{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":18,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":18,"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"},"query_hash":"10fedc9ada97","filters":{"venue":"IEEE Latin America Transactions"}},"results":[{"id":"W4210776059","doi":"10.1109/tla.2022.9693568","title":"Brain Extraction in Multiple T1-weighted Magnetic Resonance Imaging slices using Digital Image Processing techniques","year":2022,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Preprocessor; Computer science; Artificial intelligence; Pattern recognition (psychology); Image processing; Independent component analysis; Digital image; Feature extraction; Sensitivity (control systems); Noise (video); Medical imaging; Data pre-processing; Digital image processing; Computer vision; Image (mathematics); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02943908079915981,"gpt":0.2823839146227994,"spread":0.2529448338236396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001360997,0.0001891015,0.0001711063,0.0003630029,0.0009209209,0.0002012251,0.0001985939,0.00003182389,0.0003715177],"category_scores_gemma":[0.00008347639,0.0002233244,0.00008173064,0.001659755,0.0002137861,0.0009822316,0.00000982018,0.0005522168,0.00001184748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731747,"about_ca_system_score_gemma":0.00007991825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623455,"about_ca_topic_score_gemma":0.00002444894,"domain_scores_codex":[0.9981229,0.0002253815,0.0003939872,0.0005675476,0.0003585105,0.0003316906],"domain_scores_gemma":[0.9991665,0.0003046315,0.0002010183,0.000227003,0.00003534018,0.00006549365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003808619,0.0001543814,0.0002024436,0.000008057433,4.373201e-7,0.00001271476,0.0004023871,0.0002956122,0.6183767,0.000002996998,0.00003050334,0.3804757],"study_design_scores_gemma":[0.0008442968,0.0001607633,0.005843532,0.00005868579,0.00002002152,0.0003663847,0.002377146,0.582769,0.3604973,0.0002251925,0.04615407,0.0006836411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4271373,0.0002913204,0.5614411,0.003319537,0.0006796783,0.001187983,0.0001892068,0.001424766,0.004329089],"genre_scores_gemma":[0.9935084,0.00001416979,0.005164258,0.0005425647,0.00004358512,0.0002553412,0.000004530761,0.00004471181,0.0004224546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5824734,"threshold_uncertainty_score":0.9106906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3165856572","doi":"10.1109/tla.2021.9468439","title":"Usability Questionnaires to Evaluate Voice User Interfaces","year":2021,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Algoma University","funders":"","keywords":"Usability; Human–computer interaction; Computer science; Usability lab; Popularity; Usability inspection; Usability goals; Dialog box; Heuristic evaluation; User interface; Quality (philosophy); Web usability; User experience design; Usability engineering; Multimedia; World Wide Web; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.0253875053828248,"gpt":0.287253212510886,"spread":0.2618657071280612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874719,0.0001466737,0.0002066431,0.00007677046,0.0001887792,0.0001670948,0.0003840149,0.00004902873,0.0001666603],"category_scores_gemma":[0.0001015567,0.0001432099,0.0001007251,0.0009307276,0.00006470961,0.0003650007,0.00001536359,0.0001505254,0.000692817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007538826,"about_ca_system_score_gemma":0.0001789385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006898334,"about_ca_topic_score_gemma":0.0004979126,"domain_scores_codex":[0.9983888,0.0002462652,0.0002966162,0.0004874407,0.0003009109,0.00027993],"domain_scores_gemma":[0.9986555,0.0002207103,0.00005739504,0.00066131,0.0002109614,0.0001941098],"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":[0.00008459418,0.001147529,0.003084307,0.0001287464,0.0002790604,0.00008209707,0.0131501,0.0540421,0.1156135,0.0009745589,0.0140758,0.7973376],"study_design_scores_gemma":[0.002628955,0.001205935,0.108778,0.0005601865,0.0002214968,0.0002908779,0.001945444,0.08468564,0.5328104,0.006251195,0.2575978,0.003024028],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0460504,0.00007174982,0.9461823,0.003618814,0.001854178,0.0001732109,0.00001424788,0.0002848715,0.001750203],"genre_scores_gemma":[0.9391616,0.00001109655,0.05899733,0.0006321893,0.0000837453,0.00006394727,0.000001944116,0.000009914693,0.001038218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8931112,"threshold_uncertainty_score":0.8904992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064413237","doi":"10.1109/tla.2013.6533970","title":"A Token Based Method for Congestion and Packet Loss Control","year":2013,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Explicit Congestion Notification; Network congestion; Computer science; Packet