{"id":"W4311091136","doi":"10.1016/j.hydroa.2022.100144","title":"Assessing the influence of calibration methodology and model structure on glacio-hydrological simulations in the Cheakamus River Basin, British Columbia, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology X","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Pacific Institute for Climate Solutions","funders":"Canada First Research Excellence Fund","keywords":"Glacier; Calibration; Structural basin; Environmental science; Drainage basin; Streamflow; Hydrology (agriculture); Magnitude (astronomy); Climate change; Physical geography; Climatology; Geology; Geography; Statistics; Geomorphology; Cartography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006077638,0.00004890609,0.0001838148,0.00001585447,0.0004392355,0.00003821057,0.0001899073,0.00003882685,0.000249708],"category_scores_gemma":[0.0002362271,0.00003763948,0.00002720863,0.0001828937,0.0001605283,0.0001167519,0.00002167141,0.0003759479,2.777276e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119198,"about_ca_system_score_gemma":0.0001721401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3826738,"about_ca_topic_score_gemma":0.8856351,"domain_scores_codex":[0.9987173,0.0005646016,0.0002919702,0.00008978445,0.0002113614,0.0001249683],"domain_scores_gemma":[0.9983129,0.001309598,0.0002367057,0.00007725494,0.00004098415,0.00002253757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001123919,0.000006247487,0.3742499,0.000001046756,0.000009009703,0.00001752792,0.0002593158,0.6248276,0.00001232631,0.00001033006,0.0001880534,0.0004073107],"study_design_scores_gemma":[0.0001557834,0.0001652371,0.7975733,0.000001910644,0.00001700999,0.0001922608,0.0003784276,0.1984143,4.025811e-7,0.002696959,0.0003730755,0.00003131543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962393,0.0002790762,0.0001130364,0.003111198,0.0001033201,0.00007799079,0.00005403288,0.000001240907,0.00002078972],"genre_scores_gemma":[0.9961317,0.00002391123,0.0005642205,0.003232968,0.00003154935,5.477353e-7,0.000006778944,0.000001236867,0.000007158431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5029613,"threshold_uncertainty_score":0.6214371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517697685623982,"score_gpt":0.2602266719935789,"score_spread":0.225049695137339,"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."}}