{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"fad94daed0c1","filters":{"venue":"Computer Systems Science and Engineering"}},"results":[{"id":"W3168665946","doi":"10.32604/csse.2021.015437","title":"A Data Security Framework for Cloud Computing Services","year":2021,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":10,"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; Computer science; Cloud computing security; Computer security; Data security; Risk analysis (engineering); Encryption; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02838142838399648,"gpt":0.2656280013783914,"spread":0.2372465729943949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001229648,0.0001739255,0.0002397953,0.0001311446,0.0004480348,0.001450685,0.002618741,0.00006850276,3.536306e-7],"category_scores_gemma":[0.0001458914,0.0001851588,0.00002819152,0.001160386,0.00007850714,0.001401686,0.003436122,0.0001738511,0.000005230702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006113832,"about_ca_system_score_gemma":0.0001922301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003221431,"about_ca_topic_score_gemma":0.000007910798,"domain_scores_codex":[0.9977606,0.00002314151,0.0002926871,0.000954192,0.0004382964,0.0005310847],"domain_scores_gemma":[0.99739,0.0003099242,0.00007380069,0.001676382,0.0003371289,0.0002127198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001156095,0.00006661122,0.0002453168,0.0009824801,0.00003945376,0.00004245034,0.003708645,0.009770316,0.0009354367,0.9769001,0.002275723,0.005032327],"study_design_scores_gemma":[0.0001134754,0.00001698173,0.00029567,0.0002676614,0.0000053608,0.0001533833,0.00007379598,0.9783771,0.00007440693,0.0007659081,0.01963427,0.0002219641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01581113,0.001113713,0.9763786,0.0004404692,0.005682399,0.0001983819,0.00006685068,0.0002891916,0.00001926098],"genre_scores_gemma":[0.5681314,0.00001750584,0.430236,0.000201385,0.001358594,0.000008547268,0.00003143755,0.00001200224,0.000003020134],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9761342,"threshold_uncertainty_score":0.9995859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313466951","doi":"10.32604/csse.2023.025705","title":"A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet","year":2022,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Taif University","keywords":"Artificial intelligence; Preprocessor; Coronavirus disease 2019 (COVID-19); Computer science; Classifier (UML); Pattern recognition (psychology); Medicine; Disease; Infectious disease (medical specialty); Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.08215806587383435,"gpt":0.3303472806270992,"spread":0.2481892147532649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009707807,0.0001087268,0.0002423755,0.0003552558,0.000272936,0.00007691456,0.0001839398,0.0000222943,0.000002608942],"category_scores_gemma":[0.0003822635,0.0001105517,0.0000356927,0.0007956239,0.00009355802,0.0001260953,0.0001462365,0.0001100838,2.983425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462233,"about_ca_system_score_gemma":0.0004146955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000125989,"about_ca_topic_score_gemma":2.881667e-7,"domain_scores_codex":[0.9987614,0.00001970989,0.0002549433,0.0003314762,0.0003923476,0.0002401467],"domain_scores_gemma":[0.9990188,0.0003129276,0.0001019481,0.0002662972,0.0001291343,0.0001708273],"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":[0.00001288498,0.00005450057,0.001455607,0.001407224,0.00002317258,0.0000165983,0.0006665969,0.9496778,0.03977799,0.001736323,0.004751362,0.0004199134],"study_design_scores_gemma":[0.0003078594,0.00009989511,0.003080297,0.000222762,0.00002494435,0.0001393631,0.00009803848,0.9883491,0.0002687126,0.000006875456,0.007292245,0.0001099081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1734224,0.0003734694,0.8228044,0.001266364,0.001271197,0.0005287983,0.0000148112,0.0003163199,0.000002306724],"genre_scores_gemma":[0.9476592,0.000004215176,0.05136863,0.000673725,0.0001973621,0.00007031303,0.00000425098,0.00001690296,0.000005413907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7742368,"threshold_uncertainty_score":0.4508169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308415700","doi":"10.32604/csse.2023.031506","title":"Fast Mesh Reconstruction from