loss; Network traffic control; Flow control (data); Token bucket; Network packet; TCP Friendly Rate Control; TCP tuning; Active queue management","retraction":null,"screen_n_in":null,"score":{"opus":0.009469173611537072,"gpt":0.2401504522076049,"spread":0.2306812785960679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517207,0.0001638571,0.0002431985,0.00007768898,0.0002249472,0.0001481758,0.0002102704,0.00007137597,0.0001185647],"category_scores_gemma":[0.00001519139,0.0001540764,0.0001021738,0.0002509111,0.00008727445,0.0003497491,0.00000225995,0.0001396736,0.00003502263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002207572,"about_ca_system_score_gemma":0.00006129652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009753878,"about_ca_topic_score_gemma":0.00001456215,"domain_scores_codex":[0.9988391,0.0001350466,0.0002368171,0.0003595656,0.0001384013,0.0002910285],"domain_scores_gemma":[0.9984232,0.0008986856,0.00009327054,0.000278834,0.0001468714,0.0001591645],"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":[0.00002061465,0.00005781902,0.00004734779,0.0000097087,0.00004549099,0.000001009901,0.0001229848,0.01414794,0.0006179569,0.0007526928,0.0009824435,0.983194],"study_design_scores_gemma":[0.001655775,0.0001505304,0.00101615,0.0000119256,0.00005137371,0.000007759996,0.00002225297,0.9874823,0.0001358911,0.0006054671,0.008660332,0.0002002093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008468091,0.00005217339,0.987882,0.009671639,0.0003347223,0.0007300588,0.00002472834,0.0002645174,0.0001933501],"genre_scores_gemma":[0.7638739,0.00001090405,0.23353,0.001728842,0.00006785144,0.0005533903,0.000002486786,0.0000115858,0.0002210442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9829938,"threshold_uncertainty_score":0.6283055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039487249","doi":"10.1109/tla.2014.6827882","title":"Using a NIR Camera for Car Gesture Control","year":2014,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Gesture; Gesture recognition; Computer science; Robustness (evolution); Duty cycle; Computer vision; Ranging; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01907979023073255,"gpt":0.2741451405232748,"spread":0.2550653502925423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002824901,0.0001450677,0.0002298141,0.0000396632,0.0002294419,0.00002276259,0.00009278307,0.00004983593,0.00006126333],"category_scores_gemma":[0.0000105333,0.0001366402,0.0001338104,0.0001620006,0.0001495076,0.00007461329,0.000001730674,0.0001989757,0.00001020303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002478516,"about_ca_system_score_gemma":0.00001764271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525035,"about_ca_topic_score_gemma":0.000004089052,"domain_scores_codex":[0.9992545,0.0000226869,0.0001605208,0.0002150946,0.00007349722,0.0002736861],"domain_scores_gemma":[0.9993402,0.0002494226,0.00007376554,0.0002250528,0.00005671316,0.00005480067],"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":[0.00008207485,0.0002989792,0.001487577,0.00002238757,0.0003645886,9.03129e-7,0.000370476,0.2475287,0.08713669,0.008098535,0.0004013223,0.6542078],"study_design_scores_gemma":[0.004960184,0.0005706275,0.001160908,0.00009872369,0.0007966718,0.000006505134,0.001366405,0.7988814,0.0353663,0.0448996,0.1102298,0.001662828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02075361,0.000006380048,0.9771236,0.0005876066,0.0001730274,0.0002509027,0.00007330038,0.0001960963,0.0008354625],"genre_scores_gemma":[0.8408096,5.984721e-7,0.1587874,0.0001124368,0.0001310885,0.00003581611,0.000003582056,0.00002291925,0.00009657739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.820056,"threshold_uncertainty_score":0.5572027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163826395","doi":"10.1109/tla.2011.6030982","title":"An Analytical Approach to the Economical Assessment of Wind Distributed Generators Penetration in Electric Power Systems with Centralized Thermal Generation","year":2011,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"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":"Wind power; Distributed generation; Electric power system; Penetration (warfare); Wind generator; Electricity generation; Engineering; Automotive engineering; Electric power; Computer science; Control engineering; Electrical engineering; Reliability engineering; Renewable energy; Power (physics); Operations