{"id":"W4388941278","doi":"10.1007/s10584-023-03634-w","title":"Future flow and water temperature scenarios in an impounded drainage basin: implications for summer flow and temperature management downstream of the dam","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Pacific Institute for Climate Solutions; University of Victoria; École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Rio Tinto","keywords":"Environmental science; Climate change; Drainage basin; Coupled model intercomparison project; Habitat; Oncorhynchus; Hydrology (agriculture); Streamflow; Water column; Ecosystem; Climatology; Climate model; Oceanography; Ecology; Fish <Actinopterygii>; Fishery; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002662524,0.0001493011,0.0001813084,0.00005867584,0.0003241792,0.00003246832,0.0001658462,0.00009670547,0.00009611654],"category_scores_gemma":[0.00001226056,0.00009172097,0.00003402334,0.0002444364,0.00018005,0.0001822491,0.0004397018,0.00009931828,0.00001023639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178366,"about_ca_system_score_gemma":0.000001750175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203744,"about_ca_topic_score_gemma":0.002298256,"domain_scores_codex":[0.9991126,0.00004285332,0.0001661206,0.0003083146,0.00008305507,0.0002870445],"domain_scores_gemma":[0.9995635,0.00003691424,0.0000392596,0.0003074676,0.000007443731,0.00004539766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00011486,0.0006277331,0.7848731,0.002267336,0.000254029,0.00002148333,0.0404438,0.0001811819,0.006992017,0.002600021,0.1422637,0.01936079],"study_design_scores_gemma":[0.0006459451,0.00006406131,0.9902879,0.00004190396,0.00005628855,0.000002037103,0.002850328,0.0008744275,0.00006645953,0.001935219,0.003026534,0.0001489047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724363,0.00004331081,0.000001751989,0.02444811,0.0001799951,0.001700408,0.00006879302,0.00003461292,0.001086688],"genre_scores_gemma":[0.9955387,0.0002903971,0.0006262136,0.002006608,0.00007238432,0.0006803255,0.0001013759,0.00001579301,0.0006682485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2054148,"threshold_uncertainty_score":0.3740273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263588993386697,"score_gpt":0.2526675897878948,"score_spread":0.2300316998540278,"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."}}