{"meta":{"query_hash":"d3661f648610","filters":{"venue":"Congresso Brasileiro de Automática"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d3661f648610","api":"https://metacan.xera.ac/api/v1/cohort?venue=Congresso+Brasileiro+de+Autom%C3%A1tica"},"results":[{"id":"W2903838993","doi":"10.20906/cps/cba2018-0328","title":"ANÁLISE DAS TENSÕES INDUZIDAS EM TORRES DE TRANSMISSÃO USANDO MÉTODO DOS MOMENTOS","year":2018,"lang":"pt","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","score_opus":0.014702126248112658,"score_gpt":0.2934719601913363,"score_spread":0.27876983394322363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903838993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784461,0.0017815718,0.0024692605,0.001471777,0.0010015888,0.0007616733,0.00022202476,0.00033530834,0.013510676],"genre_scores_gemma":[0.9815738,0.000051305105,0.0006211702,0.0007057126,0.0027098001,0.00013781793,0.00007467654,0.0001683153,0.013957384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944203,0.00041315483,0.0009060683,0.0011801714,0.00061197876,0.0024683138],"domain_scores_gemma":[0.99670714,0.00038427126,0.00038072286,0.0011793564,0.00028892513,0.0010596123],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006058592,0.0009608375,0.0010008077,0.00028087292,0.00085652666,0.00080797763,0.001133172,0.00041997165,0.0051432964],"category_scores_gemma":[0.00009394533,0.0009423581,0.00040902212,0.00060873764,0.0007124349,0.0003831752,0.00022293386,0.000901069,0.00091330503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015424801,0.004386524,0.4076642,0.0007347247,0.003958231,0.0003482162,0.07471666,0.00008637341,0.11609319,0.01889922,0.25531846,0.1162517],"study_design_scores_gemma":[0.02003075,0.007719888,0.4783374,0.002761747,0.0037442364,0.00021726596,0.0073040985,0.040459007,0.17156787,0.013872804,0.24637924,0.007605669],"about_ca_topic_score_codex":0.00023929932,"about_ca_topic_score_gemma":0.00003036544,"teacher_disagreement_score":0.10864603,"about_ca_system_score_codex":0.00030885517,"about_ca_system_score_gemma":0.0008503713,"threshold_uncertainty_score":0.9998646},"labels":[],"label_agreement":null},{"id":"W2904518345","doi":"10.20906/cps/cba2018-1099","title":"Reinsurance Analytics Using Serial and Parallel Computation on the Multiobjective Evolutionary Algorithm SPEA2","year":2018,"lang":"en","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Evolutionary computation; Reinsurance; Computation; Analytics; Evolutionary algorithm; Parallel computing; Mathematical optimization; Algorithm; Artificial intelligence; Data mining; Mathematics; Finance","score_opus":0.0333921936794001,"score_gpt":0.29691828883026733,"score_spread":0.2635260951508672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904518345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5593787,0.00013410591,0.43906543,0.000050488343,0.00043891705,0.00015704035,0.000012987111,0.00023631335,0.00052604853],"genre_scores_gemma":[0.8765361,0.000024217266,0.1229078,0.000051884395,0.00038334145,0.000008590365,0.0000060695834,0.00003500154,0.000047021815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989978,0.000114306014,0.00021872779,0.00020634297,0.00018613473,0.00027667006],"domain_scores_gemma":[0.9990624,0.00046905756,0.00004179682,0.00021831019,0.00011858425,0.000089826186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862753,0.0001844271,0.0001821025,0.00009492629,0.00019989834,0.000076680364,0.00012260779,0.00010924545,0.00003141717],"category_scores_gemma":[0.00021603206,0.00015739401,0.000045009856,0.00022779281,0.00017134272,0.00012057339,0.000030466532,0.00020942312,0.00001670682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002173886,0.000012600686,0.0013062258,0.000019221672,0.000060143037,0.000