research","retraction":null,"screen_n_in":null,"score":{"opus":0.01925750890205517,"gpt":0.2269547931452926,"spread":0.2076972842432375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001568182,0.0001788074,0.0002635396,0.0001807631,0.00006884911,0.00004473574,0.0001465269,0.00008311799,0.00004228878],"category_scores_gemma":[0.000002438425,0.0001417637,0.00004503569,0.0009089431,0.0000260745,0.0002097426,9.335208e-7,0.0001886043,0.000002614358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167916,"about_ca_system_score_gemma":0.00007239015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182665,"about_ca_topic_score_gemma":0.00004474368,"domain_scores_codex":[0.9986883,0.0001697436,0.0004532919,0.0002389502,0.0001770681,0.0002726037],"domain_scores_gemma":[0.9994531,0.00002761478,0.00007737995,0.0002830588,0.00005782559,0.0001010661],"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":[0.00001691097,0.0001629742,0.001075368,0.000009612182,0.00006399288,5.178941e-7,0.0005372418,0.9890996,0.008622569,0.00009950966,0.00003331972,0.0002784468],"study_design_scores_gemma":[0.0003159159,0.0001789612,0.01914846,0.000006796684,0.00004790718,0.000005210346,0.00009978786,0.9774492,0.002544728,4.895922e-7,0.00003059914,0.0001719114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3386269,0.00001571047,0.6597815,0.00001095223,0.0001273504,0.0004359958,0.00002084271,0.0000616066,0.0009191266],"genre_scores_gemma":[0.9920915,0.000009059125,0.007657327,0.00001228794,0.00003458737,0.00009846519,0.0000573931,0.00003332835,0.000005998689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6534647,"threshold_uncertainty_score":0.5780957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074189548","doi":"10.1109/tla.2004.1468630","title":"Effects of the SVC and the STATCOM on Damping Power Systems Low Frequency Electromechanical Oscillations","year":2004,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":9,"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":"Static VAR compensator; Control theory (sociology); Electric power system; Transmission line; Electric power transmission; Bifurcation; Flexible AC transmission system; AC power; Power (physics); Eigenvalues and eigenvectors; Generator (circuit theory); Engineering; Permanent magnet synchronous generator; Computer science; Physics; Voltage; Nonlinear system; Power flow; Electrical engineering; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.003331484010682952,"gpt":0.180537374526115,"spread":0.177205890515432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001098031,0.0001334528,0.0002249679,0.00004372178,0.0001994362,0.00003018227,0.0001176662,0.00005455585,0.00002129953],"category_scores_gemma":[0.00003032717,0.00008514936,0.0001012044,0.0003912186,0.0001456828,0.0000671478,0.000002140615,0.0002245383,0.000004884319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008479628,"about_ca_system_score_gemma":0.00003277718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001237087,"about_ca_topic_score_gemma":0.00002196976,"domain_scores_codex":[0.9990787,0.0001290213,0.0002944513,0.0001428111,0.0001818528,0.0001731457],"domain_scores_gemma":[0.9992036,0.0003663917,0.00005959533,0.0002823475,0.00003768865,0.00005043875],"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":[0.00001976159,0.00008432773,0.00004068736,0.0001646777,0.0001161502,6.856068e-7,0.00194042,0.9825307,0.01041213,0.004400189,0.00002387429,0.0002664044],"study_design_scores_gemma":[0.02151647,0.001134586,0.02904539,0.002305916,0.001005364,0.0001237213,0.002972156,0.8606277,0.06912832,0.005707249,0.003563885,0.002869199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0508468,0.0001508015,0.9455214,0.0003427857,0.000825184,0.0006452922,0.0000267925,0.0001465712,0.001494446],"genre_scores_gemma":[0.999257,0.00004958423,0.00052018,0.0000523565,0.000007821364,0.00006440862,8.230217e-7,0.00001935567,0.00002849235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9484102,"threshold_uncertainty_score":0.347229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2344484630","doi":"10.1109/tla.2015.7404939","title":"Using Design Patterns as Usability Heuristics for Mobile Groupware Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":9,"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":"Usability; Human–computer interaction; Computer science; Collaborative software; Heuristics; User interface; Heuristic evaluation; Computer-supported cooperative work; Perspective (graphical); Usability lab; Usability engineering; Knowledge management; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1447459598463348,"gpt":0.3775821181732866,"spread":0.2328361583269518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002200485,0.0001749759,0.0002576427,0.0000649913,0.0001824178,0.00004231668,0.0001496563,0.0001108162,0.0002558514],"category_scores_gemma":[0.00001230621,0.0001762377,0.000103959,0.000207109,0.00009150607,0.00009011613,0.000002249759,0.0001916334,0.00008286733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167991,"about_ca_system_score_gemma":0.00007821096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196567,"about_ca_topic_score_gemma":0.0000258076,"domain_scores_codex":[0.9987161,0.0001364178,0.0003396163,0.0003191806,0.0001514832,0.0003371699],"domain_scores_gemma":[0.9989213,0.0002576468,0.0001264814,0.0003949767,0.0001310221,0.000168596],"