{"id":"W2940814571","doi":"10.1016/j.pocean.2019.04.008","title":"Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea","year":2019,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Marine ecosystem; Ecosystem; Fishing; Environmental science; Climate change; Oceanography; Overfishing; Trophic level; Sea surface temperature; Ecology; Geography; Biology; Geology","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":[0.0005141101,0.0002202934,0.0002449401,0.000448084,0.0004181209,0.0005508077,0.0002421206,0.0003466359,0.0008543924],"category_scores_gemma":[0.0006452691,0.0002185061,0.0004659978,0.0006556776,0.0005268041,0.0005526011,0.0008611825,0.0003214868,0.00008915452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000990757,"about_ca_system_score_gemma":0.0008394803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399812,"about_ca_topic_score_gemma":0.04071425,"domain_scores_codex":[0.9998893,0.00001643542,0.00001457555,0.00003283809,0.0000126776,0.00003433099],"domain_scores_gemma":[0.9996402,0.00005041816,0.0001094167,0.00004692449,0.00005068045,0.0001024173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003103658,0.00006188542,0.9868782,0.00002144438,0.0002111891,0.0002052666,0.0004644048,0.001191741,0.007884954,0.0001573487,0.0001208676,0.002492222],"study_design_scores_gemma":[0.000002640849,0.000008095144,0.9995174,8.434142e-7,0.00001032717,0.000008039588,0.00009029791,0.0002251678,0.00007684129,0.00002378261,0.00003434058,0.000002213323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998099,0.00002743301,0.00001506639,0.00001847646,0.00000226829,6.765792e-7,0.0000567906,0.00000102421,0.00006836262],"genre_scores_gemma":[0.9996493,0.00003233932,0.00001248184,0.00001055947,0.000002767159,0.000002082055,0.0001305154,0.000001152347,0.0001588273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02399812,"threshold_uncertainty_score":0.04771686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008204707531667792,"score_gpt":0.2357388762863467,"score_spread":0.2275341687546789,"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."}}