Single View Based on GCN and Topology Modification","year":2022,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Polygon mesh; Topology (electrical circuits); Network topology; Surface reconstruction; Template; Surface (topology); Representation (politics); Mesh networking; Artificial intelligence; Algorithm; Mathematics; Computer graphics (images); Computer network; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.01565819382883155,"gpt":0.1877228847636651,"spread":0.1720646909348335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002378348,0.00008818795,0.0001288668,0.0001928717,0.000173674,0.00009452685,0.000101073,0.0000202345,0.000003452964],"category_scores_gemma":[0.000005309287,0.00009249822,0.00001475591,0.0002776737,0.00003371143,0.0001077652,0.00003792111,0.0000911561,0.000001324673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371018,"about_ca_system_score_gemma":0.00001057416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003155071,"about_ca_topic_score_gemma":6.339787e-7,"domain_scores_codex":[0.9993289,0.00001238675,0.0001343123,0.0002179918,0.0001622124,0.000144203],"domain_scores_gemma":[0.9997345,0.00002906009,0.00001751448,0.0001353199,0.00002563028,0.00005802188],"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":[4.674224e-7,0.000003558337,0.00005965665,0.00002395182,0.000004923932,8.623413e-7,0.0001041374,0.973704,0.004752093,0.00008175499,0.0000267098,0.02123783],"study_design_scores_gemma":[0.00007245821,0.00002801535,0.0001930716,0.00003656984,0.000006387022,0.00001471529,0.00005383199,0.9990205,0.0001499987,0.00000545154,0.000316437,0.0001025874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3957224,0.0005253015,0.6020202,0.00004171051,0.001355235,0.00005892324,0.00000527167,0.0001680878,0.0001029301],"genre_scores_gemma":[0.9975898,0.00001414927,0.00221354,0.00002047136,0.0001292179,0.00001597283,0.000003532451,0.000008617054,0.00000473695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6018674,"threshold_uncertainty_score":0.3771968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317885027","doi":"10.32604/csse.2023.034230","title":"3D Object Detection with Attention: Shell-Based Modeling","year":2023,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Nanjing University; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Point cloud; Computer science; Artificial intelligence; Minimum bounding box; Object detection; Computer vision; Weighting; Feature (linguistics); Object (grammar); Bounding overwatch; Feature extraction; Point (geometry); Lidar; Pattern recognition (psychology); Image (mathematics); Remote sensing; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01514413620866092,"gpt":0.2121422539018736,"spread":0.1969981176932127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003638961,0.000120894,0.0001104131,0.0002830593,0.0003068522,0.0003293978,0.0004632113,0.00002447586,8.549209e-8],"category_scores_gemma":[0.000006791102,0.0001056647,0.00001549021,0.002289899,0.0000447963,0.0007026201,0.0001564196,0.00008801807,0.00001586881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005715116,"about_ca_system_score_gemma":0.00004583078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007855034,"about_ca_topic_score_gemma":0.000001141382,"domain_scores_codex":[0.9987033,0.000008402742,0.0001484636,0.0004546661,0.0003541609,0.0003310025],"domain_scores_gemma":[0.99932,0.00004321295,0.00003440889,0.0003676844,0.0001262835,0.0001084419],"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":[4.461715e-7,0.000002269806,0.00002946892,0.00002197054,0.000001700514,0.00000414307,0.00003713712,0.9874179,0.005139665,0.0007886351,0.00001041097,0.006546193],"study_design_scores_gemma":[0.00009918674,0.00003869772,0.0004504866,0.0000644032,0.000001719894,0.00003857736,0.000005785919,0.9986072,0.0002375795,0.000009864462,0.0003040973,0.0001423794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06615958,0.00005109956,0.9321024,0.00006258578,0.0007232981,0.0001681252,2.247354e-7,0.0007059222,0.00002673944],"genre_scores_gemma":[0.9589859,0.000004962913,0.04071518,0.00002684774,0.000193232,0.00005152731,5.936329e-7,0.000009254675,0.00001247841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8928263,"threshold_uncertainty_score":0.4308881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317906261","doi":"10.32604/csse.2023.034368","title":"Exploring