{"id":"W4246473603","doi":"10.5194/hess-2019-59","title":"Spatially-distributed tracer-aided runoff modelling and dynamics ofstorage and water ages in a permafrost-influenced catchment","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Global Water Futures; European Research Council","keywords":"Surface runoff; Permafrost; Environmental science; TRACER; Hydrology (agriculture); Snowmelt; Snow; Drainage basin; Water storage; Geology; Geomorphology; Ecology; Geography; Oceanography","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":[0.0003887415,0.0003572805,0.0004296123,0.0003049105,0.0003538344,0.0007246099,0.0009497979,0.0008784102,0.0007810553],"category_scores_gemma":[0.00070565,0.0002503342,0.000509519,0.0005102864,0.0005884108,0.0003732634,0.0004346779,0.0003806509,0.00007106412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003217919,"about_ca_system_score_gemma":0.002044533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2470714,"about_ca_topic_score_gemma":0.1679496,"domain_scores_codex":[0.9998626,0.00004158926,0.000006394772,0.00004574976,0.0000126121,0.00003097051],"domain_scores_gemma":[0.9997144,0.0001277403,0.00003652127,0.00002849892,0.00005515547,0.00003766711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004211356,0.00005251894,0.006197779,0.000007918927,0.0000159989,0.00005007355,0.00003550215,0.990778,0.0009956445,0.0003663669,0.00004870409,0.001409426],"study_design_scores_gemma":[0.00001767848,0.00001174198,0.002017875,9.798164e-7,0.000003509868,0.000003926089,0.00001417495,0.9976193,0.0001574023,0.00008489962,0.00006443878,0.000004031386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965745,0.00002179476,0.002430768,0.00004258352,0.000002676712,0.00001509893,0.000229269,0.00007759975,0.0006056962],"genre_scores_gemma":[0.9979318,0.00001509223,0.001577025,0.000006956504,0.000001236105,0.00001131572,0.0001435091,0.000007548658,0.0003055104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2470714,"threshold_uncertainty_score":0.4912666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741452967687904,"score_gpt":0.2354991297946067,"score_spread":0.2080846001177277,"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."}}