006519684,0.0003159817,0.9933766,0.0008283419,0.00041275384,0.00032598907,0.0033138609],"study_design_scores_gemma":[0.0004580042,0.000045032444,0.06666708,0.00004971199,0.000020096637,0.000015502073,0.00003389937,0.93119514,0.00056034926,0.0005527676,0.00022812287,0.00017429961],"about_ca_topic_score_codex":0.000012904402,"about_ca_topic_score_gemma":0.0000020222917,"teacher_disagreement_score":0.3171574,"about_ca_system_score_codex":0.00011855968,"about_ca_system_score_gemma":0.00002866848,"threshold_uncertainty_score":0.64183414},"labels":[],"label_agreement":null},{"id":"W2905307055","doi":"10.20906/cps/cba2018-0199","title":"MK4: PROGRAMA PARA SÍNTESE DE FUNÇÕES MAJORITÁRIAS COM ATÉ QUATRO VARIÁVEIS DE ENTRADA.","year":2018,"lang":"pt","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Physics; Humanities; Art","score_opus":0.020414651617740774,"score_gpt":0.30214170263433093,"score_spread":0.2817270510165902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905307055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07929399,0.003389882,0.9036471,0.001220809,0.0012953833,0.0011654162,0.00021266418,0.005398574,0.0043761516],"genre_scores_gemma":[0.90359294,0.0005361623,0.09163914,0.0006477063,0.0007926372,0.00020423473,0.00007697452,0.00029426164,0.002215959],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99531746,0.00036039887,0.00090963487,0.0008571278,0.00046442862,0.0020909416],"domain_scores_gemma":[0.9967369,0.0006507616,0.00030174616,0.0011392646,0.00035177494,0.00081958785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000845616,0.00087034045,0.0008437422,0.00032033012,0.00052688597,0.00057522435,0.0009429789,0.0007688313,0.0008835381],"category_scores_gemma":[0.0010463047,0.000987964,0.0002945982,0.00066669536,0.0006309185,0.00040251593,0.00024176597,0.0010750871,0.00024379804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016700776,0.004045643,0.45293915,0.0042079384,0.0040929746,0.0023560128,0.048075303,0.04786948,0.02428347,0.056292895,0.13974276,0.21442428],"study_design_scores_gemma":[0.0025330877,0.0010532091,0.028778331,0.0011783002,0.00062858145,0.00038299392,0.00060391787,0.8935609,0.026810644,0.0039351364,0.038252924,0.002281989],"about_ca_topic_score_codex":0.00015297269,"about_ca_topic_score_gemma":0.00004934207,"teacher_disagreement_score":0.8456914,"about_ca_system_score_codex":0.00068920274,"about_ca_system_score_gemma":0.0004824562,"threshold_uncertainty_score":0.9992571},"labels":[],"label_agreement":null},{"id":"W4388806758","doi":"10.20906/cba2022/3546","title":"Ferramenta Computacional para o Planejamento da Expansão de Redes de Distribuição Considerando Confiabilidade","year":2022,"lang":"pt","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Automation; Reliability (semiconductor); Reliability engineering; Software; Computer science; Plan (archaeology); Software quality; Process (computing); Work (physics); Engineering; Power (physics); Software development","score_opus":0.032641141337279383,"score_gpt":0.2801859977909132,"score_spread":0.2475448564536338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388806758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463061,0.0060271025,0.031283956,0.0034010445,0.0034906797,0.0020726915,0.0035786987,0.0012551658,0.002584552],"genre_scores_gemma":[0.9953324,0.00013047055,0.0008281929,0.0012512597,0.00022900611,0.0005349237,0.00027914293,0.0001533915,0.0012611904],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99339026,0.0011310647,0.0012658006,0.00107802,0.00087741204,0.0022574272],"domain_scores_gemma":[0.9960432,0.0014423998,0.00032793355,0.001175286,0.00011834759,0.0008928472],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018985337,0.00087139575,0.0012270215,0.00021531217,0.0008974