{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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":"ce8d5caae919","filters":{"venue":"ITU Journal on Future and Evolving Technologies"}},"results":[{"id":"W4312128045","doi":"10.52953/ehjp3291","title":"Intelligent proactive fault tolerance at the edge through resource usage prediction","year":2022,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":9,"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":"European Commission","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Distributed computing; Fault tolerance; Benchmark (surveying); Edge computing; Resource (disambiguation); Node (physics); Resource allocation; Quality of service; CloudSim; Reliability (semiconductor); Mean squared error; Machine learning; Artificial intelligence; Computer network; Power (physics); Cloud computing; Engineering","authors":[{"name":"Θεόδωρος Θεοδωρόπουλος","is_ca":true},{"name":"John Violos","is_ca":true},{"name":"Stylianos Tsanakas","is_ca":true},{"name":"Aris Leivadeas","is_ca":true},{"name":"Konstantinos Tserpes","is_ca":true},{"name":"Theodora Varvarigou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01639744865778712,"gpt":0.2339954563293717,"spread":0.2175980076715846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005030202,0.0006429085,0.0004595844,0.0003113737,0.0002370015,0.0005302381,0.0011647,0.0005079739,0.0005526483],"category_scores_gemma":[0.001676026,0.0001765287,0.0002761779,0.0002451915,0.0002979724,0.001094756,0.000572516,0.0007161614,0.000171812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004847139,"about_ca_system_score_gemma":0.0006203848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0059034,"about_ca_topic_score_gemma":0.006533026,"domain_scores_codex":[0.9997709,0.00004134766,0.00001082039,0.00006308759,0.00006192079,0.00005178488],"domain_scores_gemma":[0.9995215,0.0001672906,0.0000940799,0.00007344328,0.0001135192,0.00003005461],"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":[0.0001450248,0.00009229229,0.003387742,0.00004482833,0.00005030878,0.00009134798,0.00006618454,0.8578961,0.01200267,0.001728588,0.001366877,0.123128],"study_design_scores_gemma":[0.000002103943,0.00001657143,0.0002937507,0.000002651453,0.000005956685,0.00001133174,0.000006080233,0.9966981,0.001981954,0.0007929196,0.0001849994,0.000003661808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565804,0.0006310521,0.837053,0.0003495227,0.00008195096,0.00003833733,0.000102137,0.002556875,0.002606628],"genre_scores_gemma":[0.9698126,0.0001095426,0.02906965,0.00009241861,0.00001482615,0.00002104688,0.00007800737,0.00004143442,0.0007605697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0059034,"threshold_uncertainty_score":0.01173806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312006325","doi":"10.52953/zpdb8065","title":"SFCaaS: Service function chains as a service in NFV environments","year":2022,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":7,"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":"Computer science; Service (business); Provisioning; Heuristic; Orchestration; Function (biology); Resource allocation; Resource (disambiguation); Network Functions Virtualization; Distributed computing; Operations research; Service provider; Software deployment; Virtual network; Computer network; Cloud computing; Software engineering; Business; Artificial intelligence; Engineering","authors":[{"name":"Tarik Moufakir","is_ca":true},{"name":"Mohamed Faten Zhani","is_ca":true},{"name":"Abdelouahed Gherbi","is_ca":true},{"name":"Moayad Aloqaily","is_ca":false},{"name":"Nadir