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":[0.0006108308,0.001471316,0.01142689,0.0002667975,0.0004184779,0.00002461834,0.01544065,0.8989426,0.0008462568,0.0004694416,0.002236369,0.06784572],"study_design_scores_gemma":[0.002232055,0.001864331,0.002902738,0.00007787489,0.0003216102,0.0001652265,0.008710353,0.9496904,0.0001248254,0.0004553582,0.03247663,0.0009785888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1439606,0.0000648342,0.8519103,0.00003095818,0.002276637,0.0007321748,0.0003589145,0.0001057157,0.0005598711],"genre_scores_gemma":[0.9867208,0.000009642552,0.01179571,0.00006557615,0.0001794036,0.000437795,0.00001775066,0.00004131114,0.0007320041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8427602,"threshold_uncertainty_score":0.7186764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037150508","doi":"10.1109/tla.2013.6710374","title":"An Improved Scheme for Key Management of RFID in Vehicular Adhoc Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Authentication (law); Vehicular ad hoc network; Revocation list; Key (lock); Wireless ad hoc network; Computer security; Scheme (mathematics); Public-key cryptography; Radio-frequency identification; Computer network; Certificate; Digital signature; Public key certificate; Wireless; Hash function; Telecommunications; Encryption","retraction":null,"screen_n_in":null,"score":{"opus":0.01201624752963093,"gpt":0.2721212203335429,"spread":0.260104972803912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009215899,0.000129197,0.0001823988,0.00008633253,0.00008341452,0.00004355552,0.0004908486,0.00005025936,0.00006177022],"category_scores_gemma":[0.000002494279,0.000134858,0.00008001626,0.0005519043,0.00007185998,0.00061858,0.000008667845,0.0001347957,0.00001076728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003914542,"about_ca_system_score_gemma":0.00001950536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006558433,"about_ca_topic_score_gemma":0.000009349556,"domain_scores_codex":[0.9988484,0.00004639556,0.000355962,0.0003503047,0.0001310843,0.0002678252],"domain_scores_gemma":[0.9990076,0.00006155604,0.0001458698,0.0005986511,0.0001019982,0.00008427839],"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":[0.0000490173,0.001819543,0.0003661045,0.0002979807,0.0001737036,0.000003602459,0.002734368,0.2045191,0.03248348,0.02011779,0.00005852322,0.7373768],"study_design_scores_gemma":[0.0005929661,0.0001306347,0.002434887,0.00003216254,0.000009660699,7.026758e-7,0.00009504323,0.9882442,0.002696723,0.005139903,0.0004521263,0.0001710189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003857833,0.00001349682,0.9911584,0.00026516,0.0001150895,0.004364535,0.000005133136,0.0001059444,0.0001144022],"genre_scores_gemma":[0.6173686,0.000008490925,0.3778918,0.00007398969,0.00001023065,0.004589321,0.000002442212,0.00001004171,0.00004501336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7837251,"threshold_uncertainty_score":0.5499347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200545319","doi":"10.1109/tla.2022.9661466","title":"Transient Analysis of Grounding Electrodes in Multilayer Soils Using Method of Moments","year":2021,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Soil resistivity; Ground; Ground-penetrating radar; Earthing system; Counterpoise; Electrical impedance; Lightning (connector); Frequency domain; Electrical engineering; Lightning strike; Engineering; Transient (computer programming); FEKO; Acoustics; Context (archaeology); Time domain; Electronic engineering; Geology; Computer science; Physics; Mathematics; Telecommunications; Radar; Mathematical analysis; Antenna (radio)","retraction":null,"screen_n_in":null,"score":{"opus":0.02098891581295212,"gpt":0.3026200916952059,"spread":0.2816311758822537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009184077,0.0001174729,0.0004341399,0.0002801475,0.00005495043,0.000009389017,0.00006809191,0.00002292441,0.0004386041],"category_scores_gemma":[0.00000148919,0.0001233485,0.0002318496,0.001829763,0.00003839733,0.00006964028,0.000001682623,0.0001298859,4.629122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003305024,"about_ca_system_score_gemma":0.00007039985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437716,"about_ca_topic_score_gemma":0.00003322024,"domain_scores_codex":[0.998894,0.0001119119,0.0003891247,0.0002153962,0.0001481794,0.0002413382],"domain_scores_gemma":[0.9994687,0.000117568,0.0001345756,0.0001749789,0.00005980104,0.00004439933],"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":[0.00001824904,0.0005005617,0.00651804,0.00001935113,0.001479317,9.023643e-7,0.002714389,0.1698502,0.7893612,0.0001144804,0.000002175032,0.02942117],"study_design_scores_gemma":[0.001293229,0.0001879798,0.02722908,0.00007954429,0.003790232,0.000001633018,0.002424283,0.2743478,0.6895186,0.0005445482,0.0001172727,0.0004657838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4992351,0.00002261382,0.4999595,0.00002142307,0.00003178277,0.00003738885,0.00002396794,0.000005226312,0.0006629694],"genre_scores_gemma":[0.9656648,0.000004944563,0.0341609,0.00001013247,0.00001650924,0.00001077378,0.00001162324,0.00001117937,0.0001091545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4664297,"threshold_uncertainty_score":0.5030006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2343814825","doi":"10.1109/tla.2016.7459622","title":"Automatic