192188","doi":"10.1109/icce56470.2023.10043379","title":"Disentanglement-Based Multi-Vehicle Detection and Tracking for Gate-Free Parking Lot Management","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Video Surveillance and Tracking Methods","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":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"Ministry of Education","keywords":"BitTorrent tracker; Computer science; Computer vision; Parking lot; Frame (networking); Artificial intelligence; Object detection; Tracking (education); Video tracking; Object (grammar); Real-time computing; Pattern recognition (psychology); Eye tracking; Engineering; Computer network","authors":[{"name":"Ching-Hung Cheng","is_ca":false},{"name":"Jingwen Chen","is_ca":true},{"name":"Wei-Hsiang Su","is_ca":false},{"name":"Ching-Chun Huang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1028387607332948,"gpt":0.3559181026955555,"spread":0.2530793419622606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005399956,0.0006494444,0.000726794,0.000994721,0.0003368049,0.0007073885,0.001107335,0.000576381,0.001080094],"category_scores_gemma":[0.0009167368,0.0004191642,0.00042939,0.0008938373,0.0002670583,0.001133714,0.001243429,0.0008826779,0.0007577976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918004,"about_ca_system_score_gemma":0.0008533555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592386,"about_ca_topic_score_gemma":0.009928321,"domain_scores_codex":[0.9996293,0.00005054465,0.00001302374,0.0001259271,0.0001158906,0.00006534579],"domain_scores_gemma":[0.9996911,0.00005788941,0.00003864324,0.00007990605,0.00009144672,0.00004110329],"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":[0.0007319984,0.000399165,0.006746402,0.0002102766,0.0001480584,0.0002613169,0.0002831932,0.08202377,0.1415874,0.002617839,0.006756299,0.7582343],"study_design_scores_gemma":[0.0000258227,0.0001297786,0.005037987,0.00001304502,0.00004140911,0.0002368868,0.00006632725,0.9502301,0.03802839,0.001472196,0.004688096,0.00002994991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09901362,0.0007719912,0.8928058,0.0001226557,0.0001015946,0.000102353,0.0002615659,0.004812606,0.002007799],"genre_scores_gemma":[0.6476402,0.0004466049,0.3480703,0.0001183247,0.00004006796,0.00006808065,0.001273502,0.0001722155,0.002170656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004592386,"threshold_uncertainty_score":0.009131312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}