{"id":"W2624953994","doi":"10.1002/ecs2.1846","title":"High salmon density and low discharge create periodic hypoxia in coastal rivers","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Australian Government; Nature Conservancy; Alaska Department of Fish and Game; National Park Service; Massachusetts Department of Fish and Game","keywords":"Hypoxia (environmental); Environmental science; Discharge; Oncorhynchus; Streamflow; Snow; Precipitation; STREAMS; Hydrology (agriculture); Fishery; Ecology; Oceanography; Oxygen; Biology; Geography; Fish <Actinopterygii>; Drainage basin; 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":[0.0002007018,0.0001318724,0.0001848048,0.0002580369,0.0003478372,0.0005238726,0.0001756831,0.0001941856,0.0006779872],"category_scores_gemma":[0.0006153874,0.0001942939,0.0002888735,0.0002869709,0.0002323764,0.0002388223,0.0004222087,0.0001572754,0.00005107979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005323166,"about_ca_system_score_gemma":0.0003283338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0179263,"about_ca_topic_score_gemma":0.02217557,"domain_scores_codex":[0.9999027,0.00001815918,0.00001320872,0.00003051823,0.00001505751,0.00002035661],"domain_scores_gemma":[0.99975,0.00006472345,0.00009576231,0.00002074927,0.00003701132,0.00003166352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006533203,0.00004873095,0.9721263,0.00002168846,0.00008355545,0.0001235555,0.0001264186,0.01671079,0.007361997,0.0001918099,0.0001743293,0.002965619],"study_design_scores_gemma":[0.00000821748,0.00007224018,0.9583898,0.000008280398,0.00004318729,0.00006169843,0.0004657747,0.03947992,0.0009047521,0.0002514166,0.0003034174,0.00001134332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994832,0.000009623265,0.0001949104,0.000009445184,0.000001061476,0.000001547688,0.00006302122,0.000009811907,0.0002273755],"genre_scores_gemma":[0.9997901,0.00000729973,0.00009527097,0.000003894229,7.428908e-7,0.00000162648,0.00005845543,9.355067e-7,0.00004168858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0179263,"threshold_uncertainty_score":0.03564394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005735057379533657,"score_gpt":0.1944908903697752,"score_spread":0.1887558329902415,"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."}}