algorithm to classify and locate research papers using natural language","year":2016,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"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; Data mining; Upload; Natural language; Set (abstract data type); Statistical classification; Artificial intelligence; Knowledge base; Algorithm; Information retrieval; Machine learning; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.04327746162101873,"gpt":0.3328154659512365,"spread":0.2895380043302178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000187359,0.0001200965,0.0001393959,0.0001809405,0.0003844265,0.0001368343,0.0004112014,0.00003804224,0.00006114543],"category_scores_gemma":[0.00001807892,0.00008951429,0.00003780421,0.0009150831,0.0001718227,0.0003236048,0.00002793916,0.00018699,0.00008860177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006948379,"about_ca_system_score_gemma":0.00006592857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459937,"about_ca_topic_score_gemma":0.00001842305,"domain_scores_codex":[0.9986737,0.00008077596,0.0001837719,0.0004133868,0.0002858722,0.0003625016],"domain_scores_gemma":[0.9989324,0.0002863435,0.00003903354,0.0004945953,0.00006912697,0.0001785328],"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":[5.696227e-7,0.00002531301,0.000003554504,0.000003144351,0.00001186751,0.000003356308,0.0007660853,0.00002347156,0.02247698,0.0000519301,0.0001595929,0.9764741],"study_design_scores_gemma":[0.0003783694,0.0001146311,0.001808847,0.0001128993,0.00001924956,0.00004904782,0.0005554651,0.9799407,0.004006818,0.0001346352,0.01250074,0.0003786616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01396667,0.00004485347,0.981989,0.003058502,0.0001853,0.0001842688,0.00004714885,0.0002062895,0.0003180264],"genre_scores_gemma":[0.4839947,0.00001945539,0.5149883,0.0001876226,0.00005289794,0.00005777961,0.000001360463,0.00001382941,0.000684074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9799172,"threshold_uncertainty_score":0.3650287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2983318634","doi":"10.1109/tla.2019.8891956","title":"An Agent-Based Model Applied to Brazilian Wind Energy Auctions","year":2019,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"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":"Common value auction; Government (linguistics); Microeconomics; Forward auction; Electricity; Computer science; Business; Wind power; Economics; Mathematical optimization; Auction theory; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0445847852978507,"gpt":0.3383684293709508,"spread":0.2937836440731001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003523404,0.0002375705,0.0003265591,0.0004436296,0.0006265377,0.0001778749,0.000700077,0.0001069635,0.004976207],"category_scores_gemma":[0.00002178203,0.0002215843,0.0002045746,0.002095749,0.0001708783,0.0003515828,0.00000584882,0.0002211033,0.003096537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006557498,"about_ca_system_score_gemma":0.0001487351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000804048,"about_ca_topic_score_gemma":0.0001085709,"domain_scores_codex":[0.9973294,0.0001348242,0.0006143211,0.0008204167,0.0007372393,0.0003637924],"domain_scores_gemma":[0.9975045,0.0003911639,0.0001867007,0.001323089,0.0001800721,0.0004144291],"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":[0.00004318105,0.0002367587,0.00003134223,0.000001128751,0.00001523852,2.396711e-7,0.0004054343,0.9125845,0.02483764,0.003307136,0.001268907,0.05726849],"study_design_scores_gemma":[0.0009955342,0.00028796,0.001366604,0.0000118236,0.00009208906,0.00000747481,0.002844703,0.7554206,0.0169763,0.02794324,0.193054,0.000999691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03412501,0.000002637688,0.9499674,0.001677688,0.0004126653,0.0003402386,0.0001411643,0.0002399021,0.01309326],"genre_scores_gemma":[0.971446,0.000002056555,0.01631523,0.002197447,0.00008792562,0.0001573543,0.00001722795,0.00003530637,0.009741428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.937321,"threshold_uncertainty_score":0.9976797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2800492640","doi":"10.1109/tla.2018.8358661","title":"Estimation of residential natural gas consumption in Medellín-Antioquia","year":2018,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Gas consumption; Quarter (Canadian coin); Support vector machine; Natural gas; Consumption (sociology); Estimation; Statistics; Econometrics; Computer science; Time series; Engineering; Geography; Mathematics; Artificial intelligence; Petroleum engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0132236395742077,"gpt":0.2453941101381197,"spread":0.232170470563912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005311065,0.0001013933,0.0001426513,0.0001619467,0.00005798691,0.00001236637,0.000063263,0.0000514845,0.0002707384],"category_scores_gemma":[0.000007302503,0.0001116742,0.00005192928,0.0003220377,0.0001287829,0.0001670518,0.000001167705,0.0001531867,0.00003917452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003223451,"about_ca_system_score_gemma":0.00001036616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493429,"about_ca_topic_score_gemma":0.000300925,"domain_scores_codex":[0.9993015,0.00002414773,0.0002830565,0.0001099322,0.0001172673,0.0001641028],"domain_scores_gemma":[0.9997221,0.00006239192,0.00004541257,0.0001137122,0.00002423754,0.00003209464],"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":[0.00003465554,0.00004381957,0.0006698339,0.00008537504,0.00005426434,0.000002973148,0.001625741,0.771304,0.05220937,0.00005807021,0.0002400989,0.1736718],"study_design_scores_gemma":[0.0003676612,0.00005334516,0.0053737,0.0001168171,0.00003260539,0.000008831689,0.00005415478,0.9152388,0.07811468,0.0001015171,0.0003466188,0.0001912658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6643171,0.00006957051,0.3324957,0.00002468965,0.0009894394,0.00006806305,0.00001455764,0.000148562,0.001872321],"genre_scores_gemma":[0.9931378,0.00005922075,0.006614153,0.00001004374,0.00007305953,0.000009206316,0.00001075661,0.00001845473,0.00006726025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288207,"threshold_uncertainty_score":0.455394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979697391","doi":"10.1109/tla.2012.6142473","title":"Analysis of Relay Attacks on RFiD Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"RFID technology advancements","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Toronto Metropolitan University; STMicroelectronics (Canada)","funders":"","keywords":"Relay; Computer security; Computer science; Orthogonality; Interference (communication); Identification (biology); Cryptography; Variety (cybernetics); Computer network; Class (philosophy); Radio-frequency identification; Telecommunications; Channel (broadcasting); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01412737812099853,"gpt":0.2475534350044564,"spread":0.2334260568834579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004811488,0.0001253933,0.0002855409,0.0003889178,0.00004942573,0.000004232859,0.000101834,0.00008612785,0.0002032195],"category_scores_gemma":[0.000004327653,0.000131149,0.0001171111,0.001264749,0.00006689104,0.0001193725,0.000001021064,0.0002043791,0.00007163661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006476245,"about_ca_system_score_gemma":0.000003552785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003006002,"about_ca_topic_score_gemma":0.000005465366,"domain_scores_codex":[0.999223,0.00002152864,0.0002612511,0.0001103813,0.0001355725,0.0002482443],"domain_scores_gemma":[0.9994462,0.00008182252,0.00005547948,0.0003358962,0.00002132608,0.00005926421],"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":[0.000004248,0.00007849747,0.003827193,0.00001902298,0.001107091,4.932841e-7,0.0002051807,0.9820257,0.005640429,0.00003885074,0.0001349783,0.006918343],"study_design_scores_gemma":[0.001446648,0.0003918133,0.101317,0.0001596936,0.006466688,0.00001246979,0.00130329,0.756218,0.06264047,0.0000212968,0.06833222,0.00169043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.277954,0.0002363224,0.7146084,0.00003170899,0.0009850742,0.0001555138,0.00008041062,0.0005356742,0.005412862],"genre_scores_gemma":[0.997732,0.00008151747,0.001845739,0.00001487842,0.00002317624,0.00005176372,0.00000716769,0.00002488504,0.000218916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7197779,"threshold_uncertainty_score":0.5348099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412375816","doi":"10.1109/tla.2025.11072499","title":"Attention Blocks Improve White Matter Hyperintensity Semantic Segmentation using U-Nets","year":2025,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Hyperintensity; Computer science; Segmentation; Artificial intelligence; White matter; Natural language processing; Pattern recognition (psychology); Magnetic resonance