{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":540,"total_is_capped":false,"direct_labels_cover":3,"predictions_cover":540,"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":"86d50a3aec0f","filters":{"venue":"Electronics"}},"results":[{"id":"W3048804154","doi":"10.3390/electronics9081295","title":"The k-means Algorithm: A Comprehensive Survey and Performance Evaluation","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1609,"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":"Cluster analysis; Computer science; Data mining; Algorithm; Convergence (economics); Initialization; Centroid; Outlier; Popularity; Variety (cybernetics); k-means clustering; Machine learning; Artificial intelligence","authors":[{"name":"Mohiuddin Ahmed","is_ca":false},{"name":"Raihan Seraj","is_ca":true},{"name":"Syed Mohammed Shamsul Islam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02951616626777782,"gpt":0.2715012711448277,"spread":0.2419851048770499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003082341,0.002248439,0.003158832,0.00577372,0.001567727,0.003383148,0.002857314,0.002678999,0.002609636],"category_scores_gemma":[0.01158302,0.001150646,0.00206271,0.01144695,0.001024954,0.003923103,0.001400179,0.001907386,0.003607834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594711,"about_ca_system_score_gemma":0.002895416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009061317,"about_ca_topic_score_gemma":0.005586541,"domain_scores_codex":[0.9956372,0.0006872825,0.0005225918,0.0008672286,0.002120981,0.000164729],"domain_scores_gemma":[0.9942123,0.002142913,0.0003178877,0.0004324975,0.002752179,0.0001422213],"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":[0.0003107737,0.0001243429,0.003343157,0.0030879,0.0003242073,0.00007672231,0.0002134342,0.04047912,0.002551206,0.006102369,0.0197121,0.9236748],"study_design_scores_gemma":[0.00009905621,0.001104712,0.01375121,0.002564521,0.0008560379,0.002374204,0.001197224,0.5639298,0.03291224,0.03499087,0.345567,0.0006531665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01918132,0.2661678,0.690882,0.001785933,0.001147579,0.000316563,0.001168913,0.004677642,0.01467224],"genre_scores_gemma":[0.1284844,0.2421637,0.6139997,0.0007910052,0.001331712,0.0004703496,0.004171844,0.001533423,0.007053891],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009061317,"threshold_uncertainty_score":0.01801711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377241880","doi":"10.3390/electronics12102323","title":"DC-YOLOv8: Small-Size Object Detection Algorithm Based on Camera Sensor","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":505,"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":"Computer science; Artificial intelligence; Object detection; Upsampling; Object (grammar); Precision and recall; Feature (linguistics); Context (archaeology); Point (geometry); Computer vision; Pattern recognition (psychology); Algorithm; Image (mathematics); Mathematics","authors":[{"name":"Haitong Lou","is_ca":false},{"name":"Xuehu Duan","is_ca":false},{"name":"Junmei Guo","is_ca":false},{"name":"Haiying Liu","is_ca":false},{"name":"Jason Gu","is_ca":true},{"name":"Lingyun Bi","is_ca":false},{"name":"Haonan Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01266948918731378,"gpt":0.2480874451694479,"spread":0.2354179559821341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005747533,0.001138472,0.00133093,0.001470484,0.0004473681,0.0007673538,0.002553872,0.000979222,0.002081732],"category_scores_gemma":[0.001479574,0.0004328365,0.0007655654,0.0008880812,0.0003916539,0.001259037,0.001024339,0.0009273024,0.001266655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008767203,"about_ca_system_score_gemma":0.001583572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386119,"about_ca_topic_score_gemma":0.01572595,"domain_scores_codex":[0.9994443,0.00003494374,0.00003709582,0.0002514645,0.0001522526,0.00007995194],"domain_scores_gemma":[0.9995479,0.00006320382,0.0000412947,0.00009136937,0.0002153479,0.00004082014],"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":[0.0009186796,0.000295933,0.007945053,0.0003296185,0.0001648593,0.0001820571,0.00007152593,0.04238437,0.05504235,0.002467925,0.02615453,0.8640431],"study_design_scores_gemma":[0.0001654184,0.000275753,0.005876809,0.00003740284,0.00007366746,0.0003729693,0.00007962738,0.9267311,0.05074384,0.00159488,0.01398749,0.0000609933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1574253,0.003733638,0.7999309,0.0005457054,0.0006634271,0.0008381571,0.002347602,0.02547783,0.009037451],"genre_scores_gemma":[0.3868167,0.001052561,0.5895222,0.0005310199,0.0001250091,0.0005264786,0.01028579,0.000521105,0.01061916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01386119,"threshold_uncertainty_score":0.02756101,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998094502","doi":"10.3390/electronics9010071","title":"4-Port MIMO Antenna with Defected Ground Structure for 5G Millimeter Wave Applications","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":420,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Higher Education Commision, Pakistan","keywords":"MIMO; Diversity gain; Electronic engineering; Antenna array; Antenna (radio); Ground plane; Antenna diversity; Extremely high frequency; Physics; Acoustics; Engineering; Electrical engineering; Optics; Beamforming","authors":[{"name":"Mahnoor Khalid","is_ca":false},{"name":"Syeda Iffat Naqvi","is_ca":false},{"name":"Niamat Hussain","is_ca":false},{"name":"MuhibUr Rahman","is_ca":true},{"name":"Fawad Fawad","is_ca":false},{"name":"Seyed Sajad Mirjavadi","is_ca":false},{"name":"Muhammad Jamil Khan","is_ca":false},{"name":"Yasar Amin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01012774544731812,"gpt":0.1951282109789728,"spread":0.1850004655316547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001039695,0.000523162,0.0003481249,0.000216114,0.0001238143,0.0004769321,0.000589368,0.0006601866,0.0008809927],"category_scores_gemma":[0.0001795319,0.0001743147,0.0003681298,0.0003006089,0.0002153215,0.0004099733,0.0002882099,0.0003482163,0.0007743934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705235,"about_ca_system_score_gemma":0.0001244702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152117,"about_ca_topic_score_gemma":0.0002342189,"domain_scores_codex":[0.9998499,0.00003070233,0.00000779618,0.00003589768,0.00004883373,0.00002681273],"domain_scores_gemma":[0.9997949,0.00002457035,0.00007219569,0.00005352138,0.00004004233,0.00001478708],"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":[0.0002596639,0.00008540959,0.003386173,0.0001698088,0.0001160738,0.0007731862,0.00007820213,0.04134857,0.900643,0.007337994,0.001620733,0.04418112],"study_design_scores_gemma":[0.00004731715,0.002062232,0.003961726,0.00002578476,0.0001103339,0.003213315,0.00008617041,0.3278592,0.6441249,0.002217459,0.01622065,0.00007081577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5065686,0.0007349629,0.4761485,0.0005494385,0.0003469328,0.00004204959,0.0002297742,0.001444962,0.01393475],"genre_scores_gemma":[0.9108519,0.0002244683,0.08532833,0.0001512815,0.00006229569,0.00003472085,0.0001349432,0.00002197398,0.003190039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008809927,"threshold_uncertainty_score":0.002947211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206713037","doi":"10.3390/electronics11020198","title":"Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":350,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Yayasan UTP; Universiti Teknologi Petronas; King Saud University","keywords":"Computer science; Computer security; Intrusion detection system; Artificial intelligence; Machine learning; Support vector machine; The Internet; Random forest; World Wide Web","authors":[{"name":"Mujaheed Abdullahi","is_ca":false},{"name":"Yahia Baashar","is_ca":false},{"name":"Hitham Alhussian","is_ca":false},{"name":"Ayed Alwadain","is_ca":false},{"name":"Norshakirah Aziz","is_ca":false},{"name":"Luiz Fernando Capretz","is_ca":true},{"name":"Said Jadid Abdulkadir","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02913918030108004,"gpt":0.3182235669894918,"spread":0.2890843866884117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006040252,0.001286032,0.003476813,0.01648399,0.0007872079,0.002742946,0.001748427,0.001728738,0.003883539],"category_scores_gemma":[0.02964961,0.0008424416,0.004307649,0.01378612,0.0009881129,0.003028131,0.001560565,0.001209116,0.0004771265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002545875,"about_ca_system_score_gemma":0.01332467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006445134,"about_ca_topic_score_gemma":0.01825847,"domain_scores_codex":[0.9944485,0.001606745,0.002122308,0.000395311,0.001273113,0.0001539213],"domain_scores_gemma":[0.9660175,0.0274822,0.00330136,0.0004220962,0.002553732,0.0002231394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007091089,0.00004782161,0.00134064,0.8548474,0.001978306,0.0002476327,0.0006021574,0.0002442809,0.0002171238,0.001037695,0.002560215,0.1368058],"study_design_scores_gemma":[0.0000343206,0.0001429426,0.002717071,0.939487,0.01063045,0.0005350501,0.0007175798,0.0001590023,0.0002266941,0.0006755331,0.04463803,0.00003625652],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001058423,0.9968857,0.000416508,0.0003934728,0.00008766638,0.0002695308,0.0002758034,0.000007830612,0.0006050295],"genre_scores_gemma":[0.006082907,0.9920434,0.000883986,0.0003612925,0.00004759217,0.0003233549,0.000158785,0.000004559827,0.0000941197],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01648399,"threshold_uncertainty_score":0.03194427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226313662","doi":"10.3390/electronics11071146","title":"A Hybrid Deep Learning-Based Approach for Brain Tumor Classification","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":331,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Deep learning; Computer science; F1 score; Feature extraction; Pattern recognition (psychology); Feature (linguistics); Machine learning; Artificial neural network","authors":[{"name":"Asaf Raza","is_ca":false},{"name":"Huma Ayub","is_ca":false},{"name":"Javed Ali Khan","is_ca":false},{"name":"Ijaz Ahmad","is_ca":false},{"name":"Ahmed S. Salama","is_ca":false},{"name":"Yousef Ibrahim Daradkeh","is_ca":false},{"name":"Danish Javeed","is_ca":false},{"name":"Ateeq Ur Rehman","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02958930816741314,"gpt":0.2585192916644873,"spread":0.2289299834970742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005411276,0.001163151,0.0007756707,0.001645511,0.0002880363,0.0006725544,0.001562026,0.001109744,0.0015209],"category_scores_gemma":[0.0006890885,0.0003113867,0.000784022,0.00111342,0.0002870981,0.001294136,0.0009757855,0.0009106979,0.001011474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797621,"about_ca_system_score_gemma":0.001008981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007576753,"about_ca_topic_score_gemma":0.01139678,"domain_scores_codex":[0.9995764,0.00004243587,0.00002605651,0.0001212194,0.0001484025,0.00008551622],"domain_scores_gemma":[0.9997588,0.000041169,0.00002423535,0.00002621146,0.0001264942,0.00002323248],"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":[0.0003377707,0.000357578,0.004771367,0.0001964,0.0001700761,0.000238994,0.00006252496,0.1181149,0.01831429,0.003777975,0.01338391,0.8402742],"study_design_scores_gemma":[0.00001256636,0.00009038173,0.0009700156,0.00002138191,0.00003341462,0.0001554383,0.0000192338,0.9855784,0.007666963,0.002343424,0.003093119,0.00001562767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09130411,0.004379845,0.8880194,0.0008341919,0.0003528191,0.0002468513,0.001546702,0.006883613,0.006432453],"genre_scores_gemma":[0.7443163,0.001988555,0.2273224,0.001014337,0.000220771,0.0003108071,0.005810777,0.0001920535,0.01882391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007576753,"threshold_uncertainty_score":0.01506531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3153187775","doi":"10.3390/electronics10090999","title":"Drone Deep Reinforcement Learning: A Review","year":2021,"lang":"en","type":"review","venue":"Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":300,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Patrolling; Drone; Software deployment; Reinforcement learning; Computer science; Target acquisition; Artificial intelligence; Situation awareness; Deep learning; Systems engineering; Computer security; Human–computer interaction; Engineering; Software engineering; Geography; Aerospace engineering","authors":[{"name":"Ahmad Taher Azar","is_ca":false},{"name":"Anis Koubâa","is_ca":false},{"name":"Nada Ali Mohamed","is_ca":false},{"name":"Habiba A. Ibrahim","is_ca":false},{"name":"Zahra Fathy Ibrahim","is_ca":false},{"name":"Muhammad Kazim","is_ca":false},{"name":"Adel Ammar","is_ca":false},{"name":"Bilel Benjdira","is_ca":false},{"name":"Alaa Khamis","is_ca":true},{"name":"Ibrahim A. Hameed","is_ca":false},{"name":"Gabriella Casalino","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01358995138239351,"gpt":0.2684637454940748,"spread":0.2548737941116813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005331415,0.0009050842,0.000911842,0.001179767,0.0001670848,0.000855654,0.001136346,0.0009390242,0.004796212],"category_scores_gemma":[0.001149792,0.0003955256,0.0005198469,0.001743194,0.0002856909,0.001197907,0.0006440743,0.001060238,0.001963386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267754,"about_ca_system_score_gemma":0.000894279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207691,"about_ca_topic_score_gemma":0.001569867,"domain_scores_codex":[0.9998467,0.0000235961,0.00002101212,0.00004213622,0.00005141892,0.00001523631],"domain_scores_gemma":[0.9995999,0.0002224835,0.00003878155,0.00001684474,0.00009802479,0.0000240511],"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":[0.00004591011,0.00008574905,0.0002897439,0.007402995,0.00009824766,0.00006084515,0.00003431017,0.006672309,0.0005399712,0.005303369,0.0198421,0.9596245],"study_design_scores_gemma":[0.00002568339,0.0002835674,0.001243207,0.00470775,0.0002688193,0.0007652977,0.0000738795,0.01155921,0.001698111,0.007348568,0.9719636,0.00006219552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007121198,0.9879667,0.006258479,0.0003766498,0.0003296002,0.00001454207,0.00006170367,0.00006512311,0.004215133],"genre_scores_gemma":[0.008662691,0.9837019,0.003976095,0.0002640261,0.0003407237,0.00002601246,0.0001648693,0.00002208129,0.002841536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004796212,"threshold_uncertainty_score":0.01604491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171724330","doi":"10.3390/electronics10111309","title":"Machine