{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001573366,0.0003108308,0.0002313048,0.0000698794,0.001041373,0.000142504,0.0008418988,0.00009560365,0.00004706765],"category_scores_gemma":[0.00003347484,0.000147979,0.00008225835,0.0003168077,0.001566677,0.000771714,0.001147245,0.0003203296,0.00005313764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740865,"about_ca_system_score_gemma":0.00001436905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131188,"about_ca_topic_score_gemma":0.00001939767,"domain_scores_codex":[0.9973912,0.000248245,0.0002506056,0.0005501951,0.0008548796,0.0007048836],"domain_scores_gemma":[0.9990208,0.00004909186,0.0001878953,0.0006478687,0.000005564445,0.00008879809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002457472,0.0005512504,0.002376906,0.0000578351,0.00005317635,0.00002135491,0.01338314,0.4979021,0.4844412,0.0003236415,0.0002077598,0.0004359705],"study_design_scores_gemma":[0.001426848,0.001221511,0.6140287,0.0005941736,0.0002129162,0.00008856964,0.002634559,0.2698205,0.1084915,0.0006178367,0.00002166869,0.0008412334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954022,0.00004738214,8.756952e-7,0.002610081,0.0001938359,0.000728026,0.00003283213,0.00001220431,0.000972543],"genre_scores_gemma":[0.9993231,0.00006874885,0.00004324673,0.0003694314,0.00009149692,0.00001543255,0.000001298288,0.00001486047,0.00007237923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6116518,"threshold_uncertainty_score":0.8009504,"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."}}