{"id":"W3135859256","doi":"10.1016/j.scitotenv.2021.146112","title":"A guideline to frame stressor effects in freshwater ecosystems","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wildlife Conservation Society Canada; University of Saskatchewan","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Stressor; Context (archaeology); DPSIR; Environmental resource management; Ecosystem; Freshwater ecosystem; Comparability; Threatened species; Environmental planning; Environmental science; Ecology; Psychology; Geography; Biology; Clinical psychology; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052182,0.0001410331,0.0001742013,0.00003148045,0.0002183444,0.00003794796,0.001090784,0.00003667239,0.000675201],"category_scores_gemma":[0.0001020923,0.00007454844,0.00007636381,0.0005438298,0.0005883357,0.0001175178,0.001564157,0.0001313191,0.0003412927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208572,"about_ca_system_score_gemma":0.00002943536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007516721,"about_ca_topic_score_gemma":0.0006281989,"domain_scores_codex":[0.9978067,0.0001175412,0.0003709207,0.0004339659,0.0008580348,0.0004128774],"domain_scores_gemma":[0.9987942,0.00005883036,0.0001126684,0.0009152899,0.000005832504,0.000113193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007116652,0.000123762,0.002304893,0.00001458243,0.000004567686,0.000008870739,0.0006626934,0.5758885,0.4199068,0.0002556418,0.0003346301,0.0004879366],"study_design_scores_gemma":[0.001063035,0.0003092367,0.1966141,0.0004427051,0.00004657326,0.0001348501,0.001096343,0.395478,0.3960585,0.003047366,0.004846126,0.0008632742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950032,0.00004885822,0.0001442699,0.002263332,0.0003191417,0.0004617938,0.00001054346,0.000006060638,0.001742795],"genre_scores_gemma":[0.9974238,0.000008174318,0.001081994,0.0001062297,0.00001879492,0.00002820687,6.598316e-7,0.000008599162,0.0013236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943092,"threshold_uncertainty_score":0.7392977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003721288266158889,"score_gpt":0.2001266030749571,"score_spread":0.1964053148087982,"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."}}