Learning-Based Data-Driven Fault Detection/Diagnosis of Lithium-Ion Battery: A Critical Review","year":2021,"lang":"en","type":"review","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Fault (geology); Fault detection and isolation; Battery (electricity); State (computer science); Reliability engineering; Machine learning; Artificial intelligence; Systems engineering; Power (physics); Engineering; Algorithm","authors":[{"name":"Akash Samanta","is_ca":false},{"name":"Sumana Chowdhuri","is_ca":false},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05290790988276568,"gpt":0.3547847475468801,"spread":0.3018768376641144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009324001,0.0009826593,0.001528526,0.00224617,0.0002466454,0.001118204,0.001305303,0.001317666,0.002971798],"category_scores_gemma":[0.001812255,0.0004741656,0.0008659617,0.002735589,0.0004259701,0.001918041,0.0005968584,0.001092248,0.001663767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400543,"about_ca_system_score_gemma":0.001327404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126036,"about_ca_topic_score_gemma":0.00125945,"domain_scores_codex":[0.9996829,0.00004327638,0.0000522445,0.00006933878,0.0001292388,0.00002316336],"domain_scores_gemma":[0.9987319,0.0007132089,0.0001252766,0.00003178878,0.0003574631,0.00004048702],"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":[0.00006621607,0.00009428738,0.0003569735,0.0319301,0.0001698614,0.0001892043,0.00007323337,0.001926773,0.001932261,0.005016743,0.02063392,0.9376105],"study_design_scores_gemma":[0.00001966655,0.0003605658,0.001398599,0.01001887,0.0005756629,0.001466041,0.0001253212,0.002200829,0.002566958,0.005283373,0.9758912,0.00009285608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000193404,0.9973367,0.001102386,0.0002362782,0.0002459263,0.000009848146,0.00002783702,0.00001566476,0.0008319234],"genre_scores_gemma":[0.001736213,0.9964168,0.0008543477,0.0001765789,0.0002830469,0.00001304521,0.00006026478,0.000004641018,0.0004549303],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002971798,"threshold_uncertainty_score":0.009941638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402230126","doi":"10.3390/electronics13173509","title":"A Systematic Review of Synthetic Data Generation Techniques Using Generative AI","year":2024,"lang":"en","type":"review","venue":"Electronics","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Generative grammar; Computer science; Synthetic data; Artificial intelligence; Data science; Data mining","authors":[{"name":"Mandeep Goyal","is_ca":true},{"name":"Qusay H. Mahmoud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.051434752465047,"gpt":0.3383780635860664,"spread":0.2869433111210195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002512112,0.001188202,0.001586611,0.004466787,0.0003717271,0.001388417,0.00139869,0.001279869,0.006623326],"category_scores_gemma":[0.01201224,0.000572304,0.001849105,0.004344541,0.0005502609,0.001660292,0.0007551368,0.001106937,0.001557774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007217213,"about_ca_system_score_gemma":0.003596222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525057,"about_ca_topic_score_gemma":0.005185534,"domain_scores_codex":[0.9988132,0.0003589905,0.0002697785,0.0001537828,0.0003701903,0.00003412664],"domain_scores_gemma":[0.9908056,0.007539092,0.0005786582,0.0002450261,0.0007578233,0.0000738051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008767969,0.00008256422,0.0004126227,0.2043305,0.0005412543,0.0001641484,0.0001644979,0.002370282,0.0009702467,0.009799593,0.02143348,0.7596431],"study_design_scores_gemma":[0.00004453619,0.000273738,0.001369447,0.1213466,0.001516823,0.0007952761,0.0001970364,0.001183634,0.001371789,0.00763973,0.8641863,0.00007497524],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003400038,0.9936345,0.002970921,0.000427261,0.0002203824,0.0001072436,0.0002646257,0.00003591505,0.001999285],"genre_scores_gemma":[0.002506634,0.9930156,0.003132724,0.0003263352,0.0001035154,0.0001456943,0.0002634301,0.00001647051,0.0004895153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006623326,"threshold_uncertainty_score":0.02215725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3081310128","doi":"10.3390/electronics9091363","title":"A Survey of Multi-Task Deep Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":160,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Forgetting; Deep learning; Transfer of learning; Task (project management); Active learning (machine learning); Machine learning; Engineering","authors":[{"name":"Nelson Vithayathil Varghese","is_ca":true},{"name":"Qusay H. Mahmoud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0304471569031292,"gpt":0.2600883677161803,"spread":0.2296412108130511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462719,0.001290274,0.001357449,0.0008440828,0.000294025,0.00145782,0.001702462,0.001297777,0.003347606],"category_scores_gemma":[0.00310717,0.0006225387,0.0007290186,0.001564962,0.0005669749,0.001753833,0.001176823,0.00155126,0.0009669823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125623,"about_ca_system_score_gemma":0.001258485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313265,"about_ca_topic_score_gemma":0.002287172,"domain_scores_codex":[0.999347,0.0001656148,0.00007665298,0.0001512569,0.0002049662,0.00005450429],"domain_scores_gemma":[0.9989974,0.0005849884,0.00005927878,0.00009096216,0.000214616,0.00005276046],"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":[0.0001269543,0.000174405,0.001569113,0.001311505,0.0001588777,0.00008886593,0.00008758921,0.1924558,0.001289473,0.03299874,0.007037034,0.7627016],"study_design_scores_gemma":[0.00003820771,0.0002977405,0.001066125,0.0005622506,0.00009063315,0.0002142858,0.00007100674,0.885215,0.002366213,0.04919489,0.06082463,0.00005907372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009830999,0.1674594,0.7975252,0.002021105,0.0005118909,0.0001368616,0.0001966879,0.0009007192,0.02141696],"genre_scores_gemma":[0.4763805,0.2443122,0.2540784,0.001716045,0.001611258,0.0005568177,0.0009250375,0.0003999414,0.02001974],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003347606,"threshold_uncertainty_score":0.01119888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3032728079","doi":"10.3390/electronics9060914","title":"Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Pooling; Dropout (neural networks); Pattern recognition (psychology); Deep learning; Cohen's kappa; Diabetic retinopathy; Convolutional neural network; Benchmark (surveying); Feature extraction","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01288972425832501,"gpt":0.2640185328731716,"spread":0.2511288086148466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838582,0.0008781797,0.0004878694,0.0009006981,0.0001750537,0.0004564738,0.0007293424,0.0005206068,0.001791328],"category_scores_gemma":[0.0009135433,0.0001815863,0.0006168417,0.0004861303,0.000149624,0.0007516319,0.0006368794,0.0007598515,0.0005702879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006069188,"about_ca_system_score_gemma":0.0004804401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006892053,"about_ca_topic_score_gemma":0.009770337,"domain_scores_codex":[0.9997779,0.00002530511,0.00001450398,0.00006439868,0.00006716345,0.00005074634],"domain_scores_gemma":[0.9998018,0.0000343184,0.00003184842,0.00003132423,0.00008068998,0.00002003126],"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":[0.001181438,0.0007994671,0.01479033,0.0002132796,0.0002615782,0.0004475311,0.0000816524,0.2084558,0.0487938,0.001918107,0.01979245,0.7032645],"study_design_scores_gemma":[0.00001849791,0.0001117408,0.004897374,0.00002410105,0.00005586704,0.0001237232,0.00002445331,0.979345,0.01251146,0.001417573,0.001452201,0.00001799175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.513781,0.003665365,0.4618331,0.0009244882,0.0003079597,0.0001814182,0.004769166,0.007430519,0.00710703],"genre_scores_gemma":[0.9386712,0.0003885792,0.05319696,0.0002459901,0.00006369472,0.00005594727,0.003486075,0.00008555414,0.003806091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006892053,"threshold_uncertainty_score":0.01370388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311974999","doi":"10.3390/electronics11244100","title":"Prediction of Fruit Maturity, Quality, and Its Life Using Deep Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"King Saud University","keywords":"Convolutional neural network; Maturity (psychological); Deep learning; Artificial intelligence; Computer science; Machine learning; Crop; Capability Maturity Model; Agricultural engineering; Artificial neural network; Agronomy; Engineering; Biology","authors":[{"name":"Nagnath Aherwadi","is_ca":false},{"name":"Usha Mittal","is_ca":false},{"name":"Jimmy Singla","is_ca":false},{"name":"N. Z. Jhanjhi","is_ca":false},{"name":"Abdulsalam Yassine","is_ca":true},{"name":"M. Shamim Hossain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04267632985990146,"gpt":0.2526148989790267,"spread":0.2099385691191252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398668,0.0007813995,0.0004159368,0.0007092587,0.0001451193,0.0005102849,0.0005604143,0.0006032116,0.0008757927],"category_scores_gemma":[0.000718712,0.0002142676,0.000589299,0.0005123781,0.0001434927,0.0006870447,0.0003361415,0.0006776784,0.0003245151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007598918,"about_ca_system_score_gemma":0.0003304544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008691773,"about_ca_topic_score_gemma":0.01283541,"domain_scores_codex":[0.9998842,0.000009153405,0.000007586051,0.0000450751,0.00002696899,0.00002691133],"domain_scores_gemma":[0.9997688,0.00006878922,0.00003796406,0.00001595688,0.00008382483,0.00002465616],"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":[0.0006656496,0.000864063,0.06313382,0.0003074693,0.0002275382,0.0004489254,0.00007116287,0.5835106,0.02776816,0.001129723,0.01265939,0.3092135],"study_design_scores_gemma":[0.000005285469,0.00003577693,0.006536548,0.00000794381,0.000008785821,0.00002004318,0.00001021209,0.9908391,0.001824242,0.0003598394,0.0003451493,0.000007018676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425437,0.003066731,0.1420884,0.0005056811,0.00009947472,0.00009659163,0.005651366,0.001941864,0.004006324],"genre_scores_gemma":[0.9633942,0.0005295429,0.02574665,0.0001138952,0.0000293618,0.0000555586,0.007478075,0.00003856173,0.002614185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008691773,"threshold_uncertainty_score":0.01728237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385423342","doi":"10.3390/electronics12153283","title":"A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems","year":2023,"lang":"en","type":"review","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"H2020 European Research Council; Interreg; Ministerio de Ciencia e Innovación","keywords":"Cyber-physical system; Computer security; Vulnerability (computing); Critical infrastructure; Computer science; Industrial control system; Smart grid; The Internet; Anomaly detection; Vulnerability assessment; Field (mathematics); Risk analysis (engineering); Systems engineering; Engineering; Control (management); Business; Electrical engineering","authors":[{"name":"Nicholas Jeffrey","is_ca":false},{"name":"Qing Tan","is_ca":true},{"name":"José R. Villar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02676600294737669,"gpt":0.308470876654836,"spread":0.2817048737074593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009639133,0.001313387,0.001323314,0.003870178,0.000403815,0.001459757,0.001154598,0.001271953,0.00344269],"category_scores_gemma":[0.002745053,0.0004919321,0.001064753,0.004311752,0.0004780146,0.002287983,0.0006125155,0.001075388,0.00154578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007080531,"about_ca_system_score_gemma":0.001732496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846074,"about_ca_topic_score_gemma":0.001886849,"domain_scores_codex":[0.9993367,0.0001089964,0.0001013625,0.0001309805,0.000279605,0.00004242055],"domain_scores_gemma":[0.9980038,0.001247123,0.0001903871,0.00006542596,0.0004527373,0.00004063487],"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":[0.00004904718,0.00008004323,0.0005214674,0.03007491,0.0001814627,0.00021339,0.000155043,0.002435715,0.001961458,0.009991446,0.02037494,0.9339611],"study_design_scores_gemma":[0.00001384499,0.0002484569,0.002132196,0.01458894,0.0005519575,0.001609118,0.0002300785,0.002170846,0.002089662,0.008425365,0.9678491,0.0000903617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004400128,0.9910341,0.004141183,0.000390846,0.0003617343,0.00002502263,0.00006601514,0.00005123116,0.003489837],"genre_scores_gemma":[0.003525155,0.9921421,0.00271709,0.0002288417,0.0002381487,0.00002331867,0.00008977036,0.000009077335,0.001026534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003870178,"threshold_uncertainty_score":0.01151687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285090724","doi":"10.3390/electronics11142181","title":"Understanding Cybersecurity Frameworks and Information Security Standards—A Review and Comprehensive Overview","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Information and Cyber Security","field":"Computer Science","cited_by":142,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Canada West","funders":"","keywords":"Computer security; Computer science; Information security; Process (computing); Field (mathematics); Data breach; Best practice","authors":[{"name":"Hamed