{"id":"W2008078843","doi":"10.1029/2002rg000112","title":"Nonlinear multivariate and time series analysis by neural network methods","year":2004,"lang":"en","type":"article","venue":"Reviews of Geophysics","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Singular spectrum analysis; Principal component analysis; Artificial neural network; Nonlinear system; Multivariate statistics; Time series; Computer science; Canonical correlation; Artificial intelligence; Data mining; Algorithm; Pattern recognition (psychology); Machine learning; Singular value decomposition; Physics","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":[0.001007947,0.001077683,0.000647885,0.001079767,0.0002445112,0.001095232,0.0007808268,0.0008818111,0.002530743],"category_scores_gemma":[0.003254078,0.0003126248,0.0008004801,0.001651717,0.0006868469,0.001603513,0.0008846456,0.001421771,0.0007492483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731857,"about_ca_system_score_gemma":0.0005662137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136839,"about_ca_topic_score_gemma":0.00342666,"domain_scores_codex":[0.9994831,0.0002002142,0.00003898192,0.0001181894,0.0001312902,0.00002825515],"domain_scores_gemma":[0.9993931,0.0003958821,0.00007055399,0.00004358977,0.00008264724,0.00001424717],"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":[0.00005034559,0.00003408724,0.0009191639,0.0003211324,0.0001758084,0.0001277949,0.00009943077,0.6356571,0.001755803,0.1666198,0.003544891,0.1906946],"study_design_scores_gemma":[0.00000362968,0.000005543095,0.0001798993,0.00001828493,0.000008720852,0.00001574099,0.00000600608,0.953481,0.0002266678,0.04349048,0.002555557,0.00000855035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001999303,0.002301338,0.9924173,0.0002788728,0.0001143724,0.00002929143,0.00009243642,0.0001926948,0.002574452],"genre_scores_gemma":[0.2537271,0.01304971,0.7171128,0.0003129723,0.001126491,0.0005688938,0.0007490419,0.0002019665,0.01315095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004136839,"threshold_uncertainty_score":0.008466244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738693543015787,"score_gpt":0.306944462637972,"score_spread":0.2895575272078141,"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."}}