{"id":"W2029039279","doi":"10.5194/bg-7-585-2010","title":"Dynamics and distribution of natural and human-caused hypoxia","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration; Tampa Bay Estuary Program","keywords":"Hypoxia (environmental); Environmental science; Bottom water; Eutrophication; Population; Total organic carbon; Upwelling; Anoxic waters; Ecology; Nutrient; Oxygen; Oceanography; Biology; Geology; Chemistry","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":[0.0001849767,0.00006189607,0.00009037514,0.000926001,0.0001948404,0.0004163678,0.0002077715,0.0001990413,0.00261291],"category_scores_gemma":[0.0005612449,0.00007370223,0.0001028415,0.0007921213,0.0003746379,0.0002695491,0.0004079056,0.00011373,0.0002468746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887536,"about_ca_system_score_gemma":0.0003005946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007796417,"about_ca_topic_score_gemma":0.01272745,"domain_scores_codex":[0.9998467,0.00002903128,0.00001509039,0.00004069725,0.00002576436,0.00004264156],"domain_scores_gemma":[0.9994124,0.00005309995,0.0002668436,0.00001908358,0.0001186728,0.0001298313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442297,0.00001619353,0.9880983,0.00004469088,0.00003839262,0.0001250441,0.0003399986,0.0002181147,0.001173839,0.0003565722,0.0005381947,0.008906489],"study_design_scores_gemma":[0.000001328484,0.00002526909,0.998806,0.000004968059,0.000002504012,0.000102698,0.0002285725,0.0002276542,0.0000618468,0.00004896817,0.0004878036,0.000002342112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996547,0.0004185402,0.0001201499,0.0001112242,0.00000642562,0.000007098608,0.001102114,0.000010776,0.001676551],"genre_scores_gemma":[0.9992494,0.0001067227,0.00004373143,0.000007965406,0.000007800063,0.000003895695,0.0003054502,0.000001195076,0.0002738041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007796417,"threshold_uncertainty_score":0.01550204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399229915885583,"score_gpt":0.2016707369091721,"score_spread":0.1942715069932865,"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."}}