Taherdoost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02400852986444165,"gpt":0.265328496151605,"spread":0.2413199662871633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003861665,0.0008876785,0.0008681816,0.009795238,0.0008819023,0.004449102,0.001095483,0.002246592,0.002632498],"category_scores_gemma":[0.008208707,0.0004939658,0.0007357022,0.01131975,0.002406447,0.008758911,0.001503807,0.002560479,0.0008112708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869633,"about_ca_system_score_gemma":0.008064413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004719162,"about_ca_topic_score_gemma":0.005107171,"domain_scores_codex":[0.9978651,0.0005728953,0.0003773614,0.0002253304,0.0008392542,0.0001201551],"domain_scores_gemma":[0.9884207,0.008639738,0.001093123,0.0002189354,0.001474812,0.0001526353],"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":[0.00003151331,0.00008821252,0.001471198,0.03792438,0.0001052936,0.0002040432,0.00195978,0.001624755,0.0007543554,0.1535505,0.04029571,0.7619902],"study_design_scores_gemma":[0.000004317481,0.0000505869,0.002428115,0.05116762,0.0001030213,0.0006280974,0.001611521,0.0003193446,0.0003561133,0.03157347,0.9117132,0.00004474205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003528084,0.992403,0.001034444,0.001996324,0.000232998,0.00001208387,0.000025312,0.00001101545,0.003932],"genre_scores_gemma":[0.003680731,0.9938592,0.001178339,0.0006514356,0.0002287534,0.00001978947,0.00005072922,0.000005894833,0.0003251521],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009795238,"threshold_uncertainty_score":0.02082074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963261445","doi":"10.3390/electronics8080822","title":"Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":141,"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","keywords":"SCADA; Embedded system; Modbus; Supervisory control; Arduino; Controller (irrigation); Instrumentation (computer programming); Computer science; Engineering; Computer hardware; Communications protocol; Operating system; Electrical engineering; Control (management)","authors":[{"name":"Lawrence Oriaghe Aghenta","is_ca":true},{"name":"M. Tariq Iqbal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01209261944718461,"gpt":0.2188984033891824,"spread":0.2068057839419978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003322804,0.0004836208,0.0003760574,0.0005076247,0.0002948514,0.0007876367,0.001068046,0.0004773426,0.004725556],"category_scores_gemma":[0.0005414498,0.0002763162,0.0003788323,0.0002720866,0.0002851586,0.0007280775,0.0004376956,0.0005259893,0.002123676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003643013,"about_ca_system_score_gemma":0.0005238446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006731661,"about_ca_topic_score_gemma":0.0008031329,"domain_scores_codex":[0.9995062,0.00006359266,0.00005157957,0.00009776942,0.0002324752,0.00004840159],"domain_scores_gemma":[0.9996327,0.00003205186,0.00005205876,0.00006764897,0.0001786516,0.00003683768],"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":[0.0006824917,0.0005729589,0.008375585,0.001269422,0.0002144408,0.002111916,0.0009349619,0.06514917,0.4277,0.047926,0.0263122,0.4187508],"study_design_scores_gemma":[0.0004535075,0.002208994,0.01200119,0.0001677639,0.0003039427,0.003019297,0.0002110588,0.434879,0.2495748,0.007541652,0.2893692,0.0002695302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03851337,0.0001968323,0.9316313,0.0001579356,0.0001243201,0.0006214157,0.0001709535,0.01086126,0.0177226],"genre_scores_gemma":[0.5366271,0.0002931733,0.4377443,0.0002051041,0.0000797867,0.0008401442,0.001019465,0.0007557927,0.02243519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004725556,"threshold_uncertainty_score":0.01580852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319596491","doi":"10.3390/electronics12040839","title":"Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mel-frequency cepstrum; Speech recognition; Computer science; Convolutional neural network; Feature (linguistics); Optimal distinctiveness theory; Pattern recognition (psychology); Artificial intelligence; Jitter; Feature extraction; Artificial neural network","authors":[{"name":"Kishor Bhangale","is_ca":false},{"name":"Mohanaprasad Kothandaraman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01374466518818066,"gpt":0.2307959788309115,"spread":0.2170513136427309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003026683,0.0007661241,0.0004576356,0.000530638,0.0001959772,0.0004092121,0.0004491487,0.0003859769,0.001269539],"category_scores_gemma":[0.0005562195,0.0002163022,0.0004309942,0.0003026518,0.0001492654,0.000588808,0.000519946,0.0006680303,0.0006340886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017758,"about_ca_system_score_gemma":0.0002829212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005469516,"about_ca_topic_score_gemma":0.007925728,"domain_scores_codex":[0.9997787,0.00002535156,0.00001432026,0.00007213183,0.00007083151,0.00003873681],"domain_scores_gemma":[0.9998336,0.00003445473,0.0000160682,0.00001583189,0.00008940125,0.00001067433],"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":[0.0005106234,0.0002023205,0.003337311,0.000120213,0.0001301102,0.0001736186,0.00008134785,0.04135742,0.1174208,0.001234079,0.004586086,0.8308461],"study_design_scores_gemma":[0.000009180528,0.00008336758,0.003860016,0.00001226622,0.00005941716,0.00008608848,0.00002879535,0.9704348,0.02333616,0.0006622578,0.001410317,0.00001741318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1845416,0.003164633,0.8006275,0.0004090905,0.00039619,0.0001096727,0.0005884637,0.003460158,0.00670273],"genre_scores_gemma":[0.8926023,0.001167724,0.09721356,0.0001976747,0.00009933064,0.00007897187,0.001213741,0.00006866634,0.007358116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005469516,"threshold_uncertainty_score":0.01087534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3173630589","doi":"10.3390/electronics10131549","title":"Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea","keywords":"Computer science; Intrusion detection system; Artificial intelligence; Network packet; Machine learning; Decision tree; Computer security; Real-time computing; Computer network","authors":[{"name":"Rakesh Shrestha","is_ca":false},{"name":"Atefeh Omidkar","is_ca":true},{"name":"Sajjad Ahmadi Roudi","is_ca":false},{"name":"Hassan Abbas","is_ca":false},{"name":"Shiho Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002998424265164727,"gpt":0.1684634818172882,"spread":0.1654650575521235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005424861,0.0006690868,0.0005880475,0.001229758,0.0003331593,0.0005897299,0.0007647892,0.00043815,0.0007990668],"category_scores_gemma":[0.0015818,0.0001720481,0.000332865,0.0004566401,0.0001662634,0.000820304,0.0004188093,0.0004417062,0.0003642782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008476021,"about_ca_system_score_gemma":0.0004310792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004227258,"about_ca_topic_score_gemma":0.003390239,"domain_scores_codex":[0.9996785,0.00005836012,0.00003755263,0.00009216074,0.00009376164,0.00003970818],"domain_scores_gemma":[0.9993799,0.0001948099,0.00009322698,0.00008346914,0.0002130632,0.00003555143],"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":[0.001057149,0.001113207,0.04158597,0.0002576843,0.0003044931,0.001131819,0.0002236589,0.3714476,0.04177352,0.003598318,0.009795508,0.5277111],"study_design_scores_gemma":[0.000007264166,0.00006852326,0.001603283,0.000005215936,0.00001379041,0.00006811287,0.00001203472,0.9903997,0.006813381,0.0003618252,0.0006400772,0.000006814785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4094787,0.0006076504,0.5492941,0.0005399292,0.0001914747,0.0004574373,0.0009945964,0.03354012,0.004896002],"genre_scores_gemma":[0.921257,0.0001315723,0.07640832,0.0001021165,0.00001865894,0.0001285848,0.0007248382,0.00004472718,0.001184146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004227258,"threshold_uncertainty_score":0.008405268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210348940","doi":"10.3390/electronics11030431","title":"Change Detection in Remote Sensing Image Data Comparing Algebraic and Machine Learning Methods","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":131,"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":"Change detection; Computer science; Pixel; Artificial intelligence; Remote sensing; Decision tree; Tree (set theory); Computation; Computer vision; Algorithm; Mathematics; Geography","authors":[{"name":"Anjali Goswami","is_ca":false},{"name":"Deepak Sharma","is_ca":false},{"name":"Harani Mathuku","is_ca":false},{"name":"Syam Machinathu Parambil Gangadharan","is_ca":false},{"name":"Chandra Shekhar Yadav","is_ca":false},{"name":"Saroj Kumar Sahu","is_ca":false},{"name":"Manoj Kumar Pradhan","is_ca":false},{"name":"Jagendra Singh","is_ca":false},{"name":"Hazra Imran","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05910530897374042,"gpt":0.3009998463596283,"spread":0.2418945373858879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003664438,0.0005399982,0.000667657,0.004360736,0.0003612391,0.001357851,0.0005922678,0.0005171186,0.001055799],"category_scores_gemma":[0.01072836,0.0002038817,0.0005960856,0.003459708,0.0008348695,0.001820772,0.0008531725,0.0005338689,0.0003280587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175005,"about_ca_system_score_gemma":0.000433461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197878,"about_ca_topic_score_gemma":0.001358756,"domain_scores_codex":[0.9971488,0.0008835583,0.0002312434,0.000495537,0.001108345,0.0001325562],"domain_scores_gemma":[0.9936708,0.003749291,0.0005551343,0.0004565962,0.001495008,0.00007319102],"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":[0.0008328391,0.0003297366,0.03111303,0.0007359258,0.0002954765,0.0002237325,0.0005461975,0.08063428,0.03374458,0.007394684,0.001526439,0.8426231],"study_design_scores_gemma":[0.00005150121,0.0005065175,0.04853269,0.00006483949,0.0001375741,0.0003502982,0.0005842836,0.8929608,0.04633397,0.005568468,0.00481363,0.00009532287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3082298,0.001292199,0.6844369,0.0002102601,0.0001394954,0.0002504198,0.0002681713,0.001359329,0.003813439],"genre_scores_gemma":[0.7347125,0.0004798846,0.2630069,0.0000423574,0.00006263374,0.0001267405,0.0004851477,0.00007812816,0.001005688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004360736,"threshold_uncertainty_score":0.01937962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213267140","doi":"10.3390/electronics11040563","title":"Deep Learning-Based Object Detection and Scene Perception under Bad Weather Conditions","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Thales (Canada); Université du Québec à Chicoutimi","funders":"","keywords":"Identification (biology); Truck; Computer science; Traffic congestion; Transport engineering; Object detection; Intelligent transportation system; Real-time computing; Artificial intelligence; Engineering; Automotive engineering; Pattern recognition (psychology)","authors":[{"name":"Teena Sharma","is_ca":true},{"name":"Benoît Debaque","is_ca":true},{"name":"Nicolas Duclos","is_ca":true},{"name":"Abdellah Chehri","is_ca":true},{"name":"Bruno Kinder","is_ca":true},{"name":"Paul Fortier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008267467910630086,"gpt":0.2455779006222552,"spread":0.2373104327116252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543183,0.0004827754,0.0003417067,0.0004677247,0.0001614967,0.0005209034,0.000534539,0.0004986345,0.001110985],"category_scores_gemma":[0.0004776883,0.0001886688,0.0003876417,0.0003217146,0.0001800491,0.0006281356,0.0004276045,0.0004781493,0.0004261914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004368538,"about_ca_system_score_gemma":0.0003795904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091601,"about_ca_topic_score_gemma":0.01283657,"domain_scores_codex":[0.9998245,0.00001489023,0.000006940109,0.00006241936,0.00003658867,0.00005473504],"domain_scores_gemma":[0.9998991,0.00002052895,0.00001223478,0.00001480635,0.00004087111,0.00001234123],"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":[0.0004631143,0.0003246586,0.0118852,0.0001495808,0.0001665975,0.0002518956,0.0001679275,0.2028424,0.1000638,0.001460384,0.004669545,0.6775549],"study_design_scores_gemma":[0.000005470548,0.00006221571,0.008060716,0.00001043201,0.00002350805,0.00004594035,0.00004256206,0.9755347,0.01472398,0.000707811,0.0007726712,0.000009983728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.581975,0.001166902,0.4049414,0.0003605236,0.0002091043,0.00008577121,0.0007371924,0.002816709,0.007707327],"genre_scores_gemma":[0.9683769,0.0002948144,0.02774,0.000112774,0.00002034564,0.00001665775,0.0007128955,0.00004008567,0.002685559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01091601,"threshold_uncertainty_score":0.02170491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377107432","doi":"10.3390/electronics12102287","title":"Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Cegep de Sept Iles; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Context (archaeology); Implementation; Machine learning; Artificial intelligence; Process (computing); Field (mathematics); Federated learning; Algorithm; Data science; Software engineering","authors":[{"name":"Mohammad Moshawrab","is_ca":true},{"name":"Mehdi Adda","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true},{"name":"Hussein Ibrahim","is_ca":true},{"name":"Ali Raad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02784864111452526,"gpt":0.2891463255796646,"spread":0.2612976844651393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007872549,0.001236659,0.001556789,0.003229022,0.001343398,0.005653779,0.004011371,0.002378474,0.002960794],"category_scores_gemma":[0.01907645,0.0005958938,0.001240878,0.007069805,0.00169164,0.009697708,0.001992283,0.003257893,0.002072715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353309,"about_ca_system_score_gemma":0.00334059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348478,"about_ca_topic_score_gemma":0.001899474,"domain_scores_codex":[0.9960818,0.001424335,0.0003995521,0.0006618706,0.001218344,0.0002142182],"domain_scores_gemma":[0.9901661,0.004903085,0.0005135011,0.0009849615,0.003191881,0.0002405407],"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":[0.00006548689,0.0001064976,0.001349041,0.002111465,0.0001441099,0.0001375667,0.000284056,0.02365386,0.0003541572,0.1750651,0.02640497,0.7703236],"study_design_scores_gemma":[0.00003304477,0.0002577375,0.001363993,0.005076379,0.0002350671,0.001477895,0.0008423448,0.182216,0.002986565,0.2730319,0.5323388,0.0001402075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004039892,0.3798723,0.5790964,0.01187162,0.002649006,0.0002401874,0.0001523209,0.0009431462,0.02113506],"genre_scores_gemma":[0.1479865,0.4281619,0.3946962,0.006843495,0.007997867,0.0005554002,0.0008243455,0.0003333288,0.01260105],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007872549,"threshold_uncertainty_score":0.04163456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2750780858","doi":"10.3390/electronics6030063","title":"Massive