{"id":"W2884695804","doi":"10.1038/s41598-018-29807-7","title":"Effects of human-driven water stress on river ecosystems: a meta-analysis","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; European Commission; Seventh Framework Programme; Canadian Institute for Advanced Research","keywords":"Ecosystem; Environmental science; Aquatic ecosystem; Organic matter; Ecology; Water quality; Primary production; Freshwater ecosystem; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000820088,0.0001364516,0.0004551356,0.0001581588,0.0004770619,0.00003649951,0.0001811702,0.0000457261,0.005611159],"category_scores_gemma":[0.00003219698,0.00008490669,0.00036721,0.0004131527,0.0009209666,0.0001250631,0.0003378697,0.00004703456,0.0005381387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004040401,"about_ca_system_score_gemma":0.00000236974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001472851,"about_ca_topic_score_gemma":0.003007492,"domain_scores_codex":[0.9981515,0.0000885859,0.0003625524,0.0006826842,0.0004353397,0.000279284],"domain_scores_gemma":[0.9989987,0.00003570678,0.0002182039,0.0006699036,0.00002798556,0.00004949513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000247369,0.001219849,0.3785338,0.0002413893,0.08161058,0.0009546045,0.006762856,0.002093615,0.04320639,0.0002491879,0.4850002,0.0001027759],"study_design_scores_gemma":[0.0003781082,0.0005476474,0.237585,0.00001584919,0.1066852,0.000009960002,0.0001598236,0.0003091385,0.6033131,0.006778638,0.04348878,0.0007287351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795732,0.00001275066,0.00005921221,0.0001078863,0.001440817,0.0003913711,0.000002366713,0.00003259509,0.01837981],"genre_scores_gemma":[0.9843465,5.739442e-7,0.00006752812,0.00007764395,0.00001931471,0.0000490394,0.00001404028,0.000005733679,0.01541962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601068,"threshold_uncertainty_score":0.9952978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906524680545741,"score_gpt":0.2467416409975539,"score_spread":0.2276763941920965,"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."}}