{"id":"W2903428691","doi":"10.1080/07011784.2018.1537812","title":"CMIP5 drought projections in Canada based on the Standardized Precipitation Evapotranspiration Index","year":2018,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Climate variability and models","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Evapotranspiration; Precipitation; Coupled model intercomparison project; Environmental science; Climatology; Forcing (mathematics); Water balance; Climate model; Climate change; Representative Concentration Pathways; Atmospheric sciences; Physical geography; Geography; Geology; Meteorology; Oceanography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002220655,0.0007516663,0.0002168676,0.001082536,0.0009359029,0.0006773698,0.0004729426,0.0002394057,0.002872904],"category_scores_gemma":[0.0004377879,0.0001740572,0.0004750474,0.002370962,0.0001888924,0.0003403502,0.0003496594,0.0005284547,0.0003530493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02133345,"about_ca_system_score_gemma":0.0212154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901759,"about_ca_topic_score_gemma":0.9906741,"domain_scores_codex":[0.9998215,0.000009003696,0.000005717457,0.00001956173,0.00007184622,0.0000723318],"domain_scores_gemma":[0.9996233,0.000008625326,0.00002567622,0.000004890564,0.0002800009,0.000057472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006699066,0.0001232398,0.2982484,0.00108041,0.0008852893,0.000591957,0.0006097211,0.2424234,0.005529989,0.01910701,0.3176354,0.1130954],"study_design_scores_gemma":[0.0002064871,0.0000726585,0.5950826,0.0003734282,0.0003381276,0.000190836,0.001352373,0.2182227,0.002726871,0.004445399,0.1768024,0.0001861152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5192365,0.006926431,0.00888366,0.004488755,0.0004179639,0.0001398272,0.4088517,0.001743422,0.0493119],"genre_scores_gemma":[0.8703141,0.005245083,0.00917267,0.0003033208,0.00002933241,0.00007868842,0.1058123,0.0001166732,0.008927897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02133345,"threshold_uncertainty_score":0.1547858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675311629285035,"score_gpt":0.2043070255541428,"score_spread":0.1875539092612925,"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."}}