MIMO Wireless Networks: An Overview","year":2017,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"MIMO; Beamforming; Precoding; Computer science; Multi-user MIMO; 3G MIMO; Electronic engineering; Wireless; Overhead (engineering); Broadband; Key (lock); Computer engineering; Telecommunications; Engineering","authors":[{"name":"Noha Hassan","is_ca":true},{"name":"Xavier Fernando","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01564473410684731,"gpt":0.2615307331172148,"spread":0.2458859990103675,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959351,0.000683304,0.0004388234,0.0009488382,0.0002259541,0.001075004,0.0004775039,0.0007733377,0.001798067],"category_scores_gemma":[0.0004602164,0.0003188277,0.0002503385,0.001486356,0.0003521585,0.001464451,0.0006028225,0.0009200076,0.001239288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119853,"about_ca_system_score_gemma":0.0003965739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005183726,"about_ca_topic_score_gemma":0.0004870442,"domain_scores_codex":[0.9997771,0.00004839163,0.0000205665,0.00003904541,0.00009491188,0.00001989894],"domain_scores_gemma":[0.9997589,0.0001154468,0.00002300603,0.00001542313,0.00007001073,0.00001730154],"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":[0.00008649893,0.000115988,0.001256901,0.006755664,0.0001115303,0.0005199395,0.0001775723,0.02653014,0.006821466,0.1270383,0.05000007,0.7805858],"study_design_scores_gemma":[0.00001396326,0.0003129249,0.002228569,0.001583069,0.00008442622,0.00249752,0.0001712027,0.03350114,0.002448568,0.07634998,0.8807132,0.00009548168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003405814,0.8571744,0.09385686,0.001453784,0.00159862,0.00005966204,0.0001954487,0.0001915154,0.04206387],"genre_scores_gemma":[0.04697313,0.9092234,0.02899619,0.0008451514,0.004343358,0.0001032812,0.0002563676,0.00003172567,0.009227377],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001798067,"threshold_uncertainty_score":0.006015122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317036458","doi":"10.3390/electronics12020469","title":"A Novel Framework for Classification of Different Alzheimer’s Disease Stages Using CNN Model","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"Qassim University","keywords":"Overfitting; Dementia; Computer science; Categorization; Artificial intelligence; Machine learning; Alzheimer's disease; Convolutional neural network; Disease; Artificial neural network; Medicine; Pathology","authors":[{"name":"Gowhar Mohi ud din dar","is_ca":false},{"name":"Avinash Bhagat","is_ca":false},{"name":"Syed Immamul Ansarullah","is_ca":false},{"name":"Mohamed Tahar Ben Othman","is_ca":false},{"name":"Yasir Hamid","is_ca":false},{"name":"Hend Khalid Alkahtani","is_ca":false},{"name":"Inam Ullah","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1488338365595687,"gpt":0.3492267692226928,"spread":0.2003929326631241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506185,0.001164508,0.0006817942,0.001286403,0.0003055059,0.0007465841,0.001569311,0.0009892371,0.001826932],"category_scores_gemma":[0.0007283502,0.0003380384,0.001033338,0.0006989408,0.0003137917,0.0007915337,0.0005823689,0.0008345418,0.0006446885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359612,"about_ca_system_score_gemma":0.001301415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03254434,"about_ca_topic_score_gemma":0.03048545,"domain_scores_codex":[0.9997576,0.00002731402,0.00001554401,0.00008444774,0.00005330112,0.00006192835],"domain_scores_gemma":[0.9998202,0.00003087115,0.00002489663,0.00001533344,0.00008984766,0.00001885416],"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":[0.0003429306,0.0002490736,0.01241681,0.0001636518,0.0002937103,0.0003489865,0.0001098574,0.4814701,0.01147116,0.008568631,0.01285153,0.4717135],"study_design_scores_gemma":[0.000004195622,0.00002188211,0.0005831621,0.000009561025,0.00002120015,0.00003875263,0.000006862134,0.9965005,0.0008464228,0.001333706,0.0006283991,0.000005271506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0830228,0.002690674,0.9008612,0.001030235,0.0003504467,0.0002155837,0.001737233,0.003299258,0.006792518],"genre_scores_gemma":[0.8334051,0.00116998,0.1510255,0.0004224995,0.0002343542,0.0002743139,0.002816176,0.0001184993,0.01053358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03254434,"threshold_uncertainty_score":0.06470984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911497164","doi":"10.3390/electronics8020158","title":"Compact UWB Band-Notched Antenna with Integrated Bluetooth for Personal Wireless Communication and UWB Applications","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Polytechnique Montréal","funders":"Qatar National Library","keywords":"Bluetooth; Antenna (radio); Wi-Fi; Omnidirectional antenna; Reconfigurable antenna; Electrical engineering; Wireless; Monopole antenna; Ground plane; Electronic engineering; Antenna efficiency; Telecommunications; Engineering; Wireless network","authors":[{"name":"Mahdi NagshvarianJahromi","is_ca":true},{"name":"Seyed Sajad Mirjavadi","is_ca":false},{"name":"A.M.S. Hamouda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006352182479859513,"gpt":0.2059657579180844,"spread":0.1996135754382249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001871396,0.000365253,0.0005921168,0.0002507656,0.00008081614,0.0003960712,0.0008441351,0.0008684248,0.000661617],"category_scores_gemma":[0.0003190378,0.0002929941,0.0006307473,0.000392551,0.000171891,0.0005250906,0.0003326832,0.0003004209,0.0006025249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320244,"about_ca_system_score_gemma":0.0001175874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006100682,"about_ca_topic_score_gemma":0.0001052282,"domain_scores_codex":[0.9997125,0.00004420258,0.00001563479,0.0000665269,0.0001311897,0.00002989619],"domain_scores_gemma":[0.9997612,0.00003813857,0.00007011987,0.00004752437,0.00006750896,0.00001560027],"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":[0.0001633089,0.0000503705,0.0005920152,0.0001620589,0.00006953331,0.0002734491,0.00005013228,0.003583476,0.9574637,0.001526677,0.0006304487,0.03543478],"study_design_scores_gemma":[0.0001563761,0.003114386,0.007520976,0.00006088918,0.0003313915,0.006114429,0.0001020379,0.1502006,0.7965394,0.0009335193,0.03480259,0.0001234522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3133866,0.002387088,0.6746258,0.0002430696,0.0003870017,0.00007058112,0.0001089706,0.0009775189,0.00781334],"genre_scores_gemma":[0.8304754,0.0007488579,0.1620284,0.0001886036,0.00009862767,0.0000616605,0.000124001,0.00004513123,0.006229334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008684248,"threshold_uncertainty_score":0.002213299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376254044","doi":"10.3390/electronics12102200","title":"From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":95,"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":"Computer science; Spectral efficiency; Cellular network; Computer network; Wireless network; Key (lock); Wireless; Quality of service; Channel (broadcasting); Telecommunications; Computer security","authors":[{"name":"Ali Sufyan","is_ca":false},{"name":"Khan Bahadar Khan","is_ca":false},{"name":"Osama A. Khashan","is_ca":false},{"name":"Talha Mir","is_ca":false},{"name":"Usama Mir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02626367624759439,"gpt":0.2496195136088017,"spread":0.2233558373612073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385089,0.0005090745,0.000390385,0.001621233,0.0004763971,0.001512514,0.0004294925,0.0009930937,0.002456996],"category_scores_gemma":[0.0005457394,0.0001924134,0.0002196026,0.002350502,0.0005346169,0.003163147,0.0005743461,0.001093987,0.001111325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005578349,"about_ca_system_score_gemma":0.0007519328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389125,"about_ca_topic_score_gemma":0.001776134,"domain_scores_codex":[0.9997244,0.00006075141,0.0000220897,0.00004277813,0.0001127008,0.00003726463],"domain_scores_gemma":[0.9997228,0.0001244304,0.0000291869,0.00001244369,0.00008567553,0.00002541729],"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":[0.0000757502,0.0000874129,0.002703562,0.004071175,0.0000412788,0.0004931153,0.0004609142,0.004347633,0.003879141,0.1022206,0.05167425,0.8299453],"study_design_scores_gemma":[0.000005441856,0.0002162603,0.002634558,0.002189065,0.00003967518,0.001206377,0.000852695,0.004099301,0.0007794423,0.04006211,0.9478598,0.00005544413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006002014,0.942772,0.01287053,0.006077709,0.001828884,0.00004545748,0.0001342681,0.0001108997,0.03015831],"genre_scores_gemma":[0.03397052,0.9491271,0.005492335,0.002124852,0.001786133,0.00003377944,0.0001705633,0.00002128315,0.007273369],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002456996,"threshold_uncertainty_score":0.008219481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012667734","doi":"10.3390/electronics9030530","title":"A Two-Level Flow-Based Anomalous Activity Detection System for IoT Networks","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Botnet; Internet of Things; Network packet; Random forest; Classifier (UML); Anomaly detection; Intrusion detection system; Data mining; Subcategory; Decision tree; Flow network; Artificial intelligence; Machine learning; Precision and recall; Real-time computing; The Internet; Computer network; Embedded system; Mathematics","authors":[{"name":"Imtiaz Ullah","is_ca":true},{"name":"Qusay H. Mahmoud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01758611609394954,"gpt":0.2237796787519998,"spread":0.2061935626580503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110644,0.0009371999,0.0008240804,0.001804193,0.0006153352,0.001326708,0.001199005,0.0007316118,0.001253468],"category_scores_gemma":[0.002490174,0.0003391716,0.0007231027,0.000632942,0.0003092542,0.002091404,0.001022974,0.0009653005,0.0006486143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126598,"about_ca_system_score_gemma":0.001135232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585262,"about_ca_topic_score_gemma":0.004633646,"domain_scores_codex":[0.9990743,0.00009909079,0.00008982835,0.0002732084,0.0003694973,0.0000940606],"domain_scores_gemma":[0.9987652,0.000222792,0.0001963627,0.0001601853,0.0005643477,0.00009114262],"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":[0.00109621,0.001728449,0.08356742,0.0003314375,0.000341556,0.0008518939,0.000671219,0.1422019,0.06759888,0.01003774,0.01433077,0.6772426],"study_design_scores_gemma":[0.00001320587,0.0001342762,0.004250003,0.00001291183,0.00003126735,0.0001345018,0.00002413178,0.9855204,0.006824293,0.001670483,0.00135579,0.00002865069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07957412,0.0002027455,0.8973754,0.0004286126,0.0001077243,0.0005555587,0.0006439513,0.01903359,0.002078275],"genre_scores_gemma":[0.8038331,0.0001567264,0.1918827,0.0002370914,0.00005742543,0.000399435,0.001095417,0.0001076423,0.002230366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005585262,"threshold_uncertainty_score":0.01110548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292291434","doi":"10.3390/electronics11162557","title":"Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":90,"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":"Computer science; Job shop scheduling; Cloud computing; Scheduling (production processes); Workflow; Virtual machine; Distributed computing; Rate-monotonic scheduling; Mathematical optimization; Fair-share scheduling; Schedule; Operating system; Mathematics; Database","authors":[{"name":"Sachi Gupta","is_ca":false},{"name":"Sailesh Iyer","is_ca":false},{"name":"Gaurav Agarwal","is_ca":false},{"name":"Poongodi Manoharan","is_ca":false},{"name":"Abeer D. Algarni","is_ca":false},{"name":"Ghadah Aldehim","is_ca":false},{"name":"Kaamran Raahemifar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006721766661691908,"gpt":0.2179568641753416,"spread":0.2112350975136497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227284,0.001075404,0.001038756,0.001135227,0.0007820946,0.0009224477,0.001365702,0.0007548824,0.002155354],"category_scores_gemma":[0.002362801,0.000298557,0.0005930552,0.0008450075,0.0004722709,0.001084724,0.0006495685,0.0008896722,0.0004218718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524091,"about_ca_system_score_gemma":0.002427899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606073,"about_ca_topic_score_gemma":0.005175088,"domain_scores_codex":[0.9990596,0.0002173496,0.00006882411,0.0001754113,0.0002764475,0.0002023255],"domain_scores_gemma":[0.9992787,0.0002538262,0.00009533155,0.00009103829,0.0002132821,0.00006790989],"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":[0.0006592007,0.0004600003,0.001862678,0.0002062549,0.00009877709,0.000162232,0.0001615249,0.4544444,0.02904971,0.008070071,0.005109516,0.4997157],"study_design_scores_gemma":[0.0000739291,0.0002219967,0.000495758,0.0000077543,0.00002106816,0.00006196602,0.0000340107,0.9902484,0.005061165,0.002408185,0.001347268,0.00001843137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04986755,0.0003792806,0.9454043,0.0001668196,0.0001021126,0.0002816677,0.00006635352,0.001080186,0.002651793],"genre_scores_gemma":[0.400342,0.000233533,0.5957819,0.0001294268,0.0001019282,0.0003133156,0.000223903,0.0001414014,0.002732557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004606073,"threshold_uncertainty_score":0.009158492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214520296","doi":"10.3390/electronics11050721","title":"Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"King Saud University","keywords":"Computer science; Quantum; Artificial intelligence; Quantum machine learning; Artificial neural network; Transfer of learning; Deep learning; Feature (linguistics); Algorithm; Pattern recognition (psychology); Quantum computer; Physics; Quantum mechanics","authors":[{"name":"Tayyaba Shahwar","is_ca":false},{"name":"Junaid Zafar","is_ca":false},{"name":"Ahmad Almogren","is_ca":false},{"name":"Haroon Zafar","is_ca":false},{"name":"Ateeq