{"id":"W2760887057","doi":"","title":"The Vulnerability of Saskatchewan Water Resource System to Multi-Year Hydrologic Droughts at North and South Saskatchewan Rivers: Fusing Paleo Tree Ring Data with Stochastic Reconstruction","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Vulnerability (computing); Resource (disambiguation); Hydrology (agriculture); Dendrochronology; Environmental science; Physical geography; Water resource management; Geology; Geography; Archaeology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001283101,0.0003001358,0.0003296096,0.001107201,0.0007345148,0.001258587,0.000824034,0.0007243414,0.001807516],"category_scores_gemma":[0.003103054,0.0004573048,0.0006680991,0.002704478,0.0004438563,0.0007995082,0.001066423,0.0005992848,0.0002690325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004772329,"about_ca_system_score_gemma":0.005791973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8453135,"about_ca_topic_score_gemma":0.9265339,"domain_scores_codex":[0.9996905,0.00007794444,0.00002714144,0.00008429211,0.00003539031,0.00008464244],"domain_scores_gemma":[0.9981674,0.0007618554,0.0001988127,0.0002470652,0.0004118923,0.0002129047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000186183,0.00005044324,0.8843041,0.00002580357,0.0006689572,0.0002101056,0.000341183,0.09602381,0.001599801,0.0009165609,0.002047656,0.0136254],"study_design_scores_gemma":[0.00002062136,0.00001347476,0.8534148,0.00003441559,0.0001229557,0.00003325611,0.001033811,0.1430156,0.0005298055,0.0006134947,0.001111564,0.0000561294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963437,0.00005871972,0.0005120072,0.0001746147,0.000007064429,0.000008970828,0.001943092,0.00002386711,0.0009280727],"genre_scores_gemma":[0.9971009,0.00008514237,0.0003577432,0.0000569405,0.000003384313,0.00001186901,0.001785943,0.00001050155,0.0005875849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546865,"threshold_uncertainty_score":0.311195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386097428436147,"score_gpt":0.2273378985904242,"score_spread":0.1934769243060627,"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."}}