Ghrada","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009179954871335933,"gpt":0.2031470440064237,"spread":0.1939670891350878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998022,0.0009874569,0.0005725845,0.0008423316,0.001625079,0.00279903,0.002162098,0.001602089,0.008564406],"category_scores_gemma":[0.005121814,0.0003726979,0.0007670058,0.001642821,0.001121527,0.003317835,0.002799048,0.001604865,0.0009877989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002829958,"about_ca_system_score_gemma":0.002786895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358233,"about_ca_topic_score_gemma":0.01367861,"domain_scores_codex":[0.9984079,0.0005009914,0.00007471228,0.0002077093,0.0003252964,0.0004833736],"domain_scores_gemma":[0.9979554,0.0007131021,0.0002499691,0.0003735787,0.0002707776,0.0004371157],"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":[0.0006190714,0.0005205726,0.003962822,0.000425738,0.00009036547,0.0006321602,0.0004544784,0.6309057,0.01129627,0.1299712,0.02779639,0.1933252],"study_design_scores_gemma":[0.00005012136,0.0001335434,0.000631014,0.00004843745,0.000011564,0.0002021573,0.0002402047,0.9430653,0.00206011,0.03085459,0.02267443,0.00002857055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.129584,0.0008537404,0.8362546,0.001635312,0.0002619912,0.0009828981,0.00103597,0.004549799,0.02484174],"genre_scores_gemma":[0.7422884,0.0005429337,0.2494635,0.0002402533,0.00007480686,0.000395584,0.001448956,0.0003631177,0.005182524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01358233,"threshold_uncertainty_score":0.02865082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3203778341","doi":"10.52953/nbqh9604","title":"On the evolution of infrastructure sharing in mobile networks: A survey","year":2020,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Scope (computer science); Relation (database); Key (lock); Virtualization; Context (archaeology); Shared resource; Telecommunications; Business; Computer security; Cloud computing; Geography","authors":[{"name":"Brunilde Sansò","is_ca":true},{"name":"Lorela Cano","is_ca":false},{"name":"Antonio Capone","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02316326067114625,"gpt":0.2476785530381432,"spread":0.224515292366997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001403932,0.000804974,0.0009716816,0.004113039,0.0006764196,0.002293536,0.001047697,0.001393246,0.003349137],"category_scores_gemma":[0.003052244,0.0005892947,0.0004836084,0.01015511,0.0009270611,0.0067122,0.001437668,0.001611116,0.001250246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209153,"about_ca_system_score_gemma":0.001211898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198192,"about_ca_topic_score_gemma":0.001618891,"domain_scores_codex":[0.9990975,0.0001592629,0.00009647596,0.0002081505,0.0003398182,0.00009881875],"domain_scores_gemma":[0.9969333,0.001978623,0.0002357272,0.0001289353,0.0005869615,0.0001362736],"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":[0.00007756375,0.0001190892,0.004442797,0.00579272,0.00005902776,0.0002484678,0.0006418142,0.005311329,0.001238418,0.07319683,0.01913758,0.8897344],"study_design_scores_gemma":[0.00001068636,0.0002894926,0.006477235,0.004447497,0.0001036602,0.002275427,0.001494883,0.006912149,0.001019658,0.04593804,0.9309372,0.00009417579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009459363,0.9451303,0.01620873,0.002729651,0.0007363542,0.00004373854,0.0002160002,0.0000690633,0.02540684],"genre_scores_gemma":[0.02984837,0.9582087,0.006485509,0.0007223449,0.001275841,0.00003338172,0.0003624735,0.00003196626,0.003031362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004113039,"threshold_uncertainty_score":0.01120394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4300960895","doi":"10.52953/xbpt2357","title":"RFNet: Fast and efficient neural network for modulation classification of radio frequency signals","year":2022,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Pointwise; Modulation (music); Convolutional neural network; Artificial neural network; SIGNAL (programming language); Convolution (computer science); Algorithm; Computer engineering; Artificial intelligence; Mathematics","authors":[{"name":"Mohammad Chegini","is_ca":true},{"name":"Pouya Shiri","is_ca":true},{"name":"Amirali Baniasadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02156078212384268,"gpt":0.2422941194134349,"spread":0.2207333372895922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240613,0.001810803,0.000778162,0.0009549322,0.0003779485,0.0006741751,0.00171747,0.001017495,0.003472355],"category_scores_gemma":[0.00134039,0.0004272509,0.0006058051,0.0007769135,0.0003131683,0.001182042,0.0008372171,0.00141725,0.002265778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007884038,"about_ca_system_score_gemma":0.0008521987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009179272,"about_ca_topic_score_gemma":0.01419201,"domain_scores_codex":[0.9996997,0.00003837183,0.00001643394,0.00008902558,0.00009678891,0.00005969427],"domain_scores_gemma":[0.9997844,0.00005774989,0.00003042384,0.00003936424,0.00007211237,0.00001602023],"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":[0.0004488495,0.0002402794,0.002054047,0.000278212,0.0001988709,0.0002279328,0.00005528177,0.1342737,0.02557145,0.003090092,0.0594566,0.7741047],"study_design_scores_gemma":[0.00004391026,0.00008860444,0.000751656,0.00002809742,0.00003103665,0.00008439276,0.00001553373,0.9780542,0.0115808,0.00232657,0.006973358,0.00002187847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1156087,0.007911407,0.8079466,0.00135191,0.001308841,0.0004339642,0.005608503,0.04501745,0.01481269],"genre_scores_gemma":[0.5344801,0.002329214,0.412719,0.001022827,0.0004156606,0.0005430959,0.02485256,0.001021748,0.02261584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009179272,"threshold_uncertainty_score":0.01825166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201991221","doi":"10.52953/tdhg1720","title":"Performance of a parallel Hamming coding in short-frame OFDM sensor's network","year":2021,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Hamming code; Computer science; Hamming bound; Constant-weight code; Cyclic code; Coding theory; Encoder; Hamming(7,4); Hamming distance; Forward error correction; Error detection and correction; Code rate; Coding gain; Reed–Solomon error correction; Coding (social sciences); Algorithm; Linear code; Decoding methods; Block code; Mathematics","authors":[{"name":"Jorge Fernandez-Mayoralas","is_ca":true},{"name":"Raouia Masmoudi Ghodhbane","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01089055305731883,"gpt":0.20202119002694,"spread":0.1911306369696212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005689776,0.0005411039,0.0003917416,0.0004231417,0.0004768794,0.0004523805,0.0004116836,0.0004960367,0.001821547],"category_scores_gemma":[0.001741009,0.0001031908,0.0002166085,0.0002910874,0.0004552256,0.0006592178,0.0004779555,0.0003054878,0.0002344325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008915442,"about_ca_system_score_gemma":0.0007049576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004923746,"about_ca_topic_score_gemma":0.003393657,"domain_scores_codex":[0.9995988,0.00009012518,0.00001817091,0.00006231297,0.0001440742,0.00008656243],"domain_scores_gemma":[0.998197,0.0008495782,0.000198907,0.000129154,0.0005639804,0.0000612333],"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":[0.001466172,0.0001765877,0.003211495,0.0002634723,0.00008502122,0.0003356663,0.0001637696,0.8587196,0.06296493,0.0057415,0.001186868,0.06568491],"study_design_scores_gemma":[0.00001855313,0.0004052471,0.0007618889,0.00001269179,0.0000243821,0.0001200853,0.00003794502,0.9623996,0.03498602,0.0007904223,0.0004284277,0.00001467167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856827,0.0005317649,0.103034,0.000341555,0.00008939137,0.00006243726,0.0002364966,0.0008613675,0.009160209],"genre_scores_gemma":[0.9930028,0.0000891283,0.006044862,0.00002371541,0.000004619448,0.00001307711,0.00005490716,0.00001438101,0.0007525649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004923746,"threshold_uncertainty_score":0.009790182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386691567","doi":"10.52953/afyw5455","title":"Designing graph neural networks training data with limited samples and small network sizes","year":2023,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Mitacs","keywords":"Computer science; Artificial neural network; Pipeline (software); Graph; Artificial intelligence; Data mining; Machine learning; Training set; Baseline (sea); Domain (mathematical analysis); Feature (linguistics); Small data; Node (physics); Engineering; Theoretical computer science; Mathematics","authors":[{"name":"Junior Momo Ziazet","is_ca":false},{"name":"Charles