Ur Rehman","is_ca":false},{"name":"Muhammad Shafiq","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008863171803042084,"gpt":0.2296595106189637,"spread":0.2207963388159216,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007452076,0.0003851844,0.0003938083,0.0004387957,0.0003321964,0.0005222303,0.0009635024,0.0006489875,0.001080217],"category_scores_gemma":[0.001209423,0.0003072157,0.0003765682,0.0003297117,0.0006138646,0.001185537,0.0006655824,0.0004859229,0.0001811015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008459315,"about_ca_system_score_gemma":0.0005925188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375708,"about_ca_topic_score_gemma":0.004826915,"domain_scores_codex":[0.9997813,0.00006256196,0.000008197129,0.00005716521,0.00005804096,0.0000326753],"domain_scores_gemma":[0.9997445,0.0001096197,0.00003452929,0.00004428459,0.00005139474,0.00001565052],"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":[0.0003955491,0.0002257047,0.0056588,0.0001077575,0.000154527,0.0002826664,0.0001217541,0.8072587,0.03160841,0.02191684,0.002257422,0.130012],"study_design_scores_gemma":[0.000004536628,0.00001700776,0.0002689297,0.000001911381,0.000004470002,0.00001553541,0.000003461312,0.9944719,0.002240365,0.002815451,0.0001509933,0.000005407372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3987109,0.0006448613,0.5919466,0.0009243966,0.00007781642,0.00007652814,0.0002019207,0.00183735,0.00557963],"genre_scores_gemma":[0.9387707,0.0001065962,0.05966299,0.0001412604,0.00002029134,0.00004170734,0.00009023144,0.00003014039,0.001136074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00375708,"threshold_uncertainty_score":0.007470429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310378994","doi":"10.3390/electronics11233960","title":"The Role of ML, AI and 5G Technology in Smart Energy and Smart Building Management","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Internet of Things; Computer science; Context (archaeology); Building automation; Installation; Focus (optics); Computer security; Component (thermodynamics); Smart grid; Home automation; Smart environment; The Internet; Smart objects; Architectural engineering; World Wide Web; Telecommunications; Engineering","authors":[{"name":"Tehseen Mazhar","is_ca":false},{"name":"Muhammad Amir Malik","is_ca":false},{"name":"Inayatul Haq","is_ca":false},{"name":"Iram Rozeela","is_ca":false},{"name":"Inam Ullah","is_ca":false},{"name":"Muhammad Abbas Khan","is_ca":false},{"name":"Deepak Adhikari","is_ca":false},{"name":"Mohamed Tahar Ben Othman","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002463355676061752,"gpt":0.1926097895718644,"spread":0.1901464338958027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935653,0.0003788193,0.000267918,0.0009169556,0.0005095809,0.002774622,0.0006200768,0.001221505,0.003712686],"category_scores_gemma":[0.0009931939,0.0001795519,0.0002255477,0.001387289,0.001747565,0.003996361,0.00114622,0.001596259,0.001017933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660445,"about_ca_system_score_gemma":0.0005972022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687201,"about_ca_topic_score_gemma":0.001414662,"domain_scores_codex":[0.9996383,0.00009918361,0.00001574821,0.00006502109,0.0001340817,0.00004767012],"domain_scores_gemma":[0.9993528,0.0003166612,0.00007394465,0.00007522961,0.0001235215,0.00005787108],"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":[0.00009190826,0.00007902107,0.0038703,0.0005677763,0.00004573686,0.0005034767,0.0005793542,0.009628683,0.008229122,0.5629965,0.01753727,0.3958709],"study_design_scores_gemma":[0.00001465175,0.0002926357,0.006262211,0.0008411909,0.00006700162,0.001287727,0.001128123,0.04937803,0.0072204,0.407811,0.5255799,0.000117053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.04872997,0.2390545,0.29197,0.03662331,0.003889866,0.0001210329,0.0003948493,0.0008687695,0.3783477],"genre_scores_gemma":[0.7694203,0.1144792,0.07292502,0.004196407,0.003911043,0.00008025609,0.0002022873,0.0000972436,0.03468827],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003712686,"threshold_uncertainty_score":0.01242018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995174361","doi":"10.3390/electronics3010043","title":"Integration of Organic Light Emitting Diodes and Organic Photodetectors for Lab-on-a-Chip Bio-Detection Systems","year":2014,"lang":"en","type":"article","venue":"Electronics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"OLED; Photodetector; Materials science; Microfluidics; Optoelectronics; Nanotechnology; Electronics; Diode; Light-emitting diode; Chip; Computer science; Telecommunications; Electrical engineering; Engineering","authors":[{"name":"Graeme Williams","is_ca":true},{"name":"C. Backhouse","is_ca":true},{"name":"Hany Aziz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006143334716590605,"gpt":0.2025918866367812,"spread":0.1964485519201906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000560069,0.000558728,0.0005752624,0.0005177652,0.0001615771,0.0009721827,0.0007968791,0.001133767,0.001334353],"category_scores_gemma":[0.0005389623,0.0004772866,0.0004494675,0.0004666823,0.0002572935,0.001531622,0.0005757737,0.001090293,0.001042309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654761,"about_ca_system_score_gemma":0.0003759721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002141075,"about_ca_topic_score_gemma":0.0003342509,"domain_scores_codex":[0.9994357,0.00007289079,0.0000494999,0.0001297522,0.0002550591,0.00005703868],"domain_scores_gemma":[0.9998087,0.00008294982,0.00002221029,0.00001527954,0.00006025263,0.00001054281],"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":[0.00009056406,0.0001567674,0.0004966186,0.006527197,0.0001595972,0.0006555222,0.0001514193,0.002962387,0.602267,0.05184282,0.004815769,0.3298744],"study_design_scores_gemma":[0.00002614208,0.0005238131,0.001080046,0.0004775918,0.0001703555,0.001889401,0.0000797377,0.007224376,0.4551162,0.0087226,0.5246066,0.00008322606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03438466,0.7253275,0.2018941,0.001409628,0.001504807,0.0002078327,0.0002966805,0.0005343499,0.03444042],"genre_scores_gemma":[0.1838149,0.5745725,0.217373,0.001476279,0.000590242,0.0004228451,0.000519047,0.00008443034,0.02114686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001334353,"threshold_uncertainty_score":0.004463792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402202846","doi":"10.3390/electronics13173497","title":"Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick; University of Windsor","funders":"","keywords":"Cyber-physical system; Manufacturing engineering; Engineering; Survey research; Systems engineering; Computer science; Business; Operating system","authors":[{"name":"Sajad Moosavi","is_ca":true},{"name":"Maryam Farajzadeh-Zanjani","is_ca":true},{"name":"Roozbeh Razavi‐Far","is_ca":true},{"name":"Vasile Palade","is_ca":false},{"name":"Mehrdad Saif","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03465311982436982,"gpt":0.2814104456320202,"spread":0.2467573258076504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002072274,0.0008848247,0.0007785317,0.00510387,0.0006677452,0.003135578,0.001343583,0.001500311,0.00392619],"category_scores_gemma":[0.004709327,0.0003766465,0.0008111827,0.006030577,0.002520236,0.005035077,0.001420274,0.002119788,0.0006193151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704534,"about_ca_system_score_gemma":0.001740311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178189,"about_ca_topic_score_gemma":0.001787758,"domain_scores_codex":[0.9988967,0.0004014393,0.0001127679,0.0001340762,0.0003944282,0.00006055749],"domain_scores_gemma":[0.9929715,0.005940645,0.0002657775,0.0003648006,0.0003779748,0.00007937409],"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":[0.00003018269,0.0001245283,0.004123806,0.009042465,0.0001776753,0.0004680254,0.001812347,0.01068788,0.0008060602,0.474329,0.008874912,0.4895232],"study_design_scores_gemma":[0.00001376177,0.0001274776,0.005794337,0.004475331,0.00009992116,0.001260675,0.001605463,0.01591963,0.001160491,0.4793582,0.4900994,0.0000852743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009538959,0.8088996,0.1175795,0.008729032,0.0005301901,0.0001143769,0.0001762877,0.0001970988,0.05423496],"genre_scores_gemma":[0.1181699,0.8303871,0.0434834,0.001524487,0.001109867,0.0001765725,0.0004248499,0.00007179153,0.004652025],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00510387,"threshold_uncertainty_score":0.01313442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946053252","doi":"10.3390/electronics8050540","title":"Congestion Control in V2V Safety Communication: Problem, Analysis, Approaches","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Vehicular ad hoc network; Network congestion; Computer network; Packet loss; Intelligent transportation system; Traffic congestion; Vehicle-to-vehicle; Network packet; Wireless ad hoc network; Latency (audio); Key (lock); Low latency (capital markets); Control (management); Wireless; Computer security; Transport engineering; Engineering; Telecommunications","authors":[{"name":"Xiaofeng Liu","is_ca":true},{"name":"Arunita Jaekel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006108521724911168,"gpt":0.1815055195940821,"spread":0.175396997869171,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003065729,0.001420877,0.001622164,0.002640437,0.00118707,0.003548233,0.002938329,0.002235578,0.001583735],"category_scores_gemma":[0.006432017,0.0007630537,0.0009809143,0.003056002,0.002681872,0.004960999,0.001618866,0.002010261,0.0001699756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990893,"about_ca_system_score_gemma":0.001766702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071203,"about_ca_topic_score_gemma":0.005081525,"domain_scores_codex":[0.9984316,0.0006001671,0.0000885873,0.0002750009,0.0004292878,0.0001753251],"domain_scores_gemma":[0.9962325,0.002694915,0.0002919975,0.0001035738,0.0005550182,0.0001220109],"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":[0.00005064453,0.0001206432,0.001680804,0.0005547626,0.0001126767,0.0002073675,0.0002350675,0.7203808,0.000605255,0.2147798,0.006231992,0.05504017],"study_design_scores_gemma":[0.000009045982,0.00005241171,0.0003400925,0.00008857606,0.00002873371,0.00008862075,0.0001765582,0.9116311,0.0002473157,0.08199653,0.005307384,0.0000335369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01408657,0.03656955,0.9297366,0.004396594,0.0005959877,0.0002168053,0.0001437376,0.0001321982,0.01412201],"genre_scores_gemma":[0.7658044,0.06331463,0.1554206,0.0008264587,0.003508024,0.0004988568,0.000282743,0.0001338721,0.01021047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01071203,"threshold_uncertainty_score":0.0217005,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210552504","doi":"10.3390/electronics11030435","title":"A Review of Machine Learning Techniques in Analog Integrated Circuit Design Automation","year":2022,"lang":"en","type":"review","venue":"Electronics","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario","funders":"","keywords":"Computer science; Automation; Electronic design automation; Integrated circuit; Mixed-signal integrated circuit; State (computer science); Circuit design; Task (project management); Analogue electronics; Sizing; Electronic engineering; Computer architecture; Electronic circuit; Computer engineering; Engineering; Systems engineering; Electrical engineering; Embedded system","authors":[{"name":"Rayan Mina","is_ca":false},{"name":"Chadi Jabbour","is_ca":false},{"name":"George E. Sakr","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04764037744193229,"gpt":0.3001228853426273,"spread":0.252482507900695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007325012,0.001028896,0.0009925077,0.002258764,0.0003081726,0.001070632,0.0009990418,0.0009428487,0.005076708],"category_scores_gemma":[0.00153812,0.0005148712,0.0007274564,0.004063189,0.0004175585,0.001751017,0.0004956833,0.001366829,0.002914911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208419,"about_ca_system_score_gemma":0.0009561103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009387222,"about_ca_topic_score_gemma":0.001116882,"domain_scores_codex":[0.9995736,0.0000655215,0.00006234647,0.00008929306,0.0001833988,0.00002577828],"domain_scores_gemma":[0.9989595,0.0006375803,0.00007496973,0.00004234865,0.0002599347,0.00002559084],"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":[0.00003654874,0.0000922926,0.0002814528,0.01502145,0.00009130657,0.0001327607,0.00007522487,0.00329996,0.002458515,0.01405762,0.01895591,0.945497],"study_design_scores_gemma":[0.000009595725,0.0001874529,0.0008342423,0.004568586,0.0001409889,0.0007721512,0.00006421383,0.003559855,0.003135922,0.00895993,0.9777128,0.00005424556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005977553,0.9808452,0.01125033,0.0004137644,0.00047647,0.00002519989,0.00007396453,0.00007364877,0.006243541],"genre_scores_gemma":[0.00497543,0.9816535,0.009213714,0.000286398,0.0006008443,0.00003458398,0.0001417623,0.00001958276,0.00307405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005076708,"threshold_uncertainty_score":0.01698327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366283699","doi":"10.3390/electronics12081901","title":"Security and Internet of Things: Benefits, Challenges, and Future Perspectives","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Canada West","funders":"","keywords":"Computer security; Internet of Things; Vulnerability (computing); Computer science; Authorization; Authentication (law); Secrecy; Internet privacy; Business","authors":[{"name":"Hamed