{"id":"W2195328857","doi":"10.1038/srep17767","title":"Contribution of human and climate change impacts to changes in streamflow of Canada","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; University of Alberta","keywords":"Streamflow; Climate change; Evapotranspiration; Environmental science; Precipitation; Watershed; Glacier; Climatology; Hydrology (agriculture); Drainage basin; Physical geography; Geography; Ecology; Meteorology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005036773,0.0002441937,0.0002004738,0.0009058905,0.001042602,0.0009689241,0.000388514,0.0001758096,0.001240518],"category_scores_gemma":[0.001898452,0.0001707446,0.0005079546,0.001642311,0.0005210201,0.0002603217,0.000598186,0.0003340871,0.00009071585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01392899,"about_ca_system_score_gemma":0.0195587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890014,"about_ca_topic_score_gemma":0.9900987,"domain_scores_codex":[0.9996064,0.00003520096,0.00001873503,0.00007125118,0.0001441381,0.0001242422],"domain_scores_gemma":[0.999157,0.0001191861,0.0001151717,0.00004955448,0.0003807902,0.0001783159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003323113,0.000008196153,0.9825059,0.00001710293,0.0001137396,0.0000503206,0.0001718977,0.008620436,0.0003755616,0.0005084598,0.0003764002,0.007218757],"study_design_scores_gemma":[0.000001681854,0.00000328607,0.9919741,0.000008039553,0.00003426647,0.00002646572,0.0002738792,0.005755835,0.0001970933,0.0001659582,0.001545887,0.0000134691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947315,0.0002049568,0.0005255588,0.0001645958,0.000005212834,0.0000115066,0.002161437,0.00001853757,0.002176508],"genre_scores_gemma":[0.9979895,0.0001819131,0.0003136968,0.00001292885,0.00000214981,0.000003145808,0.000783382,0.000004076639,0.0007091546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392899,"threshold_uncertainty_score":0.1010624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191075088020724,"score_gpt":0.2418719918325266,"score_spread":0.2227644830304542,"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."}}