imaging; Medicine; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.01309702027091418,"gpt":0.2558730968913985,"spread":0.2427760766204843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004631435,0.0001447678,0.000156799,0.0001109065,0.0003661266,0.0001263881,0.0002431969,0.00004838138,0.00008848723],"category_scores_gemma":[0.00000113798,0.0001477186,0.0001091078,0.0007438165,0.00006254178,0.0003058605,0.00001344565,0.0001776168,0.00005710338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005508653,"about_ca_system_score_gemma":0.00003144837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192358,"about_ca_topic_score_gemma":0.00001752894,"domain_scores_codex":[0.9989473,0.00004097759,0.000261955,0.0003844717,0.0001310602,0.0002342227],"domain_scores_gemma":[0.999316,0.00004497615,0.00009613459,0.000400261,0.00008567957,0.0000569708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002880505,0.0006308396,0.02482924,0.00009416678,0.0002344399,0.00001056787,0.0008614358,0.1028367,0.6116994,0.0004408707,0.005944213,0.2523894],"study_design_scores_gemma":[0.0004900638,0.00004962951,0.061681,0.00006570823,0.0001240031,0.00002251071,0.0001351353,0.9239332,0.01015824,0.0008069701,0.002098973,0.0004345531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1079446,0.00001012359,0.8871502,0.003098268,0.0006082886,0.0002611243,0.000006988994,0.0001433593,0.0007770634],"genre_scores_gemma":[0.9488578,0.0000118842,0.04799454,0.00129194,0.00003563251,0.00005064148,0.000003894781,0.000009027289,0.00174457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8409133,"threshold_uncertainty_score":0.6023789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976292963","doi":"10.1109/tla.2005.1642441","title":"Generating Ensemble of Classifiers through Unsupervised Feature Selection","year":2005,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Random subspace method; Artificial intelligence; Computer science; Feature selection; Hidden Markov model; Pattern recognition (psychology); Machine learning; Feature (linguistics); Selection (genetic algorithm); Cascading classifiers; Context (archaeology); Set (abstract data type); Ensemble learning; Support vector machine","retraction":null,"screen_n_in":null,"score":{"opus":0.01861826100624761,"gpt":0.2518581909650561,"spread":0.2332399299588085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005203243,0.000132087,0.000160011,0.00006772047,0.0003755996,0.00003719115,0.0002734037,0.00007465877,0.00007356097],"category_scores_gemma":[0.000003570698,0.0001346865,0.0001114101,0.0009545974,0.00007663911,0.0005584296,0.000005173812,0.0002227423,0.00002872744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006124924,"about_ca_system_score_gemma":0.00008740096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009165543,"about_ca_topic_score_gemma":0.00003338042,"domain_scores_codex":[0.998977,0.00004890301,0.0002451032,0.0003072761,0.0002013646,0.0002203205],"domain_scores_gemma":[0.9993489,0.00007639034,0.0001096374,0.0002952909,0.0001070864,0.00006272051],"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":[0.000007767625,0.0005110851,0.00008474013,0.00002090392,0.00009437154,8.731984e-7,0.00295992,0.3570165,0.2373284,0.005570444,0.005471581,0.3909334],"study_design_scores_gemma":[0.000320903,0.00008412075,0.0005854226,0.00001354946,0.00002553341,0.00002036255,0.0001273188,0.9390297,0.02710182,0.0005442177,0.03190657,0.0002404674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004873393,0.00007317458,0.9879404,0.004700344,0.0001402008,0.0001508057,0.00001091069,0.0001913322,0.00191948],"genre_scores_gemma":[0.4588005,0.00004468006,0.5400271,0.0002567171,0.0001094472,0.0000449678,0.000003537198,0.00000853073,0.0007045521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5820132,"threshold_uncertainty_score":0.5492356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3021064703","doi":"10.1109/tla.2020.9082908","title":"Eletronic Instrumentation in Lofstrand: Dynamic Force and Attitude Monitoring","year":2020,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Crutch; Accelerometer; Gyroscope; Modular design; Force dynamics; Computer science; Instrumentation (computer programming); Work (physics); Centripetal force; Simulation; Engineering; Control theory (sociology); Artificial intelligence; Physics; Aerospace engineering; Mechanical engineering; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009269698105826568,"gpt":0.2242776078784794,"spread":0.2150079097726529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001202478,0.00010662,0.000131785,0.00007871994,0.00003905219,0.00002319326,0.00004085529,0.00003406905,0.00007225733],"category_scores_gemma":[0.000001896097,0.0001188855,0.00003868017,0.0003649323,0.00002344295,0.0001469145,8.021623e-7,0.0001659241,0.000007544764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005799363,"about_ca_system_score_gemma":0.000005676755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000354759,"about_ca_topic_score_gemma":0.00002499725,"domain_scores_codex":[0.9994906,0.000008705209,0.000166846,0.0001231014,0.00007580174,0.0001349409],"domain_scores_gemma":[0.9998285,0.00002222502,0.00001451946,0.00005711547,0.000006393391,0.00007128417],"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":[0.000004011054,0.000003015707,0.0004625194,0.00003318118,0.00003733