{"id":"W2894406638","doi":"10.1016/j.scitotenv.2018.09.344","title":"Assessing climate change impacts on stream temperature in the Athabasca River Basin using SWAT equilibrium temperature model and its potential impacts on stream ecosystem","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Alberta Innovates","keywords":"Environmental science; Climate change; Streamflow; Evapotranspiration; Representative Concentration Pathways; SWAT model; Hydrology (agriculture); Watershed; STREAMS; Ecosystem; Drainage basin; Structural basin; Effects of global warming; Global warming; Climate model; Ecology; Geology; Geography","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":[0.0003344539,0.0003302465,0.0001664319,0.000448262,0.0003564111,0.0004975354,0.0003960263,0.0003804262,0.0006823725],"category_scores_gemma":[0.0007367047,0.0001465796,0.000434558,0.000644323,0.0002135998,0.0005189073,0.0002546862,0.0002952537,0.00006131523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462768,"about_ca_system_score_gemma":0.001055398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2347954,"about_ca_topic_score_gemma":0.2613505,"domain_scores_codex":[0.9998633,0.00004750452,0.000009698268,0.00002487572,0.00002586757,0.00002885378],"domain_scores_gemma":[0.9997141,0.0001013719,0.00004407671,0.00002339227,0.00006513668,0.00005184538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004541471,0.0005592281,0.4585611,0.00006042581,0.0003280336,0.0004138818,0.0001336033,0.518348,0.006817403,0.001061913,0.001553952,0.01170819],"study_design_scores_gemma":[0.00005044303,0.00009270295,0.3772537,0.000007884524,0.00011308,0.00003188707,0.000318395,0.6195181,0.001816178,0.0003344419,0.0004307346,0.00003250706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986013,0.0000218571,0.0002441078,0.00008123433,0.00000472983,0.000005638247,0.0003932289,0.00002465345,0.0006233627],"genre_scores_gemma":[0.9993709,0.00001859897,0.0001849465,0.000005999821,0.000001658845,0.000004399706,0.0002708505,0.000003427727,0.0001392397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7652046,"threshold_uncertainty_score":0.4668574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962314469151128,"score_gpt":0.2458793829210862,"score_spread":0.2262562382295749,"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."}}