939,0.0005571836,0.0011501554,0.0004093643,0.0029903827],"category_scores_gemma":[0.00060398644,0.001032436,0.00044034922,0.00044902955,0.0005441608,0.00022623292,0.00062860234,0.0016091998,0.00012378601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034937419,0.0048508537,0.2228361,0.007432222,0.005106687,0.008231708,0.046706446,0.27136844,0.046046168,0.04495751,0.33103305,0.00793705],"study_design_scores_gemma":[0.016039133,0.0014433594,0.11358856,0.002118876,0.001166726,0.006450032,0.01280313,0.55325145,0.00938088,0.0050173355,0.27358913,0.005151393],"about_ca_topic_score_codex":0.00037065707,"about_ca_topic_score_gemma":0.00004030879,"teacher_disagreement_score":0.281883,"about_ca_system_score_codex":0.003130303,"about_ca_system_score_gemma":0.0011103497,"threshold_uncertainty_score":0.9992126},"labels":[],"label_agreement":null},{"id":"W4388806861","doi":"10.20906/cba2022/3442","title":"Avaliação crítica de inserção de eletropostos em redes de distribuição considerando mitigação por agendamento de recargas","year":2022,"lang":"pt","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Groundwater recharge; Electric power system; Monte Carlo method; Schedule; Computer science; Scheduling (production processes); Power grid; Grid; Reliability engineering; Environmental science; Engineering; Power (physics); Mathematical optimization; Mathematics; Statistics; Operating system","score_opus":0.013860314397727825,"score_gpt":0.25157719381656923,"score_spread":0.2377168794188414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388806861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731,0.008414991,0.010883225,0.0020844857,0.000861702,0.001060186,0.0011612916,0.0010481725,0.0013859665],"genre_scores_gemma":[0.9880807,0.0007363785,0.0049426113,0.0029505347,0.0004741087,0.00031044972,0.00018282536,0.00038108174,0.0019413211],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99154943,0.0012264274,0.0013053756,0.0011535841,0.000914583,0.0038506123],"domain_scores_gemma":[0.99564105,0.00097545143,0.00041933532,0.001277894,0.0002003895,0.0014859032],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016877407,0.0011737696,0.0013124013,0.000459562,0.0013434209,0.0006732509,0.0013937433,0.00079494633,0.004912486],"category_scores_gemma":[0.0012486676,0.0014118231,0.00065148756,0.0010773567,0.00032337374,0.00030666302,0.0005583095,0.0029686915,0.000076806995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019387639,0.0014012342,0.25675517,0.0024831297,0.004291473,0.012258147,0.03955182,0.031414773,0.26300415,0.009564305,0.33231568,0.045021348],"study_design_scores_gemma":[0.014801582,0.0026347921,0.25729823,0.0011985744,0.0031940471,0.012752805,0.011480059,0.4966743,0.11291004,0.011706049,0.068871975,0.006477556],"about_ca_topic_score_codex":0.00033996417,"about_ca_topic_score_gemma":0.00009640906,"teacher_disagreement_score":0.46525952,"about_ca_system_score_codex":0.0052680788,"about_ca_system_score_gemma":0.0024260413,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W4416996737","doi":"10.20906/cba2024/4428","title":"Analysis of Distributed Generation’s Impact on the Protection System of Power Distribution Systems","year":2024,"lang":"","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Distributed generation; Electric power system; Key (lock); Electricity; Electricity generation; Distributed power generation; Power (physics); Power-system