{"id":"W2565811213","doi":"10.1007/s11430-016-0141-x","title":"Frequency-specified EOF analysis and its application to Pacific decadal oscillation","year":2016,"lang":"en","type":"article","venue":"Science China Earth Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Pacific decadal oscillation; Empirical orthogonal functions; Oscillation (cell signaling); Mode (computer interface); Climatology; Frequency analysis; Geology; Principal component analysis; Low-frequency oscillation; Function (biology); El Niño Southern Oscillation; Environmental science; Physics; Computer science; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325257,0.0001349686,0.0001518562,0.0003032927,0.0009389059,0.0001580075,0.0006174835,0.00003993906,0.0006083896],"category_scores_gemma":[0.0002007735,0.00008629994,0.0000447702,0.004738807,0.001730348,0.001398629,0.0002724901,0.00004633074,0.0003248886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006478088,"about_ca_system_score_gemma":0.0000549871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000254862,"about_ca_topic_score_gemma":0.0005717356,"domain_scores_codex":[0.9973541,0.00004203636,0.000237007,0.0009632166,0.0009184951,0.0004851625],"domain_scores_gemma":[0.9991919,0.00007473189,0.00009067055,0.0003214518,0.00002737265,0.0002939214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006579856,0.00003627348,0.3676401,0.000002597826,0.000004539437,4.433037e-7,0.001010322,0.003463121,0.6070876,0.007551864,0.00001438346,0.01318213],"study_design_scores_gemma":[0.0001007058,0.00008380417,0.9569509,0.000007083229,0.00002063661,0.000002737829,0.00009673252,0.02196701,0.01349698,0.006648728,0.000389072,0.0002355974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758598,0.00001252116,0.01060332,0.002074735,0.00009237268,0.0002947379,0.00001171645,0.00004730559,0.01100356],"genre_scores_gemma":[0.9967068,0.00002714437,0.002910197,0.00007962472,0.00002078447,0.00001677712,6.751307e-7,0.000002921375,0.0002350918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5935906,"threshold_uncertainty_score":0.72214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607809836036182,"score_gpt":0.2534078985120247,"score_spread":0.2373298001516629,"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."}}