High-Performance Architecture for Data Center Networks","year":2023,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Hainan University; National Natural Science Foundation of China","keywords":"Clos network; Computer science; Data center; Computer network; Server; Distributed computing; Network architecture; Overlay network; Core network; Fault tolerance; Operating system; The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.07241794980159327,"gpt":0.2231361119459838,"spread":0.1507181621443905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009991262,0.0001763413,0.0001977145,0.0002797667,0.000295514,0.0005950013,0.001839416,0.00003677826,1.046261e-7],"category_scores_gemma":[0.00002857303,0.0001545765,0.00001891446,0.001418866,0.00005169378,0.001596427,0.00128597,0.0001280914,0.000006412004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003058926,"about_ca_system_score_gemma":0.00003817063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191537,"about_ca_topic_score_gemma":5.32963e-7,"domain_scores_codex":[0.998112,0.000008474634,0.0002193119,0.000686248,0.0003273955,0.0006465703],"domain_scores_gemma":[0.9986435,0.0001519254,0.00004356017,0.0009189688,0.00008715562,0.0001549144],"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":[0.000001687504,0.000006102235,0.0005283341,0.0001238644,0.00001050127,0.000006355899,0.0002173564,0.8955016,0.00007058655,0.003463377,0.002435404,0.09763481],"study_design_scores_gemma":[0.0001776526,0.0000431287,0.004059332,0.0001541436,0.000002029738,0.00003177931,0.000003895896,0.9843956,0.00001817383,0.000007222238,0.01090926,0.0001977772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07427805,0.0001876764,0.9182233,0.000127665,0.006308257,0.0002150183,0.000003634608,0.0006485564,0.000007873012],"genre_scores_gemma":[0.9600616,0.0001449377,0.03816343,0.0000767384,0.001422076,0.00008229436,0.00001453071,0.00002045444,0.0000140091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8857835,"threshold_uncertainty_score":0.6303445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317906222","doi":"10.32604/csse.2023.034672","title":"Constructing an AI Compiler for ARM Cortex-M Devices","year":2023,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","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":"Ministry of Science and Technology, Taiwan","keywords":"Compiler; Computer science; MNIST database; Computation; Code (set theory); Deep learning; Artificial neural network; Source code; Computer engineering; Parallel computing; Software; Embedded system; Artificial intelligence; Computer architecture; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.0240396076290203,"gpt":0.2646548148194764,"spread":0.2406152071904561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004951642,0.000133,0.0001626289,0.0002224141,0.0003426681,0.0005133467,0.0008180432,0.00002934802,1.642595e-7],"category_scores_gemma":[0.00001703658,0.0001287671,0.00002025521,0.001360759,0.00009825442,0.00121476,0.0002953778,0.00008288529,0.000008698958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004715032,"about_ca_system_score_gemma":0.00004857779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004811012,"about_ca_topic_score_gemma":0.000001718732,"domain_scores_codex":[0.9985692,0.000008410075,0.0002139119,0.0005234148,0.000253588,0.0004314733],"domain_scores_gemma":[0.9990458,0.0001498069,0.0000589666,0.0003931514,0.0001771647,0.0001751278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001938862,0.00002961496,0.001500386,0.0002582362,0.00001778665,0.00001273828,0.0007838903,0.2797788,0.009373897,0.592555,0.001690623,0.113997],"study_design_scores_gemma":[0.0000992371,0.00004440179,0.001849846,0.00004254639,0.000001656149,0.00005642699,0.00003954244,0.9926226,0.0001354767,0.0001271074,0.004814908,0.0001662337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04636182,0.00005717782,0.9505146,0.0002145246,0.001809425,0.000312865,0.000002568753,0.000683966,0.00004309433],"genre_scores_gemma":[0.9093986,0.000005087595,0.0898856,0.0001480426,0.0004468914,0.00008391579,0.000003406154,0.00001236013,0.00001606818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8630368,"threshold_uncertainty_score":0.5250968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385276677","doi":"10.32604/csse.2023.039736","title":"Evaluation