{"id":"W4394731122","doi":"10.2139/ssrn.4791947","title":"Land Surface Hydrological Modelling of the Mackenzie River Basin: Parametrization to Simulate Streamflow and Permafrost Dynamics","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"","keywords":"Streamflow; Permafrost; Parametrization (atmospheric modeling); Drainage basin; Hydrology (agriculture); Geology; Structural basin; Climatology; Environmental science; Geomorphology; Physical geography; Geography; Oceanography; Cartography; Geotechnical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574577,0.0003716479,0.0003791936,0.0003230602,0.0003604962,0.000661024,0.0007395969,0.0006193863,0.001652798],"category_scores_gemma":[0.0008285543,0.0003445543,0.0004230978,0.0004924553,0.000290815,0.0007886539,0.0004815329,0.0004715738,0.0001641401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008378724,"about_ca_system_score_gemma":0.0008976322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07495213,"about_ca_topic_score_gemma":0.07478848,"domain_scores_codex":[0.9999313,0.0000228975,0.000004635542,0.00002081067,0.000008092451,0.00001220022],"domain_scores_gemma":[0.9998742,0.00005307729,0.00001445359,0.00002525766,0.0000172623,0.00001570543],"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":[0.00004019074,0.00003371835,0.00539156,0.00002051016,0.00004193188,0.00003077185,0.00004226084,0.9871759,0.001123949,0.001481226,0.0004912129,0.00412678],"study_design_scores_gemma":[0.00003618078,0.00001244377,0.006348908,0.000005018447,0.00001469326,0.000005905196,0.00001715589,0.9915849,0.0004500618,0.000717113,0.0007976955,0.000009925549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974659,0.0002377978,0.01302539,0.0003763226,0.00002890674,0.00004239739,0.002642536,0.000404774,0.008582979],"genre_scores_gemma":[0.9935123,0.0001128087,0.004183896,0.00002309433,0.000009429264,0.00004599378,0.0006846511,0.00006475692,0.001362955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9250479,"threshold_uncertainty_score":0.1490317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573951908878047,"score_gpt":0.234346562564598,"score_spread":0.2086070434758175,"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."}}