{"id":"W2108614290","doi":"10.5194/hess-15-471-2011","title":"Climate change and mountain water resources: overview and recommendations for research, management and policy","year":2011,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":702,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Centrum fÖr Personcentrerad Vård; Engineering and Physical Sciences Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Water resources; Climate change; Environmental resource management; Integrated water resources management; Environmental science; Evapotranspiration; Environmental planning; Water resource management; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001409923,0.0000892381,0.0001472734,0.00009807539,0.001402908,0.00007382906,0.00007786343,0.00004477644,0.00005541366],"category_scores_gemma":[0.00001096004,0.00005779037,0.00001100001,0.000172671,0.0006061945,0.0001940453,0.00007611729,0.00005253344,0.000005844041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001420766,"about_ca_system_score_gemma":0.000004117869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737986,"about_ca_topic_score_gemma":0.002406172,"domain_scores_codex":[0.9989251,0.0001114407,0.0001523967,0.000317728,0.00009746866,0.0003959011],"domain_scores_gemma":[0.9996226,0.0001504726,0.00003414722,0.00007632971,0.00002237492,0.00009401583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008703081,0.00001909451,0.7764667,0.0007357846,0.00005467123,0.00000982178,0.01884706,0.000006690009,0.000003488943,0.05953435,0.0002716605,0.1439637],"study_design_scores_gemma":[0.0004167875,0.0005946362,0.9225317,0.0001133907,0.00002920167,0.00006320653,0.01203898,0.007822268,0.000004058793,0.003737941,0.05247001,0.0001777887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830629,0.008394375,0.00001291854,0.00340566,0.0001000851,0.00048321,0.00004910105,0.00002280529,0.004468948],"genre_scores_gemma":[0.9905084,0.007637617,0.00122933,0.0004137411,0.00007418211,0.00002598485,0.000007465695,0.000001841938,0.0001014782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460651,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2169941021526078,"score_gpt":0.3226438885214192,"score_spread":0.1056497863688114,"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."}}