314,0.000001046035,0.0006312303,0.9060576,0.02653237,0.000002746528,0.000002734262,0.06623223],"study_design_scores_gemma":[0.0004318971,0.00003062414,0.01443631,0.00001806739,0.00003607957,0.000002450358,0.0004964021,0.9776963,0.006550705,0.00001467708,0.00009840682,0.0001880997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.427771,0.00007697509,0.5715387,0.0001457175,0.0001056093,0.00005313511,0.000005817129,0.0001820301,0.0001210598],"genre_scores_gemma":[0.9966906,0.00023237,0.002961215,0.0000268004,0.00002384524,0.00001444719,0.000004963862,0.00001816308,0.00002755327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5689197,"threshold_uncertainty_score":0.4848012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391707571","doi":"10.1109/tla.2024.10431419","title":"Fractional-Order Control for Voltage Regulation in Bidirectional Converters: An Experimental Study","year":2024,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Voltage; Voltage regulation; Control theory (sociology); Order (exchange); Control (management); Computer science; Electronic engineering; Engineering; Electrical engineering; Economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01325130483742029,"gpt":0.2723957290287885,"spread":0.2591444241913682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006602738,0.0001990616,0.0002071225,0.0002547271,0.0001000928,0.0000540834,0.00007004109,0.00006392399,0.0005199572],"category_scores_gemma":[0.000004692846,0.0002271733,0.0000876589,0.0004573936,0.00004944456,0.0006260623,8.717984e-7,0.0002187767,0.00004036839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453917,"about_ca_system_score_gemma":0.00003337207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008448818,"about_ca_topic_score_gemma":0.00009264865,"domain_scores_codex":[0.9989332,0.00003254419,0.0003012341,0.0003217876,0.0001806208,0.0002306443],"domain_scores_gemma":[0.9994834,0.0002149606,0.0000223525,0.0001637892,0.00004060449,0.00007488541],"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":[0.0002446588,0.001421375,0.0005531275,0.00009379211,0.0005088802,0.00001957894,0.006025305,0.54207,0.1481161,0.00009535524,0.0005990762,0.3002528],"study_design_scores_gemma":[0.001212334,0.0002424056,0.001825772,0.000021097,0.00004726701,0.000006950368,0.001577939,0.9889151,0.001474819,0.00009517447,0.004306879,0.0002742803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02599115,0.0001110552,0.9705709,0.00007301592,0.001656652,0.0007335625,0.00008213241,0.000652542,0.0001289423],"genre_scores_gemma":[0.9964073,0.000007946302,0.002374977,0.00006380509,0.0001373425,0.0006691883,0.00002695825,0.00006734459,0.0002450908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704162,"threshold_uncertainty_score":0.9263859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405632241","doi":"10.1109/tla.2025.10810400","title":"Personalized Digital Instructor Based on Arduino for Buerger Exercises in Older Adults with Diabetes: Feasibility Study","year":2024,"lang":"en","type":"article","venue":"IEEE Latin America Transactions","topic":"Sports and Physical Education Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Arduino; Diabetes mellitus; Computer science; Embedded system; Medicine; Multimedia; Computer architecture; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.04806437813423216,"gpt":0.4094573792992819,"spread":0.3613930011650498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001717928,0.0001921033,0.0003197552,0.000191571,0.0003496119,0.00005055348,0.0001067328,0.00006897549,0.002557876],"category_scores_gemma":[0.00004427809,0.0001408725,0.0001241847,0.0007457446,0.0001384458,0.0001775796,0.00000226645,0.0005911443,0.00006666124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694844,"about_ca_system_score_gemma":0.000544547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271197,"about_ca_topic_score_gemma":0.0001137792,"domain_scores_codex":[0.9981984,0.0001357874,0.000374515,0.0004999279,0.0003471508,0.0004441879],"domain_scores_gemma":[0.9980337,0.001296071,0.00005682568,0.0003074156,0.0001405773,0.0001654282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006023576,0.0181743,0.6392674,0.003222131,0.0003511343,0.00002508035,0.1166129,0.003802801,0.0001766259,0.0001076887,0.006395329,0.205841],"study_design_scores_gemma":[0.007991991,0.001978787,0.8849354,0.001848813,0.0001433553,2.162506e-7,0.05661061,0.0356525,0.00005383267,0.0001068004,0.009944705,0.0007329524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862447,0.00001723281,0.007089278,0.001046141,0.0005669173,0.00349358,0.0003813392,0.0001442995,0.00101654],"genre_scores_gemma":[0.9951711,0.000002793536,0.0003449719,0.0002875513,0.0001277845,0.002394187,0.0000457374,0.00004360504,0.001582326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.245668,"threshold_uncertainty_score":0.9983539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}