{"id":"W2507735444","doi":"10.5151/marine-spolm2015-140488","title":"PREVISÃO DE CURTO PRAZO DA SÉRIE TEMPORAL CANADIAN LYNX VIA REDES NEURAIS ARTIFICIAIS E DECOMPOSIÇÃO WAVELET","year":2016,"lang":"pt","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Computer science; Humanities; Philosophy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005427783,0.0005706368,0.0003765948,0.0007679167,0.000481785,0.001265866,0.0006430991,0.0005457438,0.002127183],"category_scores_gemma":[0.001626301,0.0002898982,0.0004917097,0.0007166875,0.000505141,0.0007911657,0.0008304161,0.0005288654,0.0003125765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132785,"about_ca_system_score_gemma":0.001912263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09565064,"about_ca_topic_score_gemma":0.1307415,"domain_scores_codex":[0.9997903,0.00002123141,0.00001022171,0.00007125029,0.00006587953,0.00004108972],"domain_scores_gemma":[0.9996841,0.00009605673,0.00004630263,0.0000365782,0.0001025587,0.00003437928],"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":[0.0004875709,0.00008977684,0.03707392,0.0003381406,0.000164528,0.0005818142,0.001109998,0.1727967,0.1525076,0.01101722,0.002215085,0.6216177],"study_design_scores_gemma":[0.00003255908,0.0002877155,0.07272546,0.0001056558,0.0002363816,0.0003445584,0.001107935,0.8604297,0.04193619,0.008509776,0.01415681,0.0001272435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5637143,0.001220823,0.4182004,0.0006428009,0.0001492523,0.00006512674,0.0004883011,0.001055312,0.01446365],"genre_scores_gemma":[0.8974224,0.0005999925,0.09509659,0.00008803045,0.00002707019,0.00003101254,0.0001826322,0.00008558641,0.006466785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9043493,"threshold_uncertainty_score":0.1901878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918129699956057,"score_gpt":0.2518626536588673,"score_spread":0.2226813566593067,"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."}}