protection","score_opus":0.01955992722115168,"score_gpt":0.26637023484121364,"score_spread":0.24681030762006195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416996737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72404635,0.003470871,0.2580064,0.00007341702,0.005078573,0.0018005507,0.0066894703,0.0005889622,0.0002454299],"genre_scores_gemma":[0.9986742,0.000038486523,0.0000062039785,0.0000027538129,0.00030147156,0.0003206358,0.0004921018,0.00009829579,0.00006585713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947779,0.0008396349,0.0018998467,0.0007364951,0.0010088835,0.00073724857],"domain_scores_gemma":[0.9966142,0.0006350217,0.00061989116,0.0013334195,0.0005717851,0.00022568477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018711884,0.0007086827,0.0013692435,0.00090439967,0.0002325683,0.00045277976,0.00048427747,0.00063731277,0.0001523109],"category_scores_gemma":[0.00048493023,0.00053513295,0.0010725498,0.0045447587,0.00021640799,0.00032711483,0.000070575596,0.00071231776,0.000060138973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040190373,0.00044109463,0.007069705,0.008920992,0.038471814,0.00013615121,0.0023972897,0.77842975,0.12469194,0.03022946,0.005531925,0.0032779747],"study_design_scores_gemma":[0.0002584898,0.0003626082,0.0347023,0.002030405,0.003468657,0.000062927065,0.00031560205,0.9419096,0.01531156,0.0000036933425,0.0011463674,0.00042778577],"about_ca_topic_score_codex":0.000637632,"about_ca_topic_score_gemma":0.000023367249,"teacher_disagreement_score":0.27462786,"about_ca_system_score_codex":0.0029328011,"about_ca_system_score_gemma":0.00030313653,"threshold_uncertainty_score":0.99971},"labels":[],"label_agreement":null},{"id":"W4416997064","doi":"10.20906/cba2024/4398","title":"Rede SOM para Aprendizado de Representações Multimodais com Aplicação em Petrofísica","year":2024,"lang":"","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Petrobras; Institute for Catastrophic Loss Reduction","keywords":"Benchmark (surveying); Unsupervised learning; Set (abstract data type); Deep learning; Generative grammar; Supervised learning; Data set; Generative model","score_opus":0.02533496884675193,"score_gpt":0.2947490774315926,"score_spread":0.2694141085848407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416997064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65467525,0.057520073,0.21635361,0.017685685,0.008444489,0.0029342305,0.0011017054,0.011467228,0.02981775],"genre_scores_gemma":[0.9851716,0.0031600618,0.0021468573,0.00043568132,0.0009976756,0.00027921316,0.00017958239,0.00040254265,0.0072267638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9924981,0.0006183591,0.0016558461,0.0018132653,0.0011002098,0.002314219],"domain_scores_gemma":[0.99484503,0.0011067649,0.00020735258,0.00221815,0.00021151123,0.0014111974],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010135025,0.0012618684,0.0014521369,0.0010388064,0.0005804482,0.0021757248,0.001455726,0.0010149371,0.0038413545],"category_scores_gemma":[0.00082108757,0.0013064604,0.0012255732,0.0019852417,0.00050809706,0.0009233065,0.0005050728,0.0020210638,0.0020155306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067645166,0.0026032932,0.045025323,0.008852521,0.02026044,0.012896652,0.055092238,0.3684698,0.11960393,0.013143321,0.2599049,0.09347116],"study_design_scores_gemma":[0.00096728466,0.00010869782,0.0062378524,0.0009108925,0.0011792075,0.00015397908,0.0012269997,0.94937104,0.009173307,0.0008255644,0.028443549,0.0014015984],"about_ca_topic_score_codex":0.00023622678,"about_ca_topic_score_gemma":0.00013536279,"teacher_disagreement_score":0.58090127,"about_ca_system_score_codex":0.00091280666,"about_ca_system_score_gemma":0.0005925822,"threshold_uncertainty_score":0.9989385},"labels":[],"label_agreement":null},{"id":"W4416997147","doi":"10.20906/cba2024/4295","title":"Cálculo da capacidade total em células de íon de lítio via mínimos quadrados","year":2024,"lang":"","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Linear regression; Limit (mathematics); Sensitivity (control systems); Least-squares function approximation; Regression