{"id":"W1977403945","doi":"10.1080/07011784.2015.1006023","title":"Climate and water availability indicators in Canada: Challenges and a way forward. Part I – Indicators","year":2015,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Waterloo; Environment and Climate Change Canada","funders":"Ministerio de Economía y Competitividad; Government of Canada","keywords":"Environmental science; Streamflow; Evapotranspiration; Water resources; Climate change; Precipitation; Surface runoff; Water supply; Water resource management; Water balance; Water use; Hydrology (agriculture); Environmental resource management; Geography; Meteorology; Drainage basin; Environmental engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008569533,0.001121987,0.001070588,0.008084903,0.004745713,0.008983191,0.002206578,0.001696041,0.004319874],"category_scores_gemma":[0.01290153,0.000470435,0.0008590373,0.02474377,0.004095798,0.005485038,0.002260524,0.00393569,0.0004265119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09694185,"about_ca_system_score_gemma":0.2135221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929604,"about_ca_topic_score_gemma":0.99417,"domain_scores_codex":[0.995315,0.0005490377,0.0002738133,0.0002694818,0.002769068,0.0008235754],"domain_scores_gemma":[0.9822344,0.002582174,0.0009009161,0.0003067204,0.01214141,0.001834284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007836947,0.00008507988,0.05031393,0.002210781,0.0001361024,0.0002010689,0.002734037,0.005430866,0.0005630061,0.1191939,0.3029565,0.5160962],"study_design_scores_gemma":[0.000008731615,0.00003996269,0.1152166,0.002484613,0.00008581946,0.0001081934,0.006626102,0.005115247,0.0005514218,0.02031741,0.8492228,0.0002229395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02731089,0.4555157,0.01605973,0.3973962,0.00629803,0.0003399084,0.01519289,0.0006380275,0.08124864],"genre_scores_gemma":[0.3468556,0.4820372,0.07621211,0.02188821,0.003874559,0.0003529351,0.01471193,0.0004796002,0.05358789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09694185,"threshold_uncertainty_score":0.7033657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300318150048163,"score_gpt":0.1865089444704109,"score_spread":0.1735057629699293,"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."}}