Taherdoost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01120349233772651,"gpt":0.2220588969907432,"spread":0.2108554046530167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00282674,0.0007316766,0.0009040845,0.001911575,0.001271692,0.004656544,0.0009418341,0.005003042,0.005857203],"category_scores_gemma":[0.002044177,0.0002995278,0.0007104665,0.002522326,0.003134013,0.01027245,0.002050401,0.004991277,0.001167138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448724,"about_ca_system_score_gemma":0.003617952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111991,"about_ca_topic_score_gemma":0.002288447,"domain_scores_codex":[0.9989519,0.0003400673,0.00005643577,0.0001225048,0.0003818996,0.0001471699],"domain_scores_gemma":[0.9966131,0.001779461,0.0002103009,0.00008723338,0.0008669154,0.0004429857],"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":[0.0001338275,0.000203716,0.001338011,0.007525341,0.0000678347,0.0009555462,0.0009497988,0.001731936,0.001728322,0.2984719,0.07311414,0.6137795],"study_design_scores_gemma":[0.00001639892,0.0002922971,0.001548852,0.009380453,0.00005872645,0.001746845,0.005170435,0.002158703,0.0004642326,0.2322276,0.7468402,0.00009533027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00154624,0.9233404,0.002434952,0.05710768,0.002554214,0.00001436499,0.00003730418,0.0000318714,0.01293287],"genre_scores_gemma":[0.01879304,0.9655979,0.002423567,0.006502937,0.004027057,0.00002823214,0.0000399025,0.000008987301,0.002578421],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005857203,"threshold_uncertainty_score":0.01959431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3168566563","doi":"10.3390/electronics10111357","title":"Autonomous Haulage Systems in the Mining Industry: Cybersecurity, Communication and Safety Issues and Challenges","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Suncor Energy (Canada)","funders":"Prince Sattam bin Abdulaziz University","keywords":"Haulage; SAFER; Cyber-physical system; Global Positioning System; State (computer science); Computer security; Truck; Mining industry; Computer science; Engineering; Risk analysis (engineering); Telecommunications; Business; Mining engineering","authors":[{"name":"Tarek Gaber","is_ca":false},{"name":"Yassine El Jazouli","is_ca":true},{"name":"Esraa Eldesouky","is_ca":false},{"name":"Ahmed Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1003651797320072,"gpt":0.4355956315423603,"spread":0.3352304518103531,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197376,0.0005508497,0.0005279384,0.0009894619,0.001343913,0.003261268,0.001049487,0.003253372,0.00190067],"category_scores_gemma":[0.002297444,0.0003099479,0.0004437006,0.001154471,0.001617895,0.005816479,0.002031152,0.002324836,0.0005556889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009707078,"about_ca_system_score_gemma":0.001408836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047039,"about_ca_topic_score_gemma":0.001556793,"domain_scores_codex":[0.9989468,0.0003006939,0.00006704116,0.0001599665,0.0003993603,0.0001260211],"domain_scores_gemma":[0.9972267,0.001603982,0.0003163846,0.0001189565,0.0006018056,0.0001322981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001135501,0.0001702432,0.01128857,0.004314943,0.0001469009,0.002139265,0.002324745,0.04417252,0.005963488,0.376532,0.03033252,0.5225013],"study_design_scores_gemma":[0.00002052407,0.0004064273,0.009545503,0.003165553,0.000159117,0.004017371,0.0110663,0.1574781,0.006053886,0.3604213,0.4474307,0.0002352945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09718778,0.4389775,0.2834291,0.08864393,0.003777213,0.0002370024,0.0002813946,0.0004866195,0.08697953],"genre_scores_gemma":[0.7267641,0.2252978,0.02915692,0.004488234,0.002783779,0.0001433411,0.0002525988,0.00004796196,0.01106519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003261268,"threshold_uncertainty_score":0.007043004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226436956","doi":"10.3390/electronics11071126","title":"Forensic Analysis on Internet of Things (IoT) Device Using Machine-to-Machine (M2M) Framework","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University; New Brunswick Innovation Foundation","keywords":"Computer science; Internet of Things; Machine learning; Decision tree; Artificial intelligence; Precision and recall; Computer security; Power analysis; Tree (set theory); Data mining; Cryptography","authors":[{"name":"Muhammad Shoaib Mazhar","is_ca":false},{"name":"Yasir Saleem","is_ca":false},{"name":"Ahmad Almogren","is_ca":false},{"name":"Jehangir Arshad","is_ca":false},{"name":"Mujtaba Hussain Jaffery","is_ca":false},{"name":"Ateeq Ur Rehman","is_ca":false},{"name":"Muhammad Shafiq","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.011207347654077,"gpt":0.2505500886834811,"spread":0.2393427410294041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257474,0.0005475002,0.0006347077,0.002214312,0.000547438,0.001172353,0.0006957799,0.000884308,0.0008188729],"category_scores_gemma":[0.002684787,0.0001468491,0.0007258654,0.0008712258,0.0004567837,0.001609344,0.0009185423,0.0004557136,0.0003411456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299658,"about_ca_system_score_gemma":0.0008110969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008141653,"about_ca_topic_score_gemma":0.000710252,"domain_scores_codex":[0.9990608,0.0003236394,0.00007473433,0.0001263934,0.0003226401,0.00009174621],"domain_scores_gemma":[0.9989399,0.0003766628,0.0002164515,0.0002043617,0.0002313633,0.00003122723],"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":[0.0003662306,0.0003695117,0.01306136,0.0005254032,0.0002117231,0.002666508,0.0004291227,0.183868,0.0519657,0.04712962,0.005890068,0.6935169],"study_design_scores_gemma":[0.00001043889,0.0001339561,0.002958019,0.0000617548,0.00003839086,0.001389146,0.0001834856,0.9391426,0.03242909,0.01835394,0.005264938,0.00003416231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0479381,0.0004437466,0.9465724,0.0003019159,0.00004684246,0.0001589335,0.0001889771,0.001849744,0.002499381],"genre_scores_gemma":[0.6646471,0.0006403278,0.3325757,0.000112998,0.00005804578,0.000119934,0.0004088259,0.00005456267,0.001382411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002214312,"threshold_uncertainty_score":0.006650269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094100206","doi":"10.3390/electronics9111753","title":"Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Cloud computing; Telemedicine; Computer science; Edge computing; Internet of Things; Big data; Low latency (capital markets); Enhanced Data Rates for GSM Evolution; Health care; Real-time computing; Computer network; Telecommunications; Computer security; Data mining; Operating system","authors":[{"name":"Yangan Zhang","is_ca":false},{"name":"Guichen Chen","is_ca":false},{"name":"Hang Du","is_ca":false},{"name":"Xueguang Yuan","is_ca":false},{"name":"Michel Kadoch","is_ca":true},{"name":"Mohamed Cheriet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01338251606914824,"gpt":0.2323399845372449,"spread":0.2189574684680966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002154388,0.0003460752,0.0005509444,0.000353952,0.0003560472,0.000373503,0.0004928772,0.0005328163,0.002802658],"category_scores_gemma":[0.0002550084,0.0001242601,0.0002311871,0.0002039856,0.0001303046,0.0004386308,0.0004358856,0.0002480714,0.0005066958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192673,"about_ca_system_score_gemma":0.0001675136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070084,"about_ca_topic_score_gemma":0.0008585754,"domain_scores_codex":[0.9997771,0.00003703767,0.0000194062,0.00006963625,0.00006401734,0.00003280837],"domain_scores_gemma":[0.9998896,0.00002225491,0.00001232484,0.00001626938,0.00004092017,0.00001864155],"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":[0.00318097,0.00092808,0.03770838,0.0007947561,0.0003043139,0.007551047,0.0008526123,0.04846084,0.3770216,0.0093823,0.04662205,0.467193],"study_design_scores_gemma":[0.0003831187,0.001258017,0.02784203,0.00009024923,0.0002408763,0.004027884,0.0002215107,0.8797771,0.06305227,0.002880391,0.02010443,0.0001221608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104181,0.002085306,0.4246756,0.00229467,0.0009621283,0.0005474994,0.000985131,0.01696682,0.04106482],"genre_scores_gemma":[0.9814052,0.0001759387,0.01461645,0.0003591882,0.00007318321,0.00007157052,0.0002302593,0.00002805515,0.003040074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002802658,"threshold_uncertainty_score":0.00937587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3176784316","doi":"10.3390/electronics10121501","title":"A New RBF Neural Network-Based Fault-Tolerant Active Control for Fractional Time-Delayed Systems","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Taif University","keywords":"Control theory (sociology); Memristor; Artificial neural network; Synchronization (alternating current); Actuator; Lyapunov stability; Computer science; Fault (geology); Fault tolerance; Nonlinear system; Estimator; Stability (learning theory); Control system; Control engineering; Control (management); Engineering; Mathematics; Artificial intelligence; Electronic engineering; Distributed computing","authors":[{"name":"Bo Wang","is_ca":false},{"name":"Hadi Jahanshahi","is_ca":true},{"name":"Christos Volos","is_ca":false},{"name":"Stelios Bekiros","is_ca":false},{"name":"Muhammad Altaf Khan","is_ca":false},{"name":"Praveen Agarwal","is_ca":false},{"name":"Ayman A. Aly","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008240424354759602,"gpt":0.2269146885207417,"spread":0.2186742641659821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530637,0.000518491,0.0005539028,0.000291043,0.0003221345,0.0005727166,0.001105456,0.0007978057,0.0008406886],"category_scores_gemma":[0.000601489,0.0001880476,0.000420667,0.0002860293,0.0003865233,0.000622806,0.0004278932,0.000544794,0.0001212764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003748942,"about_ca_system_score_gemma":0.0003577206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442978,"about_ca_topic_score_gemma":0.002089313,"domain_scores_codex":[0.9997675,0.00003710527,0.00001767783,0.00006904308,0.00008342891,0.00002528507],"domain_scores_gemma":[0.9998367,0.00003705097,0.00003492337,0.00001134799,0.00007104027,0.00000893368],"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":[0.0003852639,0.000125205,0.0008534747,0.0004248797,0.000133203,0.0002834112,0.0002449923,0.6745431,0.07292189,0.017001,0.001341099,0.2317424],"study_design_scores_gemma":[0.0000135262,0.00006407602,0.0001130117,0.000008506274,0.00001306303,0.00002694106,0.000003855245,0.9964986,0.002201812,0.0004044276,0.0006453803,0.000006658891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02427067,0.0008349051,0.9716318,0.0001172995,0.000114633,0.00002945867,0.00001794731,0.0002581871,0.002725194],"genre_scores_gemma":[0.9322686,0.0005064117,0.06421626,0.00008570909,0.00006340806,0.0000860896,0.00003723372,0.00001689997,0.002719297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003442978,"threshold_uncertainty_score":0.006845891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2929540326","doi":"10.3390/electronics8040407","title":"Frequency and Pattern Reconfigurable Antenna for Emerging Wireless Communication Systems","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"National Research Foundation of Korea","keywords":"Reconfigurability; Reconfigurable antenna; Antenna (radio); Antenna measurement; Electrical engineering; Antenna factor; Omnidirectional antenna; Physics; Coaxial antenna; Computer science; Telecommunications; Engineering","authors":[{"name":"Amjad Iqbal","is_ca":false},{"name":"Amor Smida","is_ca":false},{"name":"Nazih Khaddaj Mallat","is_ca":false},{"name":"Ridha Ghayoula","is_ca":true},{"name":"Issa Elfergani","is_ca":false},{"name":"Jonathan Rodrı́guez","is_ca":false},{"name":"Sunghwan Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007728480874651466,"gpt":0.2049374488421286,"spread":0.1972089679674771,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006668485,0.0002393432,0.0001787337,0.0001789947,0.00008350702,0.0004176473,0.0004066694,0.0003897766,0.001430471],"category_scores_gemma":[0.0001659269,0.00009996244,0.000223877,0.0002267645,0.0001359974,0.0002604676,0.0001977214,0.0002923311,0.0009972778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894342,"about_ca_system_score_gemma":0.00009448154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007535311,"about_ca_topic_score_gemma":0.0001197473,"domain_scores_codex":[0.999908,0.00001714655,0.000004729393,0.00002178835,0.00003355451,0.00001471861],"domain_scores_gemma":[0.9998825,0.00002122547,0.0000325287,0.00003084079,0.00002382569,0.000009130964],"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":[0.0001257238,0.00005428064,0.000918847,0.0001362285,0.0000292238,0.0002612732,0.00003745217,0.01211058,0.8388317,0.01281149,0.002888154,0.1317951],"study_design_scores_gemma":[0.00006285882,0.001277686,0.007161472,0.00005244779,0.00007658806,0.003650233,0.00006963161,0.2284824,0.6526257,0.007533294,0.09891891,0.00008886387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2111595,0.002492675,0.7384666,0.000626047,0.0005875491,0.00005773169,0.0001735354,0.001649609,0.04478683],"genre_scores_gemma":[0.848035,0.0007062965,0.1346235,0.0002384616,0.000119518,0.00006177268,0.0001326653,0.00006810721,0.01601461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001430471,"threshold_uncertainty_score":0.004785419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3202541459","doi":"10.3390/electronics10192419","title":"Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"King Saud University","keywords":"Maximum power point tracking; Photovoltaic system; Maximum power principle; Sorting; Computer science; Power (physics); Heuristic; Mathematical optimization; Control theory (sociology); Point (geometry); Mathematics; Algorithm; Engineering; Artificial intelligence; Electrical engineering; Control (management)","authors":[{"name":"Preeti Verma","is_ca":false},{"name":"Afroz Alam","is_ca":false},{"name":"Adil Sarwar","is_ca":false},{"name":"Mohd Tariq","is_ca":false},{"name":"Hani Vahedi","is_ca":true},{"name":"Deeksha Gupta","is_ca":false},{"name":"Shafiq Ahmad","is_ca":false},{"name":"Adamali Shah Noor