{"id":"W1999930414","doi":"10.1007/s00704-009-0116-y","title":"Low-frequency sea-level variability in the South China Sea and its relationship with ENSO","year":2009,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Tide gauge; Sea level; Altimeter; Climatology; Annual cycle; Environmental science; Sea-surface height; Oceanography; Geology; Sea surface temperature; Geodesy","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":[0.0007897502,0.0001190733,0.0001801737,0.00002407122,0.0001485676,0.00002944261,0.0001124765,0.00007860817,0.0001145892],"category_scores_gemma":[0.00005650201,0.00006804129,0.00001352724,0.0001296835,0.0003388915,0.00003395206,0.000007405631,0.0002329733,0.00002625446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001255927,"about_ca_system_score_gemma":0.00001511349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462398,"about_ca_topic_score_gemma":0.00005037743,"domain_scores_codex":[0.9990144,0.0001804548,0.0001472481,0.0002472277,0.0001455155,0.000265115],"domain_scores_gemma":[0.9994324,0.0003078954,0.00003351434,0.0001353377,0.00001283154,0.00007799279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000573196,0.00002796248,0.3473179,0.00001096293,0.00000251556,0.000003482825,0.0003588782,0.000005925468,0.00001073638,0.6507483,0.000001726606,0.00145435],"study_design_scores_gemma":[0.0002183082,0.00006571206,0.5714278,0.000003980203,0.000009221721,0.00001548868,0.00005604541,0.0003002077,0.00001952651,0.4278186,0.000001924265,0.0000631823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782084,0.00003387491,0.0001183549,0.001536952,0.00001419688,0.0002066012,0.00004711577,0.00001127357,0.01982328],"genre_scores_gemma":[0.9993169,0.000007013454,0.0002054255,0.0004123108,0.00001641317,0.0000021464,0.00003560945,0.000001587878,0.000002615166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2241099,"threshold_uncertainty_score":0.2774643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682026489239283,"score_gpt":0.2130765753790104,"score_spread":0.1962563104866175,"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."}}