{"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,"ca_institutions":"","funders":"","keywords":"Mathematics; Support vector machine; Wavelet; Humanities; Artificial intelligence; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001481942,0.0005844203,0.0006491938,0.0002241283,0.0003591521,0.00083481,0.002189443,0.0004405275,0.00006984745],"category_scores_gemma":[0.0008541134,0.0005688751,0.0002368985,0.001262541,0.0002531134,0.0005410946,0.0009007634,0.0007916445,0.000372441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733735,"about_ca_system_score_gemma":0.001394182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004167158,"about_ca_topic_score_gemma":0.000001927154,"domain_scores_codex":[0.996004,0.0003853958,0.0008893586,0.001141795,0.0005473598,0.001032023],"domain_scores_gemma":[0.9965474,0.0002996107,0.0005743326,0.00151652,0.0005414463,0.0005206649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006482415,0.0005603959,0.001165799,0.0004395379,0.0002135879,0.0001699579,0.002918887,0.0006431921,0.001567643,0.8658529,0.0511864,0.07521689],"study_design_scores_gemma":[0.001725357,0.001457884,0.002809614,0.0009345005,0.000282662,0.0007910169,0.0008233003,0.1590987,0.00561812,0.1126432,0.7108776,0.002938078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008957175,0.004423398,0.9779114,0.00385679,0.0001845005,0.001460504,0.00007458014,0.001271078,0.001860552],"genre_scores_gemma":[0.6126468,0.0004017066,0.3825616,0.000755912,0.0003093318,0.0005409576,0.00005791505,0.00007741356,0.002648342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7532097,"threshold_uncertainty_score":0.9996763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06713114773101062,"score_gpt":0.3314116571234302,"score_spread":0.2642805093924196,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}