Mohamed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02139744812999019,"gpt":0.2608411203767364,"spread":0.2394436722467462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993319,0.0009358043,0.0008153318,0.001096695,0.0004716365,0.001098122,0.000867042,0.000935061,0.001889864],"category_scores_gemma":[0.001254247,0.0005111824,0.001050639,0.001254618,0.0003872453,0.0005626627,0.0004692634,0.0007919073,0.00030308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813555,"about_ca_system_score_gemma":0.001046742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004709213,"about_ca_topic_score_gemma":0.004550955,"domain_scores_codex":[0.9996998,0.0001280916,0.00002067696,0.00003946789,0.00007737814,0.00003458769],"domain_scores_gemma":[0.9997309,0.000153406,0.00004157978,0.00001520515,0.00004854678,0.00001039443],"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":[0.00002887048,0.0000267258,0.0003108256,0.0001318993,0.00006497098,0.00006414751,0.00003896402,0.9643708,0.000858195,0.004771355,0.0005703594,0.02876299],"study_design_scores_gemma":[0.00001158881,0.00004266015,0.0001306376,0.00003799831,0.00002256886,0.00002669515,0.00002355454,0.9951662,0.000553747,0.002550076,0.001427675,0.000006646817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03343485,0.003831547,0.9443884,0.0003963076,0.0001241092,0.0002184142,0.000148568,0.0003369554,0.01712095],"genre_scores_gemma":[0.5973659,0.003246639,0.3920035,0.0001826944,0.0000827506,0.0006119823,0.0002286496,0.0001279933,0.006149864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004709213,"threshold_uncertainty_score":0.009363592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039796586","doi":"10.3390/electronics4010173","title":"E-textiles in Clinical Rehabilitation: A Scoping Review","year":2015,"lang":"en","type":"review","venue":"Electronics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rehabilitation; Textile; Quality (philosophy); Computer science; Focus (optics); Systems engineering; Engineering; Risk analysis (engineering); Medicine; Physical therapy","authors":[{"name":"Amanda Fleury","is_ca":true},{"name":"Maddy Sugar","is_ca":true},{"name":"Tom Chau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06423497060861096,"gpt":0.3974484823807732,"spread":0.3332135117721622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003392013,0.001140911,0.002285867,0.008072653,0.0006347627,0.002435043,0.001213947,0.002153958,0.006412243],"category_scores_gemma":[0.008008019,0.0005182415,0.002013484,0.006567848,0.0007536404,0.002224972,0.00144621,0.001402295,0.001317766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091898,"about_ca_system_score_gemma":0.004764825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603299,"about_ca_topic_score_gemma":0.004841456,"domain_scores_codex":[0.9986153,0.0003335845,0.0004512959,0.0001391492,0.0003964105,0.00006424711],"domain_scores_gemma":[0.9932429,0.004984603,0.0006228015,0.0001120501,0.0009413762,0.0000961635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006682735,0.00006352444,0.000208264,0.2418442,0.0002913578,0.0001517819,0.0002321393,0.0002274826,0.0005769397,0.002525191,0.01219795,0.7416144],"study_design_scores_gemma":[0.0000242584,0.0001852231,0.00136743,0.4060594,0.001533594,0.001082056,0.0004519759,0.000144675,0.0006635931,0.002311946,0.5861325,0.00004342178],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007183513,0.999042,0.00009794046,0.0001663805,0.0001059993,0.00001878992,0.00002144044,0.00000295789,0.0004726019],"genre_scores_gemma":[0.0005644373,0.9987728,0.0002263074,0.0001268742,0.00005996658,0.00002790993,0.0000255759,0.000001563615,0.0001945726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008072653,"threshold_uncertainty_score":0.02145106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3159649365","doi":"10.3390/electronics10091077","title":"Integration and Applications of Fog Computing and Cloud Computing Based on the Internet of Things for Provision of Healthcare Services at Home","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"Taif University","keywords":"Cloud computing; Computer science; Edge computing; The Internet; Health care; Implementation; Quality (philosophy); Data science; World Wide Web; Software engineering; Operating system","authors":[{"name":"Muhammad Ijaz","is_ca":false},{"name":"Gang Li","is_ca":false},{"name":"Ling Lin","is_ca":false},{"name":"Omar Cheikhrouhou","is_ca":false},{"name":"Habib Hamam","is_ca":true},{"name":"Alam Noor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009514508994869641,"gpt":0.2547215862483679,"spread":0.2452070772534983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008536702,0.0002694817,0.0003405304,0.001827651,0.0004081398,0.001325604,0.0004177608,0.0005321806,0.001136581],"category_scores_gemma":[0.001344742,0.0001309321,0.0007265146,0.00173026,0.0003539021,0.001299424,0.0007755495,0.0005621521,0.0002292307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758246,"about_ca_system_score_gemma":0.001288877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535449,"about_ca_topic_score_gemma":0.00280644,"domain_scores_codex":[0.9994841,0.0001532585,0.00005893565,0.00004874953,0.0002055566,0.00004942507],"domain_scores_gemma":[0.9994465,0.0002879469,0.00004966727,0.00003315113,0.0001503825,0.0000324284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002012922,0.0001882431,0.007385725,0.009560258,0.0004786837,0.002176405,0.0008325938,0.0058911,0.01486517,0.0693521,0.01630467,0.8727636],"study_design_scores_gemma":[0.0001090123,0.00119242,0.02722051,0.009170805,0.001169487,0.005477885,0.003369411,0.03819609,0.02082196,0.1239092,0.7691323,0.0002308401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0886687,0.4194612,0.2136193,0.0158895,0.005093834,0.001054739,0.000908628,0.0006587231,0.2546455],"genre_scores_gemma":[0.5937388,0.2657115,0.1260547,0.002904489,0.001500768,0.000342632,0.000740727,0.00006139136,0.008945028],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001827651,"threshold_uncertainty_score":0.004514694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907812233","doi":"10.3390/electronics8010065","title":"A Uniform Architecture Design for Accelerating 2D and 3D CNNs on FPGAs","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":64,"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":"National Key Research and Development Program of China; National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Computer science; Field-programmable gate array; Convolutional neural network; Hardware acceleration; Computation; Parallel computing; Chip; Design space exploration; Matrix (chemical analysis); Feature (linguistics); Computer architecture; Computational science; Computer hardware; Artificial intelligence; Embedded system; Algorithm","authors":[{"name":"Zhiqiang Liu","is_ca":false},{"name":"Paul Chow","is_ca":true},{"name":"Jinwei Xu","is_ca":false},{"name":"Jingfei Jiang","is_ca":false},{"name":"Yong Dou","is_ca":false},{"name":"Jie Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02291851306738576,"gpt":0.2623772270853668,"spread":0.2394587140179811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705103,0.0005992297,0.0002798105,0.0005106571,0.0002556501,0.0004089091,0.001070251,0.0003024695,0.004692473],"category_scores_gemma":[0.0004142227,0.0002730435,0.0003969538,0.0004362949,0.0001941609,0.0007764694,0.0004966408,0.0004423228,0.0008920187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531,"about_ca_system_score_gemma":0.0007548508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003003032,"about_ca_topic_score_gemma":0.004674622,"domain_scores_codex":[0.9998123,0.00001639074,0.00001712682,0.00004479307,0.00006721915,0.00004214232],"domain_scores_gemma":[0.9998503,0.00001950525,0.0000192564,0.00003336972,0.00006129595,0.00001626697],"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":[0.0006159135,0.0001733274,0.003837801,0.0006748912,0.0001781019,0.0006472338,0.0002118376,0.1927805,0.2298953,0.03732234,0.02849342,0.5051693],"study_design_scores_gemma":[0.0001503406,0.0007317635,0.002175841,0.00005390633,0.0000893273,0.0004843849,0.00006720353,0.8513817,0.1033553,0.00449897,0.03695022,0.00006106266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1093478,0.001103141,0.8595479,0.0003014867,0.0003130508,0.0002120002,0.0003681755,0.009046978,0.01975947],"genre_scores_gemma":[0.5766027,0.0004294358,0.4138604,0.0003393031,0.00005200047,0.0003508909,0.0007679988,0.0002133736,0.007383871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004692473,"threshold_uncertainty_score":0.01569784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402447701","doi":"10.3390/electronics13183601","title":"Machine Learning-Based Intrusion Detection Methods in IoT Systems: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Intrusion detection system; Pace; Computer science; Internet of Things; Flexibility (engineering); Artificial intelligence; Machine learning; Computer security; Data science","authors":[{"name":"Brunel Rolack Kikissagbe","is_ca":true},{"name":"Meddi Adda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03614375103758181,"gpt":0.3556933869141664,"spread":0.3195496358765845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252398,0.001074896,0.001363008,0.002889012,0.0002962826,0.001191147,0.001102924,0.001171283,0.003211451],"category_scores_gemma":[0.002722351,0.0004930292,0.001007743,0.003242149,0.0004114315,0.002022052,0.0006562537,0.001204122,0.001528185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406438,"about_ca_system_score_gemma":0.00160796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463565,"about_ca_topic_score_gemma":0.001718867,"domain_scores_codex":[0.9995112,0.00008384169,0.00007802051,0.00008772584,0.000206785,0.00003243752],"domain_scores_gemma":[0.9984123,0.001021905,0.0001390774,0.00004012505,0.0003479013,0.00003867155],"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":[0.00003286559,0.00007771072,0.0004197678,0.02191584,0.0001407608,0.0001138088,0.00008374006,0.00184315,0.0008267051,0.004764236,0.01963047,0.9501508],"study_design_scores_gemma":[0.00001409275,0.0002189417,0.001585634,0.01367006,0.0005062722,0.001034975,0.0001213226,0.002560508,0.001431113,0.005930915,0.9728506,0.000075606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002434931,0.9961227,0.001701931,0.0002896807,0.0002190463,0.00001568154,0.000028837,0.0000262628,0.001352407],"genre_scores_gemma":[0.001727727,0.9959008,0.001418246,0.0001673621,0.0002162974,0.0000173482,0.00005521374,0.000006156352,0.0004907628],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003211451,"threshold_uncertainty_score":0.01074332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361009208","doi":"10.3390/electronics12071558","title":"Reviewing Multimodal Machine Learning and Its Use in Cardiovascular Diseases Detection","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Cegep de Sept Iles; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Machine learning; Computer science; Field (mathematics); Process (computing); Workflow; Key (lock); Variety (cybernetics); Obstacle; Deep learning; Multimodal therapy; Sensor fusion; Medicine","authors":[{"name":"Mohammad Moshawrab","is_ca":true},{"name":"Mehdi Adda","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true},{"name":"Hussein Ibrahim","is_ca":true},{"name":"Ali Raad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1057668746037747,"gpt":0.4230848282736733,"spread":0.3173179536698986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051802,0.0004608907,0.0005062623,0.001928303,0.0002480964,0.000911141,0.0005455363,0.001109701,0.002485658],"category_scores_gemma":[0.002454108,0.0002398009,0.0004424164,0.00210291,0.0004676373,0.00125938,0.0003766341,0.0009395012,0.001219627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008035,"about_ca_system_score_gemma":0.0008239606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274289,"about_ca_topic_score_gemma":0.00150363,"domain_scores_codex":[0.9995891,0.0001228512,0.00006063565,0.00007967663,0.0001248829,0.0000227496],"domain_scores_gemma":[0.9982229,0.001228905,0.0001083,0.00003296898,0.0003755405,0.00003135797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004934597,0.00005417961,0.001098842,0.0116132,0.0001301078,0.0003446234,0.0002295524,0.002919542,0.003064759,0.01924325,0.04279718,0.9184554],"study_design_scores_gemma":[0.000004917626,0.0002853616,0.003760336,0.007249709,0.0001909641,0.002179876,0.0001923479,0.003812925,0.003420465,0.009272869,0.96957,0.00006025416],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001212668,0.9761783,0.01137989,0.00191466,0.001184966,0.00002427866,0.0000582136,0.00003994736,0.008006893],"genre_scores_gemma":[0.01160827,0.975,0.006166956,0.001491667,0.002596739,0.00003664523,0.0001268339,0.0000203148,0.00295258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002485658,"threshold_uncertainty_score":0.008315384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212921244","doi":"10.3390/electronics11040562","title":"Power Electronics Converter Technology Integrated Energy Storage Management in Electric Vehicles: Emerging Trends, Analytical Assessment and Future Research Opportunities","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Universiti Kebangsaan Malaysia","keywords":"Energy storage; Converters; Power electronics; Power management; Battery (electricity); Engineering; Energy management; Controller (irrigation); Computer science; Power (physics); Reliability engineering; Automotive engineering; Electrical engineering; Systems engineering; Voltage; Energy (signal processing)","authors":[{"name":"Molla Shahadat Hossain Lipu","is_ca":false},{"name":"Md. Sazal Miah","is_ca":false},{"name":"Shaheer Ansari","is_ca":false},{"name":"Sheikh Tanzim Meraj","is_ca":false},{"name":"Kamrul Hasan","is_ca":false},{"name":"Rajvikram Madurai Elavarasan","is_ca":false},{"name":"Abdullah Al Mamun","is_ca":false},{"name":"Muhammad Ammirrul Atiqi Mohd Zainuri","is_ca":false},{"name":"Aini Hussain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02528891742707839,"gpt":0.3167674664109364,"spread":0.291478548983858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275072,0.0006905303,0.0006339904,0.005342288,0.0002988404,0.002612871,0.0005771762,0.0005938287,0.002240551],"category_scores_gemma":[0.00239378,0.0002685433,0.0006486498,0.007214646,0.0004631569,0.003219582,0.0005351806,0.0006130096,0.0004452076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008571486,"about_ca_system_score_gemma":0.001757317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627225,"about_ca_topic_score_gemma":0.001976401,"domain_scores_codex":[0.9994179,0.0001011405,0.00006411131,0.00008646765,0.0002757158,0.00005471346],"domain_scores_gemma":[0.998117,0.000947387,0.0001845036,0.0000492677,0.0006607012,0.00004115026],"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":[0.0000820513,0.0001204493,0.00474896,0.01641513,0.0001652983,0.0003784066,0.0003731298,0.009475989,0.004165795,0.04912971,0.01251653,0.9024286],"study_design_scores_gemma":[0.00003238532,0.0009186443,0.02023878,0.02477708,0.001079443,0.00248877,0.004953142,0.06550694,0.01492814,0.1309537,0.7338912,0.0002317422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0180792,0.9284261,0.02441302,0.003173061,0.0005350774,0.00007032926,0.0003263188,0.00011485,0.02486219],"genre_scores_gemma":[0.09423726,0.8920874,0.009034823,0.0003266086,0.0005373959,0.00004332116,0.0003352551,0.00002050242,0.003377474],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005342288,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294959509","doi":"10.3390/electronics11172799","title":"Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":58,"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; Artificial