analysis; Partial least squares regression; Linear model","score_opus":0.018259154338810132,"score_gpt":0.29637633325887336,"score_spread":0.2781171789200632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416997147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79826295,0.011626388,0.17543632,0.0017556639,0.002331448,0.0013812411,0.00028845467,0.0062377737,0.0026797343],"genre_scores_gemma":[0.98374957,0.0007688832,0.011268759,0.00023911796,0.0008768038,0.0004435161,0.000044254433,0.0005829837,0.0020261272],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99086887,0.00038073462,0.0013333667,0.0017744013,0.0011612056,0.004481403],"domain_scores_gemma":[0.9948814,0.0014082699,0.00015838863,0.0022454113,0.00023097798,0.0010755612],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001014418,0.0014286746,0.0012127877,0.001116971,0.0004953628,0.0017834209,0.002064482,0.0017487362,0.0019462246],"category_scores_gemma":[0.001741323,0.0016369683,0.000613546,0.0019281189,0.0011204277,0.0010969435,0.0010215091,0.0042342646,0.0016829771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000258267,0.0005624948,0.018675504,0.0055039157,0.002304652,0.012551313,0.0069306865,0.047378343,0.32390714,0.007320896,0.014807191,0.5597996],"study_design_scores_gemma":[0.0011466579,0.00043606103,0.025479218,0.0017055729,0.00035775814,0.0021710522,0.0011532475,0.8485663,0.10272474,0.0056109605,0.008472761,0.0021757027],"about_ca_topic_score_codex":0.00014477178,"about_ca_topic_score_gemma":0.000054328546,"teacher_disagreement_score":0.80118793,"about_ca_system_score_codex":0.004181478,"about_ca_system_score_gemma":0.0010540402,"threshold_uncertainty_score":0.99984634},"labels":[],"label_agreement":null},{"id":"W7108482114","doi":"10.20906/cba2024/4213","title":"Regression-Based Law of Energy Efficiency in Wireless Sensor Networks","year":2024,"lang":"","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Energy consumption; Cluster analysis; Wireless sensor network; Efficient energy use; Energy (signal processing); Baseline (sea); Transmission (telecommunications); Energy conservation","score_opus":0.013059390344957483,"score_gpt":0.2569688090578425,"score_spread":0.243909418712885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108482114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19184376,0.023232715,0.7628724,0.0015314376,0.00956126,0.00075766334,0.00006411308,0.0013288037,0.008807821],"genre_scores_gemma":[0.99250764,0.0006929287,0.004157686,0.001009516,0.0005639118,0.0000785539,0.000032931235,0.00022402148,0.00073281885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9887744,0.0014447323,0.0024757353,0.0027828494,0.0016315628,0.0028907033],"domain_scores_gemma":[0.99126494,0.0039572227,0.00068252056,0.0028171402,0.0004615191,0.00081667496],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0017441678,0.0014049573,0.0017990802,0.0012340597,0.00041355,0.0010644377,0.0033439498,0.0013808085,0.00026623945],"category_scores_gemma":[0.00022725228,0.001364015,0.0007516758,0.005029687,0.002051731,0.0006484628,0.00091547513,0.001769144,0.000050178394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001373758,0.0009900063,0.002945026,0.00059719465,0.00013764146,0.002715875,0.0005982336,0.69008934,0.0015739335,0.26796025,0.0009769141,0.03127819],"study_design_scores_gemma":[0.0012745943,0.00033247579,0.00182383,0.0074406927,0.00012119016,0.000097066135,0.00003747362,0.97524023,0.009871968,0.00022179114,0.0022154779,0.0013232136],"about_ca_topic_score_codex":0.00062798127,"about_ca_topic_score_gemma":0.00034268593,"teacher_disagreement_score":0.8006639,"about_ca_system_score_codex":0.00064554595,"about_ca_system_score_gemma":0.00144725,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null}]}