{"meta":{"query_hash":"179e02223b33","filters":{"venue":"Revista de Engenharia e Tecnologia"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/179e02223b33","api":"https://metacan.xera.ac/api/v1/cohort?venue=Revista+de+Engenharia+e+Tecnologia"},"results":[{"id":"W2173492578","doi":"","title":"PREVISOR SVR-LSSVR WAVELET NA PROJEÇÃO DE SÉRIES TEMPORAIS","year":2015,"lang":"pt","type":"article","venue":"Revista de Engenharia e Tecnologia","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","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":"Mathematics; Support vector machine; Wavelet; Humanities; Artificial intelligence; Computer science; Philosophy","score_opus":0.06713114773101062,"score_gpt":0.33141165712343024,"score_spread":0.26428050939241965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173492578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032755412,0.0037204572,0.9559059,0.0003784378,0.00020097548,0.000039813207,0.0002641813,0.0011808481,0.005554027],"genre_scores_gemma":[0.46972382,0.008686468,0.5012244,0.00028856326,0.00029149544,0.00014068422,0.0010151792,0.0005015956,0.0181278],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991335,0.0001947779,0.00009745579,0.00020933997,0.00031191477,0.00005297498],"domain_scores_gemma":[0.9987723,0.000537783,0.0001612157,0.00015259898,0.00033752955,0.000038469243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018149974,0.0007190148,0.00068229414,0.0008445446,0.00025208216,0.0015536641,0.0008868774,0.00078815245,0.0043712035],"category_scores_gemma":[0.0036887305,0.0003688334,0.0008359325,0.0015433853,0.0005615007,0.0013967209,0.00082251686,0.0014269983,0.0012954774],"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":[0.00036995564,0.000085942185,0.0041495445,0.0013768387,0.00015192929,0.00031032864,0.0003188589,0.10994776,0.03057989,0.034402713,0.0043671816,0.81393903],"study_design_scores_gemma":[0.00006006945,0.0008456932,0.0069227405,0.00042999728,0.00021401241,0.0009336341,0.00044462422,0.8382975,0.049980618,0.02316721,0.07860492,0.00009907085],"about_ca_topic_score_codex":0.0023168053,"about_ca_topic_score_gemma":0.00267233,"teacher_disagreement_score":0.0043712035,"about_ca_system_score_codex":0.00047739266,"about_ca_system_score_gemma":0.0006872624,"threshold_uncertainty_score":0.0146231055},"labels":[],"label_agreement":null}]}