{"id":"W2786165902","doi":"10.1109/pesgm.2017.8274667","title":"A novel decomposition-based localized short-term tidal current speed and direction prediction model","year":2017,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Predictability; Autoregressive integrated moving average; Hilbert–Huang transform; Time series; Computer science; Term (time); Autoregressive model; Long-term prediction; Tidal power; Series (stratigraphy); Volatility (finance); Current (fluid); Energy (signal processing); Algorithm; Mathematics; Engineering; Geology; Statistics; Machine learning; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767573,0.0004837112,0.0006484042,0.0003498564,0.0001843929,0.0005662763,0.0009070824,0.0004621359,0.00121391],"category_scores_gemma":[0.0007412791,0.0002323753,0.0005480598,0.0004303107,0.000160197,0.0007096569,0.0004411326,0.0007062848,0.0003980854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152857,"about_ca_system_score_gemma":0.0006122747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008430139,"about_ca_topic_score_gemma":0.005464056,"domain_scores_codex":[0.9998248,0.00002675025,0.00001042647,0.0000609274,0.00004940323,0.00002786912],"domain_scores_gemma":[0.9997928,0.00005675292,0.00003466019,0.00001554047,0.00008618833,0.00001411294],"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":[0.0001135296,0.00008674871,0.004623533,0.00006266213,0.00008685724,0.0001346143,0.00006058913,0.8358073,0.006843279,0.003188599,0.002475667,0.1465167],"study_design_scores_gemma":[0.000001485669,0.000007848709,0.000236062,0.000001506494,0.000003766846,0.000006384504,0.000001544365,0.9992315,0.0001388121,0.0002461976,0.0001233658,0.000001609051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05610975,0.0004441412,0.939823,0.0001956563,0.00007090272,0.00002568838,0.0002092385,0.0009721878,0.002149495],"genre_scores_gemma":[0.9300183,0.0004130287,0.06468501,0.00009981217,0.0000461936,0.00008341432,0.0005126046,0.0000502549,0.004091305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008430139,"threshold_uncertainty_score":0.0167622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418151292326778,"score_gpt":0.267646310467673,"score_spread":0.2434647975444052,"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."}}