{"id":"W2022831624","doi":"10.1175/2009jcli3062.1","title":"Empirical Orthogonal Functions: The Medium is the Message","year":2009,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":323,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Empirical orthogonal functions; Curse of dimensionality; Degrees of freedom (physics and chemistry); Mode (computer interface); Interpretation (philosophy); Statistical physics; Function (biology); Variance (accounting); Computer science; Climatology; Mathematics; Geology; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009914375,0.00006904353,0.0001276131,0.00003100684,0.0003463856,0.0000629063,0.0002502972,0.00003546981,0.004804834],"category_scores_gemma":[0.0001108018,0.0000257583,0.0001259969,0.0001613293,0.00007078027,0.0001373803,0.000005540008,0.0002696156,0.0001360451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000203103,"about_ca_system_score_gemma":0.00003276873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002965348,"about_ca_topic_score_gemma":0.00001973064,"domain_scores_codex":[0.9989511,0.0001412419,0.0003289533,0.00006445476,0.00033183,0.0001824048],"domain_scores_gemma":[0.9989932,0.0005559948,0.0001866713,0.000117787,0.00006347278,0.00008289044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004500933,0.0001215911,0.8486224,0.00000698248,0.0001138309,0.00006494575,0.0013614,0.02099428,0.00005629372,0.0009313675,0.04407281,0.08320398],"study_design_scores_gemma":[0.0001583675,0.000268704,0.9364121,0.000004299699,0.00003340757,0.00005328473,0.000151067,0.00170076,0.000002631561,0.0102676,0.05090391,0.00004388157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938841,0.001204293,0.0002761191,0.06747247,0.0006004624,0.00009403527,0.000032551,0.00001122088,0.03642473],"genre_scores_gemma":[0.9911808,0.000291741,0.0001029207,0.00792323,0.0003542416,1.023764e-7,0.000003322646,8.673717e-7,0.0001427786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09729668,"threshold_uncertainty_score":0.9961049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065427514699529,"score_gpt":0.287172579753372,"score_spread":0.2465183046063767,"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."}}