of IoT Measurement Solutions from a Metrology Perspective","year":2023,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Green IT and Sustainability","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":"École de Technologie Supérieure","funders":"","keywords":"Metrology; Computer science; Internet of Things; Strengths and weaknesses; Reliability (semiconductor); Performance measurement; Data science; Identification (biology); Scalability; Measure (data warehouse); Standardization; Reliability engineering; Systems engineering; Risk analysis (engineering); Data mining; Computer security; Engineering; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.05991634260505513,"gpt":0.2448246977673012,"spread":0.1849083551622461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003187198,0.0000769715,0.0001314361,0.0002477181,0.00006651859,0.00003204343,0.0001220885,0.00002964245,0.00000115142],"category_scores_gemma":[0.0001405338,0.0000759705,0.0000191015,0.0006707418,0.00005994071,0.00009662921,0.00005738642,0.00005494251,0.000003544885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646915,"about_ca_system_score_gemma":0.00009029308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902696,"about_ca_topic_score_gemma":0.00001082817,"domain_scores_codex":[0.9987058,0.00002314701,0.0001428716,0.000168999,0.0007273913,0.000231781],"domain_scores_gemma":[0.9988588,0.00003007999,0.00001394455,0.0001554114,0.0008855108,0.0000562268],"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":[4.55522e-7,0.000004688157,0.0002900657,0.00005473607,0.00003451025,8.371579e-7,0.001268005,0.9840594,0.009653567,0.001490375,0.0001719902,0.0029714],"study_design_scores_gemma":[0.0001167498,0.00001586629,0.02712609,0.000025452,0.00002019505,0.00000149555,0.0004307281,0.9718245,0.0001538734,0.0001215562,0.00009211138,0.00007141219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921858,0.001433246,0.1039772,0.00003473234,0.001691848,0.0002260933,0.000003413566,0.0002584228,0.0001892476],"genre_scores_gemma":[0.9995512,0.000004618671,0.0002960389,0.000001126405,0.0001164087,0.00002340615,4.569944e-7,0.000005935527,8.563698e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073653,"threshold_uncertainty_score":0.3097987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889333894","doi":"10.32604/csse.2018.33.021","title":"Probabliistic Analysis Of Electrocardiogram (Ecg) Heart Signal","year":2018,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Probabilistic logic; Computer science; SIGNAL (programming language); Electrocardiography; Artificial intelligence; Pattern recognition (psychology); Cardiology; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01347150884076424,"gpt":0.2430028374225481,"spread":0.2295313285817839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501157,0.0001043154,0.0002557753,0.0007668847,0.0001190951,0.0002431601,0.0007027489,0.00003204045,5.044531e-7],"category_scores_gemma":[0.00004354415,0.0000958128,0.00004981673,0.004388414,0.0001847695,0.0005849575,0.0001946957,0.000061519,0.000003523588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004647256,"about_ca_system_score_gemma":0.00006756979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002027748,"about_ca_topic_score_gemma":3.867821e-7,"domain_scores_codex":[0.9986146,0.00002835457,0.0002542031,0.0003678194,0.0004347002,0.0003003134],"domain_scores_gemma":[0.9989993,0.00004547925,0.00006887801,0.0004432464,0.0003392163,0.0001038871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001211516,0.0001259507,0.009937775,0.0005394814,0.0008880872,0.000009341997,0.003979999,0.2608787,0.1606378,0.4831665,0.0008940784,0.07893016],"study_design_scores_gemma":[0.00003796137,0.0001251702,0.01299862,0.00002610536,0.00002756509,0.00001805542,0.000003684521,0.9838219,0.002094364,0.00001214324,0.0007275547,0.0001069189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03266185,0.0001134703,0.9659795,0.0000120311,0.000899229,0.0001086724,4.809355e-7,0.0001110661,0.0001137678],"genre_scores_gemma":[0.6759736,0.000001721115,0.3238757,0.00001426458,0.0001222539,0.000006661547,2.24294e-7,0.000002761056,0.000002861419],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7229431,"threshold_uncertainty_score":0.3907133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}