{"id":"W1977104559","doi":"10.5194/bgd-6-6889-2009","title":"Coastal hypoxia responses to remediation","year":2009,"lang":"en","type":"article","venue":"","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Maryland Sea Grant, University of Maryland; National Oceanic and Atmospheric Administration; California HIV/AIDS Research Program; U.S. Department of Commerce; National Science Foundation","keywords":"Bay; Environmental remediation; Geography; Oceanography; Environmental protection; Library science; Environmental science; Archaeology; Ecology; Geology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201737,0.0002381774,0.0002005482,0.0002401934,0.0002812307,0.000419414,0.000276542,0.0002711497,0.001454071],"category_scores_gemma":[0.0007013862,0.00006579145,0.0002903161,0.0003606439,0.0002387513,0.0002769394,0.0006225001,0.0002272764,0.0001821165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062666,"about_ca_system_score_gemma":0.0006140782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137025,"about_ca_topic_score_gemma":0.01558278,"domain_scores_codex":[0.9997895,0.00002908737,0.00001890417,0.0000561493,0.00006670941,0.00003951327],"domain_scores_gemma":[0.9993966,0.000049096,0.0003005952,0.0000255938,0.0001778232,0.00005026503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001026612,0.0002105449,0.3797207,0.00143394,0.000361343,0.0009154223,0.00139177,0.009596468,0.4987455,0.0009508085,0.002613931,0.103033],"study_design_scores_gemma":[0.00001168744,0.0006123818,0.9619596,0.00003898212,0.00005380487,0.0001563142,0.0008979365,0.0025421,0.02726783,0.0003692218,0.006067396,0.00002276506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926725,0.000966192,0.0008906581,0.0002906421,0.00001958027,0.00004729336,0.0007058424,0.00006007951,0.004347256],"genre_scores_gemma":[0.9977362,0.0004611452,0.0004353639,0.00009720272,0.000008593188,0.0000231766,0.0003683511,0.000004360555,0.0008655908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137025,"threshold_uncertainty_score":0.0226081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294158366566834,"score_gpt":0.2102870872080572,"score_spread":0.1973455035423889,"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."}}