intelligence; Pattern recognition (psychology); Contextual image classification; Heuristics; Land cover; Data mining; Image segmentation; Segmentation; Machine learning; Image (mathematics)","authors":[{"name":"Chandra Shekhar Yadav","is_ca":false},{"name":"Monoj K. Pradhan","is_ca":false},{"name":"Syam Machinathu Parambil Gangadharan","is_ca":false},{"name":"Jitendra Kumar Chaudhary","is_ca":false},{"name":"Jagendra Singh","is_ca":false},{"name":"Arfat Ahmad Khan","is_ca":false},{"name":"Mohd Anul Haq","is_ca":false},{"name":"Ahmed Alhussen","is_ca":false},{"name":"Chitapong Wechtaisong","is_ca":false},{"name":"Hazra Imran","is_ca":true},{"name":"Zamil S. Alzamil","is_ca":false},{"name":"Himansu Sekhar Pattanayak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03705877885446925,"gpt":0.2704514693021981,"spread":0.2333926904477288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424349,0.000623807,0.001128081,0.0006482061,0.0003171288,0.001191833,0.002082333,0.001129277,0.001256865],"category_scores_gemma":[0.002074737,0.0003757127,0.0007533628,0.0006240812,0.0008199387,0.001062179,0.0007274766,0.001527286,0.0002784644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008783595,"about_ca_system_score_gemma":0.0005790333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006208328,"about_ca_topic_score_gemma":0.004118508,"domain_scores_codex":[0.9994997,0.0001285671,0.00003195403,0.0001619519,0.0001107348,0.00006718723],"domain_scores_gemma":[0.9991046,0.0005039314,0.0001087581,0.00004559956,0.0002033412,0.00003383021],"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":[0.0001953469,0.0001668161,0.002164753,0.00008545948,0.00007754557,0.00007675024,0.0001495561,0.8912335,0.002005705,0.00727674,0.0007453805,0.09582242],"study_design_scores_gemma":[0.000001966971,0.000009233224,0.00007049389,0.000001697156,0.000002951037,0.000002747701,0.000002313452,0.9992047,0.000135033,0.0005211128,0.00004599592,0.000001925001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0782036,0.0008640843,0.9172513,0.00045059,0.00006362466,0.000085017,0.0001013923,0.0004627377,0.002517635],"genre_scores_gemma":[0.9564652,0.0003111687,0.03897938,0.0001449773,0.00007521978,0.0001879054,0.0001826752,0.00002037302,0.003633071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006208328,"threshold_uncertainty_score":0.01234436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2982546097","doi":"10.3390/electronics8111235","title":"A Review of Automatic Phenotyping Approaches using Electronic Health Records","year":2019,"lang":"en","type":"review","venue":"Electronics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Charles Darwin University; Trent University; Nottingham Trent University","keywords":"Computer science; Popularity; Biomedical text mining; Information retrieval; Artificial intelligence; Machine learning; Health records; Subject (documents); Data science; Information extraction; Electronic health record; Natural language processing; Health care; World Wide Web; Text mining","authors":[{"name":"Hadeel Alzoubi","is_ca":false},{"name":"Raid Alzubi","is_ca":false},{"name":"Naeem Ramzan","is_ca":false},{"name":"Daune West","is_ca":false},{"name":"Tawfik Al-Hadhrami","is_ca":false},{"name":"Mamoun Alazab","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1107684030840043,"gpt":0.3702392415391,"spread":0.2594708384550957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003073451,0.001046698,0.001372916,0.008364784,0.0004043741,0.001303997,0.00151044,0.001219363,0.003672663],"category_scores_gemma":[0.007864911,0.00048492,0.001493085,0.007693798,0.0005820182,0.002276566,0.0008385062,0.0009687883,0.001765843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009072786,"about_ca_system_score_gemma":0.0029878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692892,"about_ca_topic_score_gemma":0.003283827,"domain_scores_codex":[0.9984879,0.000386988,0.0003603284,0.0002548371,0.0004610367,0.00004887388],"domain_scores_gemma":[0.9931559,0.004933572,0.0005273853,0.0001524464,0.001148988,0.00008157269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004917913,0.00004309555,0.0004676972,0.06675053,0.0002096378,0.0001286932,0.0001434635,0.0003167102,0.0007129551,0.001861395,0.01273037,0.9165862],"study_design_scores_gemma":[0.00002494752,0.0001538886,0.005299888,0.07117847,0.00129874,0.001940093,0.0003168016,0.000453539,0.001673579,0.003102875,0.9144715,0.000085748],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002264907,0.996822,0.001154971,0.0003813476,0.0001329836,0.00002731445,0.000120286,0.00002753635,0.001107024],"genre_scores_gemma":[0.001052212,0.9962089,0.001983426,0.0002490171,0.00008488783,0.00002847592,0.0001573489,0.000005759555,0.0002300383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008364784,"threshold_uncertainty_score":0.01625419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3160301098","doi":"10.3390/electronics10101171","title":"Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University; University of New Brunswick","funders":"","keywords":"Computer security; Fog computing; Computer science; Software deployment; Access control; Authentication (law); Context (archaeology); Variety (cybernetics); Information privacy; Internet privacy; Internet of Things","authors":[{"name":"Abdullah Al-Noman Patwary","is_ca":false},{"name":"Ranesh Kumar Naha","is_ca":false},{"name":"Saurabh Garg","is_ca":false},{"name":"Sudheer Kumar Battula","is_ca":false},{"name":"Md Anwarul Kaium Patwary","is_ca":false},{"name":"Erfan Aghasian","is_ca":false},{"name":"Muhammad Bilal Amin","is_ca":false},{"name":"Aniket Mahanti","is_ca":true},{"name":"Mingwei Gong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02566197054360011,"gpt":0.295307330567905,"spread":0.2696453600243049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650284,0.001300868,0.001620341,0.003936464,0.001434506,0.004751399,0.001842229,0.002518633,0.002056306],"category_scores_gemma":[0.003461788,0.0007768706,0.001319907,0.005951049,0.001841961,0.008589322,0.002526424,0.003243555,0.001140899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202288,"about_ca_system_score_gemma":0.002411021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786699,"about_ca_topic_score_gemma":0.001825814,"domain_scores_codex":[0.9976775,0.0005042267,0.0002715682,0.0002782549,0.00103556,0.000232975],"domain_scores_gemma":[0.9975338,0.001274085,0.0001940189,0.0002211344,0.0006501375,0.0001268217],"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":[0.00008935903,0.0001865591,0.001820555,0.006076854,0.0001429089,0.0006807416,0.001127732,0.009301475,0.002328952,0.2180558,0.0230798,0.7371092],"study_design_scores_gemma":[0.00003083854,0.0002873049,0.002087424,0.005960982,0.000209765,0.002847704,0.002025597,0.04225525,0.002795127,0.2107982,0.7305266,0.000175098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006528992,0.7572407,0.182188,0.005515493,0.001567013,0.0003132735,0.0001202115,0.0003530735,0.04617335],"genre_scores_gemma":[0.08404413,0.8460819,0.05747304,0.001959923,0.002445583,0.0002516489,0.0002918995,0.0001114744,0.007340454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004751399,"threshold_uncertainty_score":0.01597881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040268504","doi":"10.3390/electronics9071080","title":"Resonant Cavity Antennas for 5G Communication Systems: A Review","year":2020,"lang":"en","type":"review","venue":"Electronics","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":56,"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":"","keywords":"Reconfigurability; Bandwidth (computing); Directivity; Computer science; Electronic engineering; Wireless; Wideband; Antenna (radio); Focus (optics); Communications system; Engineering; Telecommunications; Physics; Optics","authors":[{"name":"Azita Goudarzi","is_ca":true},{"name":"Mohammad Mahdi Honari","is_ca":true},{"name":"Rashid Mirzavand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04320003370827091,"gpt":0.3162898000755118,"spread":0.2730897663672409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004123716,0.0007634807,0.0006164208,0.001519437,0.0002515753,0.0007588924,0.0005660596,0.0009404258,0.004522941],"category_scores_gemma":[0.000494834,0.0003820866,0.0004715761,0.001586239,0.0002353682,0.001183266,0.0004874511,0.0009458082,0.002096038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298009,"about_ca_system_score_gemma":0.0006201577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005489871,"about_ca_topic_score_gemma":0.0008448722,"domain_scores_codex":[0.999859,0.00001999748,0.00001625588,0.0000311379,0.00005821416,0.00001551692],"domain_scores_gemma":[0.9997517,0.0001305952,0.00003513574,0.00000859782,0.00005978209,0.00001403975],"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":[0.00004475128,0.00008846172,0.0002244994,0.01812666,0.00005862043,0.0002140677,0.00007674518,0.001048939,0.009313497,0.009693616,0.02158205,0.9395282],"study_design_scores_gemma":[0.000005600416,0.0001523562,0.0004907842,0.002052734,0.00008356035,0.0009885665,0.00006352052,0.0004558628,0.002481175,0.001905526,0.9912957,0.00002455117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005609762,0.9933636,0.001308153,0.0002793544,0.0003110153,0.00001139694,0.00002950012,0.0000216576,0.004114388],"genre_scores_gemma":[0.002766375,0.9938699,0.001122237,0.000172412,0.000188292,0.00001366092,0.00003994688,0.000004648479,0.001822622],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004522941,"threshold_uncertainty_score":0.01513076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213194625","doi":"10.3390/electronics11040605","title":"Deep Learning Models for Predicting Epileptic Seizures Using iEEG Signals","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Epilepsy; Convolutional neural network; Electroencephalography; Artificial intelligence; Transfer of learning; Computer science; Deep learning; Epileptic seizure; Machine learning; Pattern recognition (psychology); Neuroscience; Psychology","authors":[{"name":"Omaima Ouichka","is_ca":true},{"name":"Amira Echtioui","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04386123311823762,"gpt":0.2821266210245931,"spread":0.2382653879063555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004484383,0.001050276,0.0004190453,0.0005914555,0.0001817129,0.0004137142,0.0005813075,0.000615549,0.001067779],"category_scores_gemma":[0.001227971,0.0002334757,0.0005741647,0.000485741,0.0001456012,0.0005713157,0.0003979319,0.0008690311,0.0003275715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882747,"about_ca_system_score_gemma":0.0006335727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496472,"about_ca_topic_score_gemma":0.01417276,"domain_scores_codex":[0.999868,0.00002334448,0.00001386371,0.00003411352,0.00003067631,0.00003002944],"domain_scores_gemma":[0.9997578,0.000101815,0.00002945739,0.000016037,0.00008359743,0.00001133137],"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":[0.0001552734,0.0002013755,0.005239688,0.00006775698,0.0001128206,0.0001069801,0.00002742527,0.8100941,0.005677023,0.0007589219,0.00214202,0.1754166],"study_design_scores_gemma":[0.000002491222,0.00001655818,0.0004595924,0.000004802524,0.000007613266,0.000007013837,0.00000326479,0.998353,0.000764699,0.0002518682,0.0001264668,0.000002651642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3848337,0.004054391,0.6004696,0.0008694361,0.0003218488,0.0001460463,0.001249488,0.00334441,0.004711146],"genre_scores_gemma":[0.9595946,0.0007353983,0.03536926,0.0001099184,0.00004860725,0.00007689475,0.001060233,0.00003629079,0.002968859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01496472,"threshold_uncertainty_score":0.02975523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394571622","doi":"10.3390/electronics13071391","title":"Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"Universidad de Oviedo","keywords":"Anomaly detection; Cyber-physical system; Ensemble learning; Computer science; Anomaly (physics); Artificial intelligence; Machine learning; Data mining; Physics; Operating system","authors":[{"name":"Nicholas Jeffrey","is_ca":false},{"name":"Qing Tan","is_ca":true},{"name":"José R. Villar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01654812489773955,"gpt":0.2616754188459334,"spread":0.2451272939481938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003055622,0.001126374,0.0014431,0.002300349,0.0006134281,0.001251956,0.00140445,0.001003506,0.0004455789],"category_scores_gemma":[0.007562567,0.0003926756,0.00112632,0.00157938,0.0006772343,0.002109247,0.00142108,0.001849572,0.0001850129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006636492,"about_ca_system_score_gemma":0.0007084882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004203202,"about_ca_topic_score_gemma":0.00356418,"domain_scores_codex":[0.998331,0.0004416392,0.0001355197,0.0004350556,0.0004933156,0.0001634103],"domain_scores_gemma":[0.9955499,0.002523649,0.0004452104,0.0005384437,0.0008171452,0.0001257131],"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":[0.0001035525,0.0001487836,0.01473928,0.00007057013,0.0002240061,0.0001465668,0.000108389,0.7665403,0.003075176,0.002930606,0.0009185667,0.2109942],"study_design_scores_gemma":[0.000001484225,0.00001782511,0.0006393825,0.000002807137,0.000008667328,0.0000181207,0.000009082709,0.9969021,0.0005717685,0.001692195,0.0001319639,0.000004614883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08142269,0.0005797583,0.9153858,0.0003239971,0.00009675207,0.00004298607,0.0001031981,0.001241862,0.0008028639],"genre_scores_gemma":[0.9165525,0.0003179031,0.08186624,0.0001035715,0.00009887617,0.00005550816,0.0003573004,0.00005129218,0.0005967678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004203202,"threshold_uncertainty_score":0.01615983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}