{"id":"W2082560343","doi":"10.1002/2014jc010491","title":"River‐tide dynamics: Exploration of nonstationary and nonlinear tidal behavior in the <scp>Y</scp>angtze <scp>R</scp>iver estuary","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"China Scholarship Council; Ministry of Water Resources; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Koninklijk Nederlands Instituut voor Onderzoek der Zee; National Science Foundation","keywords":"Estuary; Yangtze river; Tidal river; Amplitude; Tidal range; Flow (mathematics); Oceanography; Hydrology (agriculture); Geology; Streamflow; Environmental science; Geography; Physics; Geotechnical engineering","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":[0.0016959,0.0001510763,0.0002893913,0.0001507504,0.0001484706,0.00008805184,0.0004813562,0.00008338191,0.000009471916],"category_scores_gemma":[0.001576772,0.0001007017,0.00009930102,0.0008569473,0.0006093372,0.001175334,0.0000421201,0.0006694359,0.00002425655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719833,"about_ca_system_score_gemma":0.0004379854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915782,"about_ca_topic_score_gemma":0.0004548756,"domain_scores_codex":[0.9971052,0.0003646768,0.000447953,0.0001980522,0.001465391,0.0004186904],"domain_scores_gemma":[0.9957317,0.002962176,0.000230346,0.0001553132,0.0006395238,0.0002810004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009582954,0.0008850722,0.9509026,0.0001150037,0.00007605405,0.0005265873,0.01265012,0.001130977,0.00007979674,0.0006123976,0.0111416,0.02178396],"study_design_scores_gemma":[0.001161479,0.002551397,0.9150334,0.0001269047,0.00005882005,0.00009056539,0.03751941,0.02782783,0.00008156471,0.01242479,0.003056594,0.00006724076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967146,0.0006969744,0.0003012982,0.0002501773,0.0001007389,0.0001994653,0.00007909107,0.000006633099,0.001651043],"genre_scores_gemma":[0.9967335,0.0006278731,0.001877252,0.00007002573,0.0002888282,0.000001455713,0.00005529226,0.000006890957,0.0003388987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03586921,"threshold_uncertainty_score":0.4106495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949541766774424,"score_gpt":0.3036303965468754,"score_spread":0.2541349788791312,"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."}}