Boudreau","is_ca":true},{"name":"Oscar Delgado","is_ca":true},{"name":"Brigitte Jaumard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05848140215441747,"gpt":0.250777585829844,"spread":0.1922961836754265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553385,0.0009108876,0.0004738365,0.0007177459,0.0004388341,0.0005657231,0.002061039,0.001175563,0.001810161],"category_scores_gemma":[0.009831081,0.000593552,0.0006385077,0.0006802739,0.0007173339,0.001596073,0.0009438984,0.00182066,0.0006158301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129651,"about_ca_system_score_gemma":0.0008414793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007371992,"about_ca_topic_score_gemma":0.01418818,"domain_scores_codex":[0.9993476,0.0002149652,0.00004322252,0.0001897074,0.0001381149,0.00006631641],"domain_scores_gemma":[0.9976442,0.001046244,0.0001413669,0.0005033746,0.0005928436,0.00007190127],"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":[0.0002639699,0.0004337456,0.008238965,0.0003787998,0.0001149305,0.0001791046,0.0001201655,0.8253759,0.01413597,0.004950363,0.01194986,0.1338583],"study_design_scores_gemma":[0.0000333208,0.00008475916,0.0009200204,0.00001314684,0.00001075845,0.00002589924,0.00003475647,0.9861216,0.008477493,0.002783059,0.001486644,0.000008506976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3918719,0.0005043182,0.5877101,0.001266242,0.0002887647,0.0009565853,0.004524212,0.007959774,0.004918239],"genre_scores_gemma":[0.6111654,0.0002306426,0.3761792,0.0003539613,0.00003441617,0.001158684,0.008480712,0.0003866059,0.00201047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007371992,"threshold_uncertainty_score":0.01465815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4300960448","doi":"10.52953/giod4389","title":"Addressing RouteNet scalability through input and output design","year":2022,"lang":"en","type":"article","venue":"ITU Journal on Future and Evolving Technologies","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Computer Research Institute of Montréal; Concordia University","funders":"Mitacs","keywords":"Computer science; Scalability; Network topology; Distributed computing; Key (lock); Software deployment; Queueing theory; Field (mathematics); Artificial neural network; Jitter; Machine learning; Computer network; Software engineering","authors":[{"name":"Junior Momo Ziazet","is_ca":false},{"name":"Charles Boudreau","is_ca":true},{"name":"Brigitte Jaumard","is_ca":true},{"name":"Huy Duong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05360715564660437,"gpt":0.2648376412623467,"spread":0.2112304856157423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002921269,0.001255277,0.0008922508,0.0008712806,0.0006664723,0.002362507,0.002888664,0.001164876,0.009215594],"category_scores_gemma":[0.00924848,0.0005811349,0.0005640903,0.0006554683,0.001112997,0.003476872,0.002148963,0.001698294,0.001808245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553051,"about_ca_system_score_gemma":0.001771494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00456281,"about_ca_topic_score_gemma":0.006693615,"domain_scores_codex":[0.9987943,0.0003529138,0.0000811328,0.0002900776,0.0003171671,0.0001644042],"domain_scores_gemma":[0.996606,0.001330504,0.0002232526,0.0007465638,0.0009878429,0.0001058224],"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":[0.0002640373,0.0001660234,0.002226696,0.0002540852,0.00007926719,0.0002308553,0.0002200177,0.7325343,0.01172793,0.04179776,0.005656182,0.2048429],"study_design_scores_gemma":[0.00001641964,0.00004429707,0.0000906188,0.00001413843,0.00001552957,0.00003904006,0.0000305824,0.9800193,0.005131494,0.01170819,0.002881633,0.000008755364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01405581,0.0001425006,0.9753643,0.0003647655,0.00008158087,0.0001099606,0.0001057642,0.004139161,0.005636193],"genre_scores_gemma":[0.6465301,0.0002774507,0.3441377,0.0003533187,0.00009769548,0.0003796477,0.0004429375,0.0008315059,0.00694958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009215